# ibm

Published articles for ibm.

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## NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error

DevFeed: [NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error](<https://devfeed.tech/articles/nasa-ibm-lunar-foundation-model-goes-open-source-with-a-2m-tile-dataset-and-22-lower-ice-mapping-error-17437.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/nasa-ibm-lunar-foundation-model-goes-open-source-with-a-2m-tile-dataset-and-22-lower-ice-mapping-error>)

Author: Harold Fritts

Published: 2026-09-14T16:43:16Z

Content type: news

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [lunar foundation model](<https://devfeed.tech/topics/lunar-foundation-model.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [data](<https://devfeed.tech/tags/data.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [lunar-foundation-model](<https://devfeed.tech/tags/lunar-foundation-model.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [nasa](<https://devfeed.tech/tags/nasa.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [space](<https://devfeed.tech/tags/space.md>)

### AI overview

IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source on Hugging Face, along with its weights, technical report, and training dataset. Built on TerraMind, the model uses multimodal lunar observations for tasks including ice-deposit mapping, volcanic-feature detection, and crater detection. Reported benchmarks show up to 22% lower ice-mapping error than SwinV2-B, while the accompanying dataset contains roughly 2 million image tiles from nine instruments across four lunar missions.

### Source excerpt

IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source, one of the first publicly available foundation models built for scientific study of the Moon. The weights, a technical report, and the machine-learning-ready dataset it was trained on are up on Hugging Face under the Prithvi family, which already covers Earth observation, The post NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error appeared first on StorageReview.com.

## LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program

DevFeed: [LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program](<https://devfeed.tech/articles/ltm-builds-a-lightwell-remediation-services-practice-around-ibm-and-red-hat-s-5b-open-source-program-12366.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/ltm-builds-a-lightwell-remediation-services-practice-around-ibm-and-red-hats-5b-open-source-program>)

Author: Harold Fritts

Published: 2026-09-11T16:35:51Z

Content type: news

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [ibm](<https://devfeed.tech/topics/ibm.md>), [open-source-security](<https://devfeed.tech/topics/open-source-security.md>), [supply-chain-security](<https://devfeed.tech/topics/supply-chain-security.md>), [Security](<https://devfeed.tech/topics/security.md>), [vulnerability](<https://devfeed.tech/topics/vulnerability.md>), [DevSecOps](<https://devfeed.tech/topics/devsecops.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [devsecops](<https://devfeed.tech/tags/devsecops.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-software](<https://devfeed.tech/tags/open-source-software.md>), [red-hat](<https://devfeed.tech/tags/red-hat.md>), [security](<https://devfeed.tech/tags/security.md>), [software-supply-chain](<https://devfeed.tech/tags/software-supply-chain.md>), [testing](<https://devfeed.tech/tags/testing.md>), [vulnerability](<https://devfeed.tech/tags/vulnerability.md>)

### AI overview

LTM is developing a remediation services practice around IBM and Red Hat's Lightwell program, which provides AI-generated, vendor-validated fixes for open-source software vulnerabilities. The offering is intended to help customers plan, prioritize, test, validate, and deploy patches at scale.

### Source excerpt

LTM, the Larsen & Toubro Group services company that was LTIMindtree until its February rebrand, is building a Lightwell remediation services practice around the $5 billion IBM and Red Hat program for securing open-source software with AI-generated, vendor-validated fixes. IBM's clearinghouse produces validated, production-ready patches for open-source dependencies; LTM's job is getting them into customer The post LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat's $5B Open-Source Program appeared first on StorageReview.com.

## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026

DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026](<https://devfeed.tech/articles/ibm-quantum-system-two-heads-to-switzerland-120-qubit-nighthawk-r2-at-cscs-by-end-of-2026-12365.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/ibm-quantum-system-two-heads-to-switzerland-120-qubit-nighthawk-r2-at-cscs-by-end-of-2026>)

Author: Harold Fritts

Published: 2026-09-11T16:25:47Z

Content type: news

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [ibm](<https://devfeed.tech/topics/ibm.md>), [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [Supercomputing](<https://devfeed.tech/topics/supercomputing.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [amd](<https://devfeed.tech/tags/amd.md>), [chemistry](<https://devfeed.tech/tags/chemistry.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [core](<https://devfeed.tech/tags/core.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [financial-services](<https://devfeed.tech/tags/financial-services.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hub](<https://devfeed.tech/tags/hub.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [processors](<https://devfeed.tech/tags/processors.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [science](<https://devfeed.tech/tags/science.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [supercomputing](<https://devfeed.tech/tags/supercomputing.md>)

### AI overview

IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services.

### Source excerpt

IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com.

