LLM quietly powers faster, cheaper AI inference across major platforms — and now its creators have launched an $800 million ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Important everyday products—from plastics to detergents—are made through chemical reactions that mostly use precious metals such as platinum as catalysts. Scientists have been searching for more ...

The promise of the new agents is to solve the fragmentation problem that plagues finance departments. Unlike a sales leader ...

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...

In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

ChargeGuru’s Head of Engineering, Laurent Salomon, tells us how he used low-code tooling and an explicit ontology to build ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

Electronics, Semiconductors & Computer Engineering has emerged not merely as a new academic pathway, but as an essential direction that aligns with how modern technology is built, paving a new ...