Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

Artificial intelligence can feel like an abstract concept—something that happens inside massive data centers or behind the scenes of popular ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

AI "model collapse," where LLMs over time train on more and more AI-generated data and become degraded, can introduce a host ...

Today, let's take a closer look at incident response playbooks: how to build one, tailor it for secret leaks, take actions, ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

Robots have long excelled at repetitive factory work welding, picking, placing, and packaging yet they’ve struggled with the ...

Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driven spectral ...

Raft's AI Mission System empowers CENTCOM operators with on-demand computer vision tailored to real-world missions – broad-area satellite search, distributed maritime monitoring, and counter-UxS ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.