## NASA and IBM open source lunar mapping tools

DevFeed: [NASA and IBM open source lunar mapping tools](<https://devfeed.tech/articles/nasa-and-ibm-open-source-lunar-mapping-tools-8531.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/10/nasa-and-ibm-open-source-lunar-mapping-tools/5295633>)

Author: Dan Robinson

Published: 2026-09-10T16:09:12Z

Content type: news

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [lunar-foundation-model](<https://devfeed.tech/tags/lunar-foundation-model.md>), [mapping](<https://devfeed.tech/tags/mapping.md>), [nasa](<https://devfeed.tech/tags/nasa.md>), [open-source](<https://devfeed.tech/tags/open-source.md>)

### AI overview

NASA and IBM open-source lunar mapping tools intended to help identify locations on the Moon and support scientific discoveries.

### Source excerpt

Can help you pick the perfect spot for your future evil lair, or boffins make discoveries about Earth's satellite

## Introducing IBM and NASA's new foundation model for the Moon

DevFeed: [Introducing IBM and NASA's new foundation model for the Moon](<https://devfeed.tech/articles/introducing-ibm-and-nasa-s-new-foundation-model-for-the-moon-17342.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/nasa-ibm-lunar-foundation-model>)

Author: Kim Martineau

Published: 2026-09-10T12:30:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [lunar foundation model](<https://devfeed.tech/topics/lunar-foundation-model.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [data](<https://devfeed.tech/topics/data.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Architecture](<https://devfeed.tech/topics/ai-architecture.md>)

Tags: [accelerated-discovery](<https://devfeed.tech/tags/accelerated-discovery.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [lunar-foundation-model](<https://devfeed.tech/tags/lunar-foundation-model.md>), [mapping](<https://devfeed.tech/tags/mapping.md>), [model](<https://devfeed.tech/tags/model.md>), [nasa](<https://devfeed.tech/tags/nasa.md>), [release](<https://devfeed.tech/tags/release.md>), [science](<https://devfeed.tech/tags/science.md>), [space](<https://devfeed.tech/tags/space.md>), [us](<https://devfeed.tech/tags/us.md>)

### AI overview

IBM and NASA are open-sourcing the NASA-IBM Lunar Foundation Model, a multimodal AI model that integrates lunar observations from US and Japanese missions across viewing angles, spatial scales, and measurement types. The model is intended to support lunar mapping, volcanic-history research, and searches for polar ice.

### Source excerpt

The multi-modal model could help astronauts navigate craters, investigate ancient lava, and search for ice, as the US plans for a long-term lunar presence.

## Switzerland's first IBM Quantum System Two

DevFeed: [Switzerland's first IBM Quantum System Two](<https://devfeed.tech/articles/switzerland-s-first-ibm-quantum-system-two-17351.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/swiss-innovation-hub>)

Published: 2026-09-10T07:00:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Supercomputing](<https://devfeed.tech/topics/supercomputing.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [development](<https://devfeed.tech/tags/development.md>), [hub](<https://devfeed.tech/tags/hub.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [industry](<https://devfeed.tech/tags/industry.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [news](<https://devfeed.tech/tags/news.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-community](<https://devfeed.tech/tags/quantum-community.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-network](<https://devfeed.tech/tags/quantum-network.md>), [quantum-systems](<https://devfeed.tech/tags/quantum-systems.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>), [switzerland](<https://devfeed.tech/tags/switzerland.md>), [technology](<https://devfeed.tech/tags/technology.md>), [with](<https://devfeed.tech/tags/with.md>)

### AI overview

IBM and Lockheed Martin are launching a quantum innovation hub at ETH Zurich, anchored by Switzerland's first IBM Quantum System Two. Expected to be operational by the end of 2026 at the Swiss National Supercomputing Centre in Lugano, it will expand quantum computing access for Swiss universities, startups, companies, and researchers.

### Source excerpt

Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development.

## IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

DevFeed: [IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license](<https://devfeed.tech/articles/ibm-releases-sota-granite-time-series-patchtst-fm-r2-model-with-commercial-friendly-license-7266.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ibm-research/ibm-releases-sota-granite-time-series>)

Author: Roman Vaculin; Wesley M Gifford; Jiri Navratil; Chandra Reddy; Ayhan Sebin

Published: 2026-09-09T15:36:24Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Temporal data](<https://devfeed.tech/topics/temporal-data.md>), [releases](<https://devfeed.tech/topics/releases.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [inference](<https://devfeed.tech/tags/inference.md>), [model-architecture](<https://devfeed.tech/tags/model-architecture.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [releases](<https://devfeed.tech/tags/releases.md>), [time-series](<https://devfeed.tech/tags/time-series.md>), [zero-shot](<https://devfeed.tech/tags/zero-shot.md>)

### AI overview

IBM released Granite Time Series PatchTST-FM-r2, a roughly 385M-parameter time-series foundation model for zero-shot forecasting. The article covers its architecture, probabilistic forecasting, missing-value imputation, benchmark results, licensing, and available reproducibility resources.

