While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...

Moonshot AI, maker of Kimi, is valued near $4.8B after a $500M jump in weeks, as China’s AI market reprices amid surging ...

"It can be very emotional because your voice is such a big part of you, and no one wants it to sound like Stephen Hawking did ...

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...

Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The session highlights how InfluxDB 3 enables low-latency analytics and how MCP makes real-time data easier to explore. The talk will include a live demo where we will ask questions like “Is the ...

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 ...