Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Abstract: In this paper, we propose a biologically plausible computational working memory (WM) model implemented using a spiking neuron model representing a predictable WM mechanism in a single neuron ...

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

OpenAI has officially unveiled its highly anticipated GPT-5.6 model series, introducing three distinct tiers. However, the ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...

Google’s going to the movies, as it invested $75 million in the hot indie studio A24, along with a pledge to provide AI to ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Prestigious journal Nature has published a peer-reviewed critique of Microsoft's claims to have made quantum computing ...

You don't always need an RTX 5090 to run useful models ...