### Source excerpt

Time-series foundation models are changing the way forecasting systems are built. Instead of training and maintaining a separate model for every dataset, users can use a pretrained model and generate forecasts zero-shot. IBM has released Granite Time Series PatchTST-FM-r2, the latest model in the Granite TSFM family (github, blog).

## Big Tech Laid Him Off. He Realized He Didn't Need a Job. -- Asian Dad Energy

DevFeed: [Big Tech Laid Him Off. He Realized He Didn't Need a Job. -- Asian Dad Energy](<https://devfeed.tech/articles/big-tech-laid-him-off-he-realized-he-didn-t-need-a-job-asian-dad-energy-38707.md>)

Original publisher: [Read original article](<https://dataengineeringcentral.substack.com/p/big-tech-laid-him-off-he-realized>)

Author: Daniel Beach

Published: 2026-09-09T14:07:55Z

Content type: opinion

Language: en

Sources: [Data Engineering Central](<https://devfeed.tech/sources/data-engineering-central.md>)

Topics: [Job](<https://devfeed.tech/topics/job.md>), [future of software](<https://devfeed.tech/topics/future-of-software.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [cobol](<https://devfeed.tech/topics/cobol.md>), [mainframes](<https://devfeed.tech/topics/mainframes.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [career](<https://devfeed.tech/tags/career.md>), [cobol](<https://devfeed.tech/tags/cobol.md>), [future-of-software](<https://devfeed.tech/tags/future-of-software.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [job](<https://devfeed.tech/tags/job.md>), [layoff](<https://devfeed.tech/tags/layoff.md>), [mainframes](<https://devfeed.tech/tags/mainframes.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [tech](<https://devfeed.tech/tags/tech.md>)

### AI overview

A Data Engineering Central Podcast episode features AsianDadEnergy discussing his career from BASIC, IBM 386 systems, and COBOL mainframes to consulting and a chief architect role in Big Tech, followed by a layoff. The conversation covers financial independence, AI's effects on software engineering, communication skills, identity beyond work, and content creation.

### Source excerpt

Data Engineering Central Podcast

## Java's age is its AI superpower

DevFeed: [Java's age is its AI superpower](<https://devfeed.tech/articles/java-s-age-is-its-ai-superpower-2221.md>)

Original publisher: [Read original article](<https://stackoverflow.blog/2026/09/09/java-s-age-is-its-ai-superpower/>)

Author: Ryan Donovan

Published: 2026-09-09T04:45:00Z

Content type: opinion

Language: en

Sources: [Stack Overflow Blog](<https://devfeed.tech/sources/stack-overflow-blog.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [buiilding-software](<https://devfeed.tech/tags/buiilding-software.md>), [coding](<https://devfeed.tech/tags/coding.md>), [data](<https://devfeed.tech/tags/data.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [history](<https://devfeed.tech/tags/history.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [java](<https://devfeed.tech/tags/java.md>), [podcast](<https://devfeed.tech/tags/podcast.md>), [se-stackoverflow](<https://devfeed.tech/tags/se-stackoverflow.md>), [se-tech](<https://devfeed.tech/tags/se-tech.md>), [sponsored](<https://devfeed.tech/tags/sponsored.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

A podcast episode argues that Java's longevity, training-data footprint, libraries, and agentic tooling make it a strong fit for coding agents.

### Source excerpt

Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java.

## Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists

DevFeed: [Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists](<https://devfeed.tech/articles/cleveland-clinic-riken-ibm-named-gordon-bell-finalists-17334.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/gordon-bell-finalists-2026>)

Published: 2026-09-09T04:00:00Z

Content type: news

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Supercomputing](<https://devfeed.tech/topics/supercomputing.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [automated](<https://devfeed.tech/tags/automated.md>), [chemistry](<https://devfeed.tech/tags/chemistry.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hpc](<https://devfeed.tech/tags/hpc.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [news](<https://devfeed.tech/tags/news.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-community](<https://devfeed.tech/tags/quantum-community.md>), [quantum-network](<https://devfeed.tech/tags/quantum-network.md>), [quantum-research](<https://devfeed.tech/tags/quantum-research.md>), [recognition](<https://devfeed.tech/tags/recognition.md>), [research](<https://devfeed.tech/tags/research.md>), [supercomputing](<https://devfeed.tech/tags/supercomputing.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

Cleveland Clinic, RIKEN, and IBM were named finalists for the 2026 ACM Gordon Bell Prize for quantum-HPC chemistry research. The collaboration simulated a 12,635-atom protein system and reported an automated workflow that reduces coordination and data movement across quantum and classical computing resources.

