# spatial

Published articles for spatial.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## MIT researchers develop a real-time spatiotemporal memory framework for robots

DevFeed: [MIT researchers develop a real-time spatiotemporal memory framework for robots](<https://devfeed.tech/articles/could-ai-tell-you-where-you-left-your-keys-37947.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/could-ai-tell-you-where-you-left-your-keys-0617>)

Author: Adam Zewe | MIT News

Published: 2026-06-17T04:00:00Z

Content type: news

Language: en

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

Topics: [Robotics](<https://devfeed.tech/topics/robotics.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Computer vision](<https://devfeed.tech/topics/computer-vision.md>)

Tags: [3d-scene-graphs](<https://devfeed.tech/tags/3d-scene-graphs.md>), [aeronautical-and-astronautical-engineering](<https://devfeed.tech/tags/aeronautical-and-astronautical-engineering.md>), [ai](<https://devfeed.tech/tags/ai.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [daaam](<https://devfeed.tech/tags/daaam.md>), [describe-anything-anywhere-at-any-moment](<https://devfeed.tech/tags/describe-anything-anywhere-at-any-moment.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [luca-carlone](<https://devfeed.tech/tags/luca-carlone.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [map](<https://devfeed.tech/tags/map.md>), [memory](<https://devfeed.tech/tags/memory.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [nicolas-gorlo](<https://devfeed.tech/tags/nicolas-gorlo.md>), [paper](<https://devfeed.tech/tags/paper.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [robot-memory](<https://devfeed.tech/tags/robot-memory.md>), [robotic-perception](<https://devfeed.tech/tags/robotic-perception.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [spatial](<https://devfeed.tech/tags/spatial.md>), [spatiotemporal-mapping](<https://devfeed.tech/tags/spatiotemporal-mapping.md>)

### AI overview

MIT researchers developed a long-term spatiotemporal memory framework that helps robots form and recall detailed models of large environments. The system combines map representations with language-based descriptions, answers environmental questions in plain language, and runs fast enough for real-time mobile-robot use.

### Source excerpt

A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.

## jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more

DevFeed: [jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more](<https://devfeed.tech/articles/jooq-3-20-released-with-clickhouse-databricks-and-much-more-duckdb-support-new-modules-oracle-type-hierarchies-more-spatial-support-decfloat-and-synonym-support-hidden-co-28953.md>)

Original publisher: [Read original article](<https://blog.jooq.org/jooq-3-20-released-with-clickhouse-databricks-and-much-more-duckdb-support-new-modules-oracle-type-hierarchies-more-spatial-support-decfloat-and-synonym-support-hidden-columns-scala-3-kotlin/>)

Author: lukaseder

Published: 2025-02-20T10:27:54Z

Content type: release

Language: en

Sources: [jOOQ](<https://devfeed.tech/sources/jooq.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [databricks](<https://devfeed.tech/topics/databricks.md>), [SQL](<https://devfeed.tech/topics/sql.md>), [DuckDB](<https://devfeed.tech/topics/duckdb.md>), [modules](<https://devfeed.tech/topics/modules.md>), [Oracle Database](<https://devfeed.tech/topics/oracle-database.md>), [Kotlin](<https://devfeed.tech/topics/kotlin.md>), [Scala](<https://devfeed.tech/topics/scala.md>), [reactive](<https://devfeed.tech/topics/reactive.md>), [jpa](<https://devfeed.tech/topics/jpa.md>)

Tags: [array](<https://devfeed.tech/tags/array.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [decfloat](<https://devfeed.tech/tags/decfloat.md>), [dirty-tracking](<https://devfeed.tech/tags/dirty-tracking.md>), [dml-join](<https://devfeed.tech/tags/dml-join.md>), [duckdb](<https://devfeed.tech/tags/duckdb.md>), [hidden-columns](<https://devfeed.tech/tags/hidden-columns.md>), [jdk-21](<https://devfeed.tech/tags/jdk-21.md>), [jooq](<https://devfeed.tech/tags/jooq.md>), [jooq-3-20](<https://devfeed.tech/tags/jooq-3-20.md>), [jooq-development](<https://devfeed.tech/tags/jooq-development.md>), [jpa](<https://devfeed.tech/tags/jpa.md>), [json](<https://devfeed.tech/tags/json.md>), [kotlin](<https://devfeed.tech/tags/kotlin.md>), [kotlin-2](<https://devfeed.tech/tags/kotlin-2.md>), [merge](<https://devfeed.tech/tags/merge.md>), [modules](<https://devfeed.tech/tags/modules.md>), [oracle](<https://devfeed.tech/tags/oracle.md>), [oracle-plsql-types](<https://devfeed.tech/tags/oracle-plsql-types.md>), [r2dbc](<https://devfeed.tech/tags/r2dbc.md>), [reactive](<https://devfeed.tech/tags/reactive.md>), [scala](<https://devfeed.tech/tags/scala.md>), [scala-3](<https://devfeed.tech/tags/scala-3.md>), [sequences](<https://devfeed.tech/tags/sequences.md>), [spatial](<https://devfeed.tech/tags/spatial.md>), [sql](<https://devfeed.tech/tags/sql.md>)

### AI overview

jOOQ 3.20 introduces experimental ClickHouse and Databricks SQL dialects, improves DuckDB support, adds new integration modules, and expands support for Oracle type hierarchies, spatial features, decfloat, synonyms, hidden columns, Scala 3, and Kotlin 2.

### Source excerpt

New dialects: jOOQ 3.20 ships with 2 new experimental dialects: ClickHouse is a fast-moving SQL dialect with a historic vendor-specific syntax that is gradually migrated to a more standards compliant alternative, which is why our support is still experimental. A lot of behaviours differ from what one would expect elsewhere, including NULL handling, which is ... Continue reading jOOQ 3.20 released with ClickHouse, Databricks, and much more DuckDB support, new modules, Oracle type hierarchies, more spatial support, decfloat and synonym support, hidden columns, Scala 3, Kotlin 2, and much more ->

## Hello Deep Learning: Reading handwritten digits

DevFeed: [Hello Deep Learning: Reading handwritten digits](<https://devfeed.tech/articles/hello-deep-learning-reading-handwritten-digits-36420.md>)

Original publisher: [Read original article](<https://berthub.eu/articles/posts/handwritten-digits-sgd-batches/>)

Published: 2023-03-30T10:00:04Z

Content type: tutorial

Language: en

Sources: [Bert Hubert's writings](<https://devfeed.tech/sources/bert-hubert-s-writings.md>)

Topics: [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [Image](<https://devfeed.tech/topics/image.md>)

Tags: [blog-posts](<https://devfeed.tech/tags/blog-posts.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [images](<https://devfeed.tech/tags/images.md>), [layer](<https://devfeed.tech/tags/layer.md>), [matrices](<https://devfeed.tech/tags/matrices.md>), [neural-network](<https://devfeed.tech/tags/neural-network.md>), [pixels](<https://devfeed.tech/tags/pixels.md>), [spatial](<https://devfeed.tech/tags/spatial.md>)

### AI overview

A tutorial in the Hello Deep Learning series explains how to build a neural network that recognizes all ten handwritten digits. It describes flattening 28x28 images, applying matrix multiplications and ReLU layers, and selecting the highest-scoring output.

### Source excerpt

This page is part of the Hello Deep Learning series of blog posts. You are very welcome to improve this page via GitHub! In the previous chapter we described how automatic differentiation of the result of neural networks works. In the first and second chapters we designed and trained a one-layer neural network that could distinguish images of the digit 3 and the digit 7, and the network did so very well.