Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
CarGurus, Inc. highlights AI-driven growth, 2025 revenue/EBITDA gains, dealer retention, and big buybacks—see forward ...
In 2026, Beamr plans to build the foundations of its long-term growth by further developing solutions for video data in AI systems - both for ...
Good morning, everyone, and welcome to Ferguson's Earnings Conference Call and Webcast. Today's call will also cover an update on our market opportunity and strategy. Hopefully, you had a chance to ...
In 2026, Beamr plans to build the foundations of its long-term growth by further developing solutions for video data in AI systems - both for human viewers and for machine vision Herzliya, Israel, Feb ...
After a blockbuster IPO and a sharp post-listing reality check, Meesho’s fast-scaling logistics arm faces its biggest test: ...
A flexible foam sensor built from silver selenide detects temperature and pressure simultaneously, enabling a robotic gripper ...
Web3 had plenty on its mind this week, including some interesting thoughts on tokenization and market speculation.
By Shawn Curran, CEO, Jylo. ‘Vibe coding lawyers’ have become the latest talking point in legal tech. And almost on cue, we’re seeing the usual defensive reaction: it won’t be safe, it won’t be ...
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...
MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
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