### Source excerpt

Finalist recognition for one of supercomputing's top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows.

## IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs

DevFeed: [IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs](<https://devfeed.tech/articles/how-llm-d-makes-the-most-of-the-hardware-you-already-have-17349.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/running-open-models-on-h100-gpus-with-llmd>)

Author: Peter Hess

Published: 2026-09-08T12:00:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [Inference](<https://devfeed.tech/topics/inference.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Self-hosted](<https://devfeed.tech/topics/self-hosted.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-for-code](<https://devfeed.tech/tags/ai-for-code.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hybrid-cloud](<https://devfeed.tech/tags/hybrid-cloud.md>), [hybrid-cloud-platform](<https://devfeed.tech/tags/hybrid-cloud-platform.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [news](<https://devfeed.tech/tags/news.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [scaling-ai](<https://devfeed.tech/tags/scaling-ai.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>)

### AI overview

IBM Research, Red Hat, and collaborators report a benchmark deployment of the llm-d open-source inference framework serving the open-weight GLM-5.2 model on 544 NVIDIA H100 GPUs. The reported workload reached more than 6.6 million output tokens per minute and up to 3,000 concurrent coding agents without preemptions.

### Source excerpt

IBM Research and Red Hat deployed a 753B open model on H100 GPUs, serving thousands of concurrent coding agents at 5-10x lower cost than commercial APIs.

## Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast

DevFeed: [Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast](<https://devfeed.tech/articles/panopto-alternatives-for-higher-education-comparing-kaltura-ibm-video-streaming-and-dacast-38027.md>)

Original publisher: [Read original article](<https://www.dacast.com/blog/streaming-solutions-for-broadcasting-online-university-course/>)

Author: Jon Whitehead

Published: 2026-09-04T11:55:41Z

Content type: comparison

Language: en

Sources: [DaCast](<https://devfeed.tech/sources/dacast.md>)

Topics: [Streaming](<https://devfeed.tech/topics/streaming.md>), [Security, Privacy and Abuse Prevention](<https://devfeed.tech/topics/security-privacy-and-abuse-prevention.md>), [Accessibility](<https://devfeed.tech/topics/accessibility.md>), [data](<https://devfeed.tech/topics/data.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Canvas](<https://devfeed.tech/topics/canvas.md>)

Tags: [accessibility-compliance](<https://devfeed.tech/tags/accessibility-compliance.md>), [comparison](<https://devfeed.tech/tags/comparison.md>), [data](<https://devfeed.tech/tags/data.md>), [data-privacy](<https://devfeed.tech/tags/data-privacy.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [the-video-experts-blog](<https://devfeed.tech/tags/the-video-experts-blog.md>), [video](<https://devfeed.tech/tags/video.md>)

### AI overview

This comparison guide evaluates Panopto alternatives for higher education, focusing on Kaltura, IBM Video Streaming, and Dacast. It explains that university buyers should consider LMS integration, student data privacy, accessibility compliance, procurement requirements, pricing, bandwidth, and support for public-facing content.

### Source excerpt

By Dacast Editorial Team | Reviewed by Jon Whitehead, COO at Dacast | Updated September 2026 Choosing a video streaming platform for a university isn't the same evaluation as picking one for a corporate training program or an individual course creator. University IT and AV teams have to weigh LMS integration, student data privacy, accessibility [...] The post Panopto Alternatives for Higher Education: Comparing Kaltura, IBM Video Streaming, and Dacast appeared first on Dacast.

## From MIT to IBM, expediting AI and quantum deployment

DevFeed: [From MIT to IBM, expediting AI and quantum deployment](<https://devfeed.tech/articles/from-mit-to-ibm-expediting-ai-and-quantum-deployment-37952.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/from-mit-to-ibm-expediting-ai-and-quantum-deployment-0902>)

Author: Lauren Hinkel | MIT-IBM Computing Research Lab

Published: 2026-09-02T20:25:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Computing](<https://devfeed.tech/topics/computing.md>), [LLMs](<https://devfeed.tech/topics/llms.md>)

