# NPU Published articles for NPU. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## CrowdStrike Accelerates Real-Time Data Classification with On-Device AI DevFeed: [CrowdStrike Accelerates Real-Time Data Classification with On-Device AI]() Original publisher: [Read original article]() Author: Lior Ribak Published: 2026-09-17T01:38:53.400452Z Content type: article Language: en Sources: [Blog]() Topics: [On-device AI](), [sensitive data](), [Language models](), [Endpoint security](), [Hardware](), [intel]() Tags: [data-security](), [endpoint-security](), [intel](), [language-models](), [npu](), [on-device-ai]() ### AI overview CrowdStrike and Intel introduced a Falcon Data Security capability that uses language models running on-device on dedicated AI hardware to classify sensitive data. The article explains that local inference is intended to avoid cloud latency and keep sensitive customer data on the endpoint while meeting real-time protection requirements. ### Source excerpt CrowdStrike worked closely with Intel to introduce a new capability in Falcon Data Security that classifies sensitive data using language models that run on-device using dedicated hardware for AI. Learn more! ## Intel Linux NPU Driver Only Now Officially Supports Ubuntu 26.04 LTS DevFeed: [Intel Linux NPU Driver Only Now Officially Supports Ubuntu 26.04 LTS]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-12T10:34:25Z Content type: news Language: en Sources: [Phoronix]() Topics: [intel](), [Ubuntu](), [Linux](), [Open Source]() Tags: [desktop-linux](), [github](), [intel](), [kernel](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [lts](), [npu](), [open-source](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [support](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview Intel Linux NPU Driver 1.38 officially adds support for Ubuntu 26.04 LTS. The release confirms testing on several Intel processor generations with Ubuntu's default Linux 7.0 kernel, while Ubuntu 24.04 LTS remains supported. No other changes are listed. ### Source excerpt Releasing on Friday was the Intel Linux NPU Driver 1.38 as the user-space open-source driver components for leveraging the Core Ultra Neural Processing Unit (NPU) under Linux in conjunction with the upstream IVPU kernel accelerator driver... ## Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications DevFeed: [Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-11T03:13:41Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Arm](), [cpu](), [Embedded Systems](), [Artificial Intelligence](), [Internet of things](), [Hardware](), [object-detection](), [Neural Network](), [Transformer]() Tags: [aiot](), [amlogic](), [arm](), [armv9](), [camera](), [computer-vision](), [cortex-a320](), [edge-ai](), [embedded](), [ethernet](), [h-264](), [hardware](), [iot](), [linux](), [llm](), [low-power](), [neural](), [npu](), [object-detection](), [processor](), [security](), [soc]() ### AI overview Amlogic has announced the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered edge AI and IoT devices. The preliminary specifications include video encoding and decoding, NPUs, image signal processing, camera interfaces, networking, USB, and low-power features. The article notes that full specifications, block diagrams, and software details are not yet available. ### Source excerpt Amlogic has unveiled the A123X quad-core and C305X2 dual-core Arm Cortex-A320 SoCs for industrial and battery-powered Edge AI and IoT applications such as robots, dashcams, IP cameras, video conferencing equipment, and so on. The Arm Cortex-A320 low-power Armv9 CPU core was introduced in February 2025, and Amlogic is the first silicon vendor to announce Cortex-A320 SoCs. Details are sparse, with no full specifications or block diagrams and limited software information, but let's see what we know so far. Amlogic A123X Amlogic A123X specifications: CPU - Quad-core Arm Cortex-A320 processor (Armv9.2-A, SVE2) GPU - None or not disclosed VPU H.264/H.265 encoding at 4K @ 60fps H.264/H.265 decoding at 4K @ 30fps AI 4 TOPS ADLA2 NPU for object detection and tracking CNN models 8 TOPS ADLA3 NPU supporting hardware-accelerated Transformer operations for ViT, LLM, etc. Neural network-based hardware SED engine for low-power audio event identification ISP - Low-light HDR ISP Supports [...] The post Amlogic A123X and C305X2 Arm Cortex-A320 SoCs target industrial and low-power AIoT applications appeared first on CNX Software - Embedded Systems News. ## Qualcomm Talks Next-Gen Oryon CPU, Adreno GPU, and Hexagon NPU