Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.
Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 7:05 PM ESTCompany ParticipantsSridhar Ramaswamy - ...
Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...
An old book about an even older operating system.
From record-setting adventurers to diasporic filmmakers and chefs, these are the women defining the way we see—and ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...
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.
Red Hat's Ansible automation platform evolves for agentic AI with ephemeral MCP servers, expanded Lightspeed AI capabilities, and workflow tools.
MPC Paris delivered 575 shots