Tags: [academic](<https://devfeed.tech/tags/academic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [alumni-ae](<https://devfeed.tech/tags/alumni-ae.md>), [aram-harrow](<https://devfeed.tech/tags/aram-harrow.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [atari-games](<https://devfeed.tech/tags/atari-games.md>), [careers](<https://devfeed.tech/tags/careers.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [computing](<https://devfeed.tech/tags/computing.md>), [data](<https://devfeed.tech/tags/data.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [fair-ai](<https://devfeed.tech/tags/fair-ai.md>), [graduate-postdoctoral](<https://devfeed.tech/tags/graduate-postdoctoral.md>), [graduate-students](<https://devfeed.tech/tags/graduate-students.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [industry](<https://devfeed.tech/tags/industry.md>), [irene-ko](<https://devfeed.tech/tags/irene-ko.md>), [isaac-chuang](<https://devfeed.tech/tags/isaac-chuang.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [learning](<https://devfeed.tech/tags/learning.md>), [luca-daniel](<https://devfeed.tech/tags/luca-daniel.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-ibm-computing-research-lab](<https://devfeed.tech/tags/mit-ibm-computing-research-lab.md>), [mit-ibm-watson-ai-lab](<https://devfeed.tech/tags/mit-ibm-watson-ai-lab.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [pulkit-agrawal](<https://devfeed.tech/tags/pulkit-agrawal.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-machine-learning](<https://devfeed.tech/tags/quantum-machine-learning.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [srinivasan-arunachalam](<https://devfeed.tech/tags/srinivasan-arunachalam.md>), [trustworthy-ai](<https://devfeed.tech/tags/trustworthy-ai.md>), [vllm-hook](<https://devfeed.tech/tags/vllm-hook.md>), [zhang-wei-hong](<https://devfeed.tech/tags/zhang-wei-hong.md>)

### AI overview

MIT graduate students and a former postdoc who moved to IBM describe how work with the MIT-IBM Computing Research Lab helped translate rigorous research into industry applications. Their areas include quantum machine learning, reinforcement learning, AI agents, and trustworthy and fair AI.

### Source excerpt

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.

## LTO Tape Shipments Up 57% in Q1 2026 as AI and Archive Demand Accelerate

DevFeed: [LTO Tape Shipments Up 57% in Q1 2026 as AI and Archive Demand Accelerate](<https://devfeed.tech/articles/lto-tape-shipments-up-57-in-q1-2026-as-ai-and-archive-demand-accelerate-12367.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/lto-tape-shipments-up-57-in-q1-2026-as-ai-and-archive-demand-accelerate>)

Author: Harold Fritts

Published: 2026-09-02T15:22:26Z

Content type: news

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [Disk image](<https://devfeed.tech/topics/disk-image.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [data](<https://devfeed.tech/tags/data.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [enterprise-storage](<https://devfeed.tech/tags/enterprise-storage.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [report](<https://devfeed.tech/tags/report.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [retention](<https://devfeed.tech/tags/retention.md>), [storage](<https://devfeed.tech/tags/storage.md>), [training](<https://devfeed.tech/tags/training.md>), [upgrade](<https://devfeed.tech/tags/upgrade.md>)

### AI overview

LTO tape capacity shipments rose 57% year over year in Q1 2026, driven by continued LTO-9 adoption, the rollout of LTO-10, and growing enterprise data and archival needs. The article explains how tape supports economical cold storage, long-term retention, AI training datasets, and data center power constraints.

### Source excerpt

The Linear Tape-Open (LTO) Program Technology Provider Companies, comprising Hewlett Packard Enterprise, IBM Corporation, and Quantum Corporation, have released their annual tape media shipment report. Following sustained enterprise data expansion, the report highlights a strong start to 2026, driven by continued LTO-9 adoption and the rollout and initial capacity ramp-up of LTO-10 media. According to The post LTO Tape Shipments Up 57% in Q1 2026 as AI and Archive Demand Accelerate appeared first on StorageReview.com.

## Legal Aspects of Accessibility

DevFeed: [Legal Aspects of Accessibility](<https://devfeed.tech/articles/legal-aspects-of-accessibility-9063.md>)

Original publisher: [Read original article](<https://ixdf.org/literature/article/legal-aspects-of-accessibility>)

Author: William Hudson

Published: 2026-09-02T00:00:00Z

Content type: article

Language: en

Sources: [UX Daily - User Experience Daily](<https://devfeed.tech/sources/ux-daily-user-experience-daily.md>)

Topics: [Accessibility](<https://devfeed.tech/topics/accessibility.md>), [User interface design](<https://devfeed.tech/topics/ui-design.md>)

Tags: [accessibility](<https://devfeed.tech/tags/accessibility.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [developers](<https://devfeed.tech/tags/developers.md>), [digital-accessibility](<https://devfeed.tech/tags/digital-accessibility.md>), [digital-products](<https://devfeed.tech/tags/digital-products.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [us](<https://devfeed.tech/tags/us.md>), [ux](<https://devfeed.tech/tags/ux.md>)

### AI overview

This lesson examines accessibility law, disability discrimination requirements, regional legislation, compliance obligations, and landmark legal cases affecting digital products and services. It explains that websites, intranets, and software must be accessible, and highlights the ADA, Section 508, European legislation, and the Sydney Olympics website case.