DevFeed: [Qualcomm Talks Next-Gen Oryon CPU, Adreno GPU, and Hexagon NPU]() Original publisher: [Read original article]() Author: Vic A Published: 2026-09-10T13:05:36Z Content type: article Language: en Sources: [ServeTheHome]() Topics: [cpu](), [GPU](), [Artificial Intelligence](), [Cache]() Tags: [adreno](), [architecture](), [cache](), [cpu](), [gpu](), [hexagon](), [memory](), [mobile](), [npu](), [oryon](), [performance](), [qualcomm](), [unity](), [unreal-engine]() ### AI overview Qualcomm disclosed details of the next-generation mobile Snapdragon platform, including an Oryon CPU with 5 GHz Prime cores and FlexCache, an Adreno GPU with Matrix Cores and local high-performance memory, and a Hexagon NPU with transformer acceleration, expanded shared memory, and support for context lengths up to 32K. ### Source excerpt Qualcomm disclosed more on its next-gen Oryon CPU, Adreno GPU, and Hexagon NPU that will power next-gen devices The post Qualcomm Talks Next-Gen Oryon CPU, Adreno GPU, and Hexagon NPU appeared first on ServeTheHome. ## Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS DevFeed: [Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-03T13:46:18Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [Artificial Intelligence](), [cpu](), [SOC](), [GPU](), [RISC-V](), [SDK](), [Android](), [Linux]() Tags: [2025](), [4g-lte](), [amlogic](), [android](), [arm](), [boardcon](), [camera](), [compiler](), [cortex-a55](), [cortex-a78](), [cpu](), [development-board](), [development-tools](), [display](), [edge-ai](), [edge-computing](), [embedded](), [embedded-systems](), [hardware](), [linux](), [npu](), [opencl](), [risc-v](), [rs485](), [som](), [specifications](), [vulkan]() ### AI overview The article examines Boardcon's CM311Y3 system-on-module, which uses the Amlogic A311Y3 octa-core SoC with Cortex-A78 and Cortex-A55 CPUs, an 8 TOPS NPU, LPDDR5 memory, eMMC storage, and interfaces for embedded applications. It also describes the module's development board, software support, and key specifications. ### Source excerpt Boardcon CM311Y3 system-on-module (SoM) is powered by an Amlogic A311Y3 octa-core Cortex-A78/A55 SoC with an 8 TOPS NPU and targets 4K video surveillance systems, AI edge computing devices, interactive terminals, enterprise thin clients, and autonomous robots. The module comes with up to 16GB LPDDR5 and up to 256 GB eMMC flash, exposes 210 pins through castellated edges, and a development board is also provided for evaluation and early software development. We don't often see new SoMs or SBCs based on Amlogic SoCs these days, so let's have a closer look. Boardcon CM311Y3 System-on-Module CM311Y3 specifications: SoC - Amlogic A311Y3 CPU 2x ARM Cortex-A78 cores @ 2.4GHx 6x ARM Cortex-A55 cores @ 2.0GHz RISC-V core for system control processing RISC-V core for Always-on power management and Sensor Hub GPU - Arm Mali-G625 MC1 with support for OpenGL ES 3.2, Vulkan 1.4, and OpenCL 3.0 VPU Video Decoder - H.264 up to [...] The post Amlogic A311Y3 Cortex-A78/A55 Edge AI system-on-module delivers up to 8 TOPS appeared first on CNX Software - Embedded Systems News. ## Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications DevFeed: [Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-01T14:24:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [cpu](), [Arm](), [RISC-V](), [GPU]() Tags: [4g-lte](), [android](), [artificial-intelligence-ai](), [camera](), [cortex-a55](), [cortex-a78](), [dsp](), [embedded](), [embedded-systems](), [hardware](), [hexagon](), [industrial](), [iot](), [linux](), [npu](), [processor](), [products](), [qualcomm](), [qualcomm-dragonwing](), [risc-v](), [ubuntu](), [wifi-5](), [yocto](), [zephyr](), [zephyr-os]() ### AI overview Qualcomm announced the Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for consumer, commercial, and industrial AIoT applications. The Q-2390 targets devices such as retail and smart home products, while the IQ-2390 targets industrial automation, machine vision, building management, and energy systems. The processors include optional RISC-V real-time cores, Adreno graphics, Hexagon processing, camera and display interfaces, networking, and support for Android, Yocto Linux, Ubuntu, and Zephyr RTOS. ### Source excerpt Qualcomm has announced the Qualcomm Dragonwing Q-2390 and IQ-2390 quad-core Cortex-A78/A55 processors for AIoT consumer, commercial and industrial applications. The Dragonwing Q-2390 processor is designed for commercial and consumer devices, notably for applications such as retail and smart home products, as