A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...
With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...
Organizations have been kicking the tire on AI for the past several years, but 2025 saw an explosion of AI-powered offerings ...
Echo, an Israeli startup, is announcing a $35 million in Series A funding today (bringing its to-date total to $50 million in ...
Here’s how an AI-powered trader earned $2.2 million on Polymarket using data models, automation and probability-based trading ...
UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How did programmers code the first ever code? What remnants of the early World ...
China-linked Evasive Panda used DNS poisoning to deliver the MgBot backdoor in targeted espionage attacks from 2022 to 2024.
The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...
Tech Xplore on MSN
Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
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