### Source excerpt

Understanding the legal requirements for accessibility is essential for anyone building digital products and services. Accessibility legislation exists worldwide, and failure to comply can result in costly lawsuits and reputational damage. This lesson explores the legal landscape, compliance standards, and practical implications for designers and developers.In the video, William Hudson, UX Strategist and Founder of Syntagm Ltd, explores the legal landscape of accessibility and disability discrimination.[[video:2240]]Disability Discrimination Laws WorldwideDisability discrimination legislation exists in virtually every country, though the specific laws and enforcement mechanisms vary by juris...

## IBM Quantum Nighthawk r2--more circuits, faster

DevFeed: [IBM Quantum Nighthawk r2--more circuits, faster](<https://devfeed.tech/articles/ibm-quantum-nighthawk-r2-more-circuits-faster-17343.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/nighthawk-r2>)

Published: 2026-08-31T14:30:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [ibm](<https://devfeed.tech/topics/ibm.md>), [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>)

Tags: [hardware](<https://devfeed.tech/tags/hardware.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [performance](<https://devfeed.tech/tags/performance.md>), [processor](<https://devfeed.tech/tags/processor.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-error-correction-mitigation](<https://devfeed.tech/tags/quantum-error-correction-mitigation.md>), [quantum-systems](<https://devfeed.tech/tags/quantum-systems.md>), [release](<https://devfeed.tech/tags/release.md>), [speed](<https://devfeed.tech/tags/speed.md>)

### AI overview

IBM Quantum Nighthawk r2 uses independent high-speed qubit reset to execute more than 100,000 circuits per second, providing up to 25 times the circuit throughput of IBM Quantum Heron. The 120-qubit processor also supports accurate results on circuits with more than 7,500 gates.

### Source excerpt

High-speed, independent qubit reset boosts circuit throughput 25x over Heron while enabling accurate observable estimation on circuits with 7,500+ gates.

## Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi

DevFeed: [Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi](<https://devfeed.tech/articles/hot-chips-2026-interviewing-ibm-s-christian-zoellin-christian-jacobi-13996.md>)

Original publisher: [Read original article](<https://chipsandcheese.com/p/hot-chips-2026-interviewing-ibms>)

Author: George Cozma

Published: 2026-08-30T17:31:05Z

Content type: article

Language: en

Sources: [Chips and Cheese](<https://devfeed.tech/sources/chips-and-cheese.md>)

Topics: [Arm](<https://devfeed.tech/topics/arm.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [arm](<https://devfeed.tech/tags/arm.md>), [core](<https://devfeed.tech/tags/core.md>), [decoding](<https://devfeed.tech/tags/decoding.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [interviewing](<https://devfeed.tech/tags/interviewing.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

An interview with IBM engineers at Hot Chips 2026 discusses the company's next-generation z/Architecture processor, which supports both the z/Architecture and Arm instruction sets. The conversation covers its shared decode pipeline, separate instruction decoders, and handling of differing endianness in the load-store unit.

### Source excerpt

Hello you fine Internet folks,

## Granite 4.2 LLMs: How They're Built

DevFeed: [Granite 4.2 LLMs: How They're Built](<https://devfeed.tech/articles/granite-4-2-llms-how-they-re-built-7257.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ibm-granite/granite-4-2>)

Author: Yousaf Shah; Swanand Kadhe; Riddhiman Moulick; Ashish Sunil Agrawal; Santosh Borse

Published: 2026-08-25T15:14:14Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [releases](<https://devfeed.tech/topics/releases.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [apache](<https://devfeed.tech/tags/apache.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [code](<https://devfeed.tech/tags/code.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [grouped-query-attention](<https://devfeed.tech/tags/grouped-query-attention.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [models](<https://devfeed.tech/tags/models.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [tool](<https://devfeed.tech/tags/tool.md>), [training](<https://devfeed.tech/tags/training.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

### AI overview

Granite 4.2 is a family of 3B, 8B, and 30B dense decoder-only reasoning language models. The article covers their training pipeline, thinking modes, native tool calling, and agentic reinforcement learning for the 8B and 30B models.

### Source excerpt

Authors: Granite Team, IBM TL;DR: Granite 4.2 is our first family of dense, decoder-only reasoning LLMs, released in three sizes: 3B, 8B, and 30B. These models are post-trained from Granite-4.1 base models. Granite-4.1 base models were pre-trained from scratch on roughly 15T tokens with a five-phase strategy that extends the context window to 512K tokens, supervised fine-tuned on chain-of-thought, reasoning, and agentic-trajectory data, then post-trained with a multi-stage reinforcement...

## Granite 4.2 brings native reasoning to enterprise agents

DevFeed: [Granite 4.2 brings native reasoning to enterprise agents](<https://devfeed.tech/articles/granite-4-2-brings-native-reasoning-to-enterprise-agents-17340.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/introducing-granite-4-2>)

Author: Mike Murphy; Kim Martineau

Published: 2026-08-25T15:00:00Z

Content type: release

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [ibm](<https://devfeed.tech/topics/ibm.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [apache](<https://devfeed.tech/tags/apache.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [release](<https://devfeed.tech/tags/release.md>), [terminal](<https://devfeed.tech/tags/terminal.md>)

### AI overview

IBM is releasing Granite 4.2 language models in 3B, 8B, and 30B sizes for enterprise agentic workflows. The models provide native reasoning, tool calling, instruction following, coding support, and deployment across cloud, on-premises, and edge environments. They are released under the Apache 2.0 license and trained with a multi-stage reinforcement learning process.

### Source excerpt

IBM's new open Granite models are designed for agentic AI, combining reasoning, tool use, coding, instruction following, and speech capabilities.

## IBM's new modular architecture for cryogenic systems

DevFeed: [IBM's new modular architecture for cryogenic systems](<https://devfeed.tech/articles/ibm-s-new-modular-architecture-for-cryogenic-systems-17341.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/modular-cryogenics>)

Published: 2026-08-19T10:00:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [news](<https://devfeed.tech/tags/news.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-systems](<https://devfeed.tech/tags/quantum-systems.md>)

### AI overview

IBM describes a modular cryogenic architecture for connecting quantum processors through quantum and classical links. The design is intended to improve scalability, reliability, upgradeability, and support for future multi-chip, fault-tolerant quantum systems.

### Source excerpt

Modular approach to housing and cooling quantum processors clears a path for interconnected, fault-tolerant systems.

## New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot

DevFeed: [New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot](<https://devfeed.tech/articles/new-in-confluent-intelligence-and-ai-tools-making-agents-native-to-the-stream-expanded-model-support-new-agent-skills-and-copilot-11547.md>)

Original publisher: [Read original article](<https://www.confluent.io/blog/2026-q3-confluent-intelligence-ai-update/>)

Author: Confluent Staff

Published: 2026-08-18T14:00:10Z

Content type: article

Language: en

Sources: [Confluent: Data in motion](<https://devfeed.tech/sources/confluent-data-in-motion.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [apache-flink](<https://devfeed.tech/topics/apache-flink.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [streaming-data-processing](<https://devfeed.tech/topics/streaming-data-processing.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [MCP](<https://devfeed.tech/topics/mcp.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Google](<https://devfeed.tech/topics/google.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-ready-data](<https://devfeed.tech/tags/ai-ready-data.md>), [ai-tools](<https://devfeed.tech/tags/ai-tools.md>), [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [confluent](<https://devfeed.tech/tags/confluent.md>), [confluent-cloud](<https://devfeed.tech/tags/confluent-cloud.md>), [google](<https://devfeed.tech/tags/google.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [skills](<https://devfeed.tech/tags/skills.md>), [streaming-data-processing](<https://devfeed.tech/tags/streaming-data-processing.md>), [support](<https://devfeed.tech/tags/support.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

Confluent announces updates to Confluent Intelligence and related AI tools for building production AI systems on Apache Kafka and Apache Flink. The release adds expanded time-series model support, a generally available Real-Time Context Engine, updates to the fully managed MCP Server, Agent Skills for AI coding assistants, and Confluent Copilot. The features are intended to provide agents and applications with fresh business context and governed access to live data and infrastructure.

### Source excerpt

Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot

## Nothing To See Here Yet

DevFeed: [Nothing To See Here Yet](<https://devfeed.tech/articles/nothing-to-see-here-yet-9451.md>)

Original publisher: [Read original article](<https://joncphillips.com/nothing-to-see-here-yet/>)

Author: Jon C. Phillips

Published: 2026-08-09T13:48:00Z

Content type: article

Language: en

Sources: [Jon C. Phillips](<https://devfeed.tech/sources/jon-c-phillips.md>)

Topics: [Software](<https://devfeed.tech/topics/software.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [data](<https://devfeed.tech/topics/data.md>), [ibm](<https://devfeed.tech/topics/ibm.md>)

Tags: [articles](<https://devfeed.tech/tags/articles.md>), [audience-building](<https://devfeed.tech/tags/audience-building.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [design](<https://devfeed.tech/tags/design.md>), [digital-products](<https://devfeed.tech/tags/digital-products.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [music](<https://devfeed.tech/tags/music.md>), [nothing-to-see-here-yet](<https://devfeed.tech/tags/nothing-to-see-here-yet.md>), [photography](<https://devfeed.tech/tags/photography.md>), [product-engineering](<https://devfeed.tech/tags/product-engineering.md>), [side-projects](<https://devfeed.tech/tags/side-projects.md>), [software](<https://devfeed.tech/tags/software.md>), [web-development](<https://devfeed.tech/tags/web-development.md>)

### AI overview

An experienced developer reflects on why products repeatedly ship poor empty states. The article argues that blank screens reduce confidence, hurt discoverability, and appear in many situations beyond a first login, including empty searches, filters, cleared task lists, and unused accounts. It calls for designing these states deliberately instead of focusing only on populated interfaces.

### Source excerpt

Every product has a moment before it has any data in it, and almost nobody designs for that moment on purpose. This is about why that screen keeps shipping broken, and what a good one should actually look like.

## The search for quantum advantage in differential equations

DevFeed: [The search for quantum advantage in differential equations](<https://devfeed.tech/articles/the-search-for-quantum-advantage-in-differential-equations-17336.md>)

Original publisher: [Read original article](<https://research.ibm.com/blog/hari-krovi-differential-equations>)

Author: Robert Davis

Published: 2026-08-03T13:00:00Z

Content type: article

Language: en

Sources: [IBM Research](<https://devfeed.tech/sources/ibm-research.md>)

Topics: [Quantum Computing](<https://devfeed.tech/topics/quantum-computing.md>), [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>), [Complex Systems](<https://devfeed.tech/topics/complex-systems.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [complex-systems](<https://devfeed.tech/tags/complex-systems.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [mathematical-sciences](<https://devfeed.tech/tags/mathematical-sciences.md>), [physics](<https://devfeed.tech/tags/physics.md>), [q-a](<https://devfeed.tech/tags/q-a.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-algorithms](<https://devfeed.tech/tags/quantum-algorithms.md>), [research](<https://devfeed.tech/tags/research.md>), [systems](<https://devfeed.tech/tags/systems.md>)

### AI overview

IBM researcher Hari Krovi discusses quantum algorithms for solving certain differential equations and their potential to scale beyond classical methods in selected applications.

### Source excerpt

New quantum algorithms could unlock faster ways to model the complex systems behind circuits, fluids, finance, and more.

## Open Models and Open Weights Are Foundational to Secure AI

DevFeed: [Open Models and Open Weights Are Foundational to Secure AI](<https://devfeed.tech/articles/open-models-and-open-weights-are-foundational-to-secure-ai-14500.md>)

Original publisher: [Read original article](<https://www.linuxfoundation.org/blog/open-models-and-open-weights-are-foundational-to-secure-ai>)

Author: andrewb@proximabiz.com (The Linux Foundation)

Published: 2026-07-27T13:24:44Z

Content type: opinion

Language: en

Sources: [Linux Foundation - Blog](<https://devfeed.tech/sources/linux-foundation-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Securing AI](<https://devfeed.tech/topics/securing-ai.md>), [AI research agents](<https://devfeed.tech/topics/ai-research-agents.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-ml](<https://devfeed.tech/tags/ai-ml.md>), [cisco](<https://devfeed.tech/tags/cisco.md>), [dell](<https://devfeed.tech/tags/dell.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [meta](<https://devfeed.tech/tags/meta.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [securing-ai](<https://devfeed.tech/tags/securing-ai.md>)

### AI overview

The Linux Foundation describes its participation in the Open Secure AI Alliance with NVIDIA and other members. The alliance promotes open tools for testing, tracing, auditing, and governing AI systems, and argues that open models and open weights can support safer, more transparent, and broadly accessible AI.

### Source excerpt

The Linux Foundation celebrates collaborative efforts to build and enhance the open tools and techniques that keep AI systems safe and secure.

[Next page](<https://devfeed.tech/tags/ibm.md?cursor=WyIyMDI2LTA3LTI3VDEzOjI0OjQ0KzAwOjAwIiwgIjZiMzFkOWFiLWE0N2MtNDU0NS05NzA5LTZlYjAxYTA3YWZjNyJd>)