well as smart displays and enterprise edge devices, while the Dragonwing IQ-2390 processor is the SKU from the Dragonwing IQ2 Series designed for industrial automation, machine vision, building management and energy systems. Qualcomm IQ-2390 and Q-2390 specifications: CPU 1x Arm Cortex-A78 core up to 1.5 or 1.9 GHz depending on SKU 3x Arm Cortex-A55 cores up to 1.5 or 1.9 GHz depending on SKU Optional SiFive E61 RISC-V real-time core up to 600MHz with 768kB memory Cache - 512 KB L3 cache GPU - Qualcomm Adreno 704 up to 1.1 GHz Audio DSP - Qualcomm Hexagon V66 up to 1.1 GHz NPU - Qualcomm Hexagon up to 1.1 TOPS DPU [...] The post Qualcomm introduces Dragonwing Q-2390 and IQ-2390 for consumer and industrial AIoT applications appeared first on CNX Software - Embedded Systems News. ## ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5 DevFeed: [ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-01T06:41:00Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [SOC](), [cpu](), [GPU](), [RISC-V](), [real-time](), [Artificial Intelligence](), [wifi 6](), [Linux](), [Android]() Tags: [allwinner](), [allwinner-a-series](), [android](), [android-13](), [armbian](), [banana-pi](), [bluetooth](), [core](), [cortex-a55](), [cpu](), [debian](), [embedded-systems](), [gigabit-ethernet](), [gpu](), [hardware](), [hdmi](), [linux](), [npu](), [real-time](), [risc-v](), [single-board-computer](), [usb](), [wifi-6]() ### AI overview The ArmSoM Sige6 is a credit-card-sized single-board computer based on the Allwinner A733-HN3 SoC. It offers up to 16GB of LPDDR5 memory and 128GB of soldered eMMC storage, along with PCIe, Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.4, display and camera interfaces, USB ports, and a 40-pin expansion header. ### Source excerpt ArmSoM Sige6 is yet another SBC powered by the Allwinner A733 octa-core SoC, offered in a credit card form factor with up to 128GB soldered-on eMMC flash and up to 16GB LPDDR5. The single board computer features a microSD card slot and an M.2 M-key PCIe 3.0 x2 slot for storage, Gigabit Ethernet (with optional PoE), WiFi 6, and Bluetooth 5.4 connectivity, HDMI 2.0 and MIPI DSI display interfaces, a MIPI CSI camera interface, USB 3.0/2.0 ports, a 3.5mm audio jack, a 40-pin GPIO header, and more. ArmSom Sige6 specifications: SoC - Allwinner A733-HN3 CPU Dual-core Arm Cortex-A76 @ up to 2.00 GHz Hexa-core Arm Cortex-A55 @ up to 1.80 GHz Single-core RISC-V E902 real-time core GPU - Imagination Technologies BXM-4-64 MC1 GPU with support for OpenGL ES 3.2, Vulkan 1.3, and OpenCL 3.0 VPU 4Kp60/8Kp24 H.265/VP9/AVS2 decoding, 4Kp30 H.264 decoding 4Kp30 H.265/H.264 encoding AI accelerator - 3 TOPS NPU Process [...] The post ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5 appeared first on CNX Software - Embedded Systems News. ## Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up DevFeed: [Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-08-31T07:13:46Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [SOC](), [Arm](), [cpu](), [wifi 6](), [GPU](), [Bluetooth](), [RISC-V](), [hdmi](), [USB](), [Ethernet](), [OpenGL]() Tags: [allwinner](), [allwinner-a-series](), [android](), [arm](), [armbian](), [bluetooth](), [cortex-a55](), [cpu](), [debian](), [embedded-systems](), [gigabit-ethernet](), [gpu](), [h-264](), [hardware](), [hdmi](), [linux](), [npu](), [opencl](), [orange-pi](), [pcie](), [single-board-computer](), [specifications](), [ubuntu](), [usb](), [vp9](), [vulkan](), [wifi-6]() ### AI overview The Orange Pi Zero 4 is a compact single-board computer based on the Allwinner A733, with up to 8GB of memory, eMMC or UFS storage support, mini HDMI, USB-C DisplayPort, Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.4, camera interfaces, GPIO, and a PCIe FFC connector. The article lists its specifications, planned operating-system images, and expected Armbian support. ### Source excerpt Orange Pi Zero 4 is an affordable yet feature-rich Allwinner A733 single board computer (SBC) with up to 8GB RAM, eMMC/UFS storage footprint, a microSD card slot, and plenty of I/Os. The board packs mini HDMI and USB-C DisplayPort, Gigabit Ethernet, WiFi 6 and Bluetooth 5.4, two MIPI CSI camera connectors, a Raspberry Pi-style PCIe FFC connector, and two GPIO headers into a compact 55x50mm form factor. Orange Pi Zero 4 specifications: SoC - Allwinner A733 CPU Dual-core Arm Cortex-A76 @ up to 2.00 GHz Hexa-core Arm Cortex-A55 @ up to 1.79 GHz Single-core RISC-V E902 real-time core up to 200 MHz GPU - Imagination Technologies BXM-4-64 MC1 GPU with support for OpenGL ES 3.2, Vulkan 1.3, OpenCL 3.0 VPU 8Kp24 H.265/VP9/AVS2 decoding 4Kp30 H.265/H.264 encoding AI accelerator - 3 TOPS NPU System Memory - 1GB, 2GB, 4GB, 6GB, or 8GB LPDDR5/LPDDR4/LPDDR4x; note: 16GB is also listed in the specs, [...] The post Orange Pi Zero 4 - Compact Allwinner A733 SBC offers HDMI, USB-C DP, GbE, WiFI 6, PCIe FFC connector for $26.5 and up appeared first on CNX Software - Embedded Systems News. ## I'm excited for Intel after testing the XPS 13 DevFeed: [I'm excited for Intel after testing the XPS 13]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-08-07T14:00:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [intel](), [Benchmark](), [cpu](), [Hardware](), [Linux]() Tags: [apple](), [arm](), [benchmarks](), [cpu](), [dell](), [efficiency](), [ethernet](), [gpu](), [hardware](), [intel](), [laptop](), [linux](), [low-power](), [macbook-neo](), [npu](), [review](), [wifi-7](), [wildcat-lake](), [windows](), [windows-11](), [x86](), [xps](), [youtube]() ### AI overview The article reviews Dell's low-end XPS 13 against Apple's MacBook Neo and highlights the Intel Core 5 320 processor. It reports that the Wildcat Lake chip ranked second in the author's HPL FP64 efficiency benchmark, behind the M4 Mac mini, making it the strongest x86 result described in the supplied text. ### Source excerpt Shortly after Apple launched the budget MacBook Neo, Dell announced their response, a new low-end XPS 13. Matching the Neo's current pricing, it starts at $699, or $599 with an educational discount. That discount is currently set to expire on November 2, and with the current component pricing insanity, I'd be surprised if we don't see a price increase on both laptops by next year. I ran the XPS 13 through my gauntlet of benchmarks, and published a review on my YouTube channel: ## What's new in TensorFlow 2.20 DevFeed: [What's new in TensorFlow 2.20]() Original publisher: [Read original article]() Author: TensorFlow Blog (noreply@blogger.com) Published: 2025-08-19T16:00:00Z Content type: news Language: en Sources: [The TensorFlow Blog]() Topics: [LiteRT](), [On-device AI](), [Inference](), [Latency](), [IO](), [GPU](), [data](), [Google](), [Cloud](), [Python](), [C++](), [Kotlin]() Tags: [announcement](), [c-plus-plus](), [data](), [google](), [gpu](), [inference](), [io](), [kotlin](), [latency](), [litert](), [npu](), [on-device](), [python](), [tensorflow](), [tensorflow-core](), [tensorflow-lite]() ### AI overview TensorFlow 2.20 introduces the independent LiteRT repository as the future home for on-device inference, replacing the deprecated tf.lite module. LiteRT adds Kotlin and C++ APIs, improves NPU and GPU acceleration, and supports lower-latency inference with fewer memory copies. The release also adds tf.data input-pipeline warm-up controls and makes Google Cloud Storage support optional. ### Source excerpt Posted by the TensorFlow team TensorFlow 2.20 has been released! For ongoing updates related to the multi-backend Keras, please note that all news and releases, starting with Keras 3.0, are now published directly on keras.io. You can find a complete list of all changes in the full release notes on GitHub. tf.lite is being replaced by LiteRT The tf.lite module will be deprecated with development for on-device inference moving to a new, independent repository: LiteRT. The new APIs are available in Kotlin and C++. This code base will decouple from the TensorFlow repository and tf.lite will be removed from future TensorFlow Python packages, so we encourage migration of projects to LiteRT to receive the latest updates. More details to follow. As announced at Google I/O '25, LiteRT improves upon TFLite, particularly for NPU and GPU hardware acceleration and performance for on-device ML and AI applications. LiteRT provides a unified interface for Neural Processing Units (NPUs), removing the need to navigate vendor-specific compilers or libraries. This approach avoids many device-specific complications, boosts performance for real-time and large-model inference, and minimizes memory copies through zero-copy hardware buffer usage. For more information on the new repository and to sign up for the NPU Early Access Program, please reach out to the team at g.co/ai/LiteRT-NPU-EAP. Faster input pipeline warm-up with tf.data To help reduce latency, especially the time it takes for your model to process the first element of a dataset, we've added autotune.min_parallelism in tf.data.Options. This new option allows asynchronous dataset operations like .map and .batch to immediately start with a specified minimum level of parallelism, speeding up the initial warm-up time for your input pipelines. Changes to I/O GCS filesystem package The tensorflow-io-gcs-filesystem package for Google Cloud Storage support is now optional. Previously, it was installed, by default, with TensorFlow. If y ## PINE64 April 2025 Community Update: PineTab-V availability and device updates DevFeed: [PINE64 April 2025 Community Update: PineTab-V availability and device updates]() Original publisher: [Read original article]() Published: 2025-04-13T00:00:00Z Content type: article Language: en Sources: [Community blog on PINE64]() Topics: [Pinetab2](), [Debian](), [FOSDEM](), [GPU](), [Hardware](), [Pinenote](), [Android]() Tags: [android](), [cameras](), [debian](), [deepseek](), [firefox](), [firmware](), [fosdem](), [gpu](), [hardware](), [llm](), [npu](), [pinecil](), [pinenote](), [pinetab-v](), [pinetab2](), [pinetime](), [soc](), [update](), [wifi]() ### AI overview PINE64's April 2025 community update covers improvements to the PineTab2, PineTime, and PineNote; the PineTab-V's return to the store with a Debian and GNOME factory image; and the upcoming StarPro64 SBC, which includes an Eswin EIC7700 SoC, 32GB of LPDDR5 memory, and a 20 TOPS NPU. ### Source excerpt Hello and happy April! The past few months have been relatively quiet on the surface, but there is a lot going on behind the scenes. During the past three months we have seen some improvements for the PineTab2, PineTime and PineNote, along with the announcement that the PineTab-V is back in store and the new micro soldering tip set for the Pinecil. Charlie the Pinecorn also makes his yearly appearance in the update banner, artwork made by Caffeine. We have been very happy with the feedback after the launch of the PineNote Community Edition. Users coming from the developer edition with Android have been able to successfully move to the new Debian firmware without any major issues (thanks Maximilian, Diederik and hrdl!). We'd also like to apologize as we had most of this written up around late February early March and things got busy. Thanks for waiting patiently! We're making sure to focus on getting the word out than increasing the word count from now on. Table of contents FOSDEM 2025 PineTab-V StarPro64 PineTab2 PineNote Kernel improvements Demos PineTime Pinecil Community content PineNote Want to contribute to the next community update? FOSDEM 2025 Author: Caffeine Thank you to everyone who came past the pop-up meet-up at FOSDEM, it was fantastic to see everyone and be able to say hello. As mentioned in the previous update we weren't allocated a table this year, but we managed to meet with community members at Bar Campouce. We hope to get a table for next years event. PineTab-V Author: Caffeine We are happy to announce that the PineTab-V is back in the store! Last year we reported that the PineTab-V would be going on sale in October, unfortunately this did not happen due to there being no default OS to send to the factory. Thanks to our friends over at StarFive, they have kindly built a working image to send to the factory (thank you!). The image is based on Debian with a Gnome desktop. Much of the hardware is working including the cameras, WiFi and GPU accelerati ## AI-First устройства пока не стали заменой смартфонам DevFeed: [AI-First устройства пока не стали заменой смартфонам]() Original publisher: [Read original article]() Author: redmadrobot (red\_mad\_robot) Published: 2024-12-25T12:00:17Z Content type: opinion Language: ru Sources: [Redmadrobot EN](), [Redmadrobot RU]() Topics: [Artificial Intelligence](), [Android](), [TypeScript]() Tags: [ai](), [ai-e2239b5ae8fa](), [android](), [npu](), [tag-258f045bd37f](), [tag-53d931f324ab](), [tag-61cd5a476b1d](), [tag-86b843454893](), [tag-906c519cd8f0](), [tag-d14eb265d33e](), [typescript]() ### AI overview This Russian-language review examines AI-First devices introduced as potential personal assistants and smartphone replacements, focusing on Rabbit r1 and Humane AI Pin. It reports criticism of their reliability, usability, battery life, and ability to replace smartphones, while noting that Rabbit remained commercially active according to the cited claims. ### Source excerpt Обзор от аналитического центра red_mad_robot, как компании массово ищут новый формат устройств будущего. В 2024 году на рынке появились AI-First девайсы, чтобы стать персональными помощниками пользователей, облегчить жизнь и заменить смартфоны. Но в результате каждый знаковый проект был обречён на провал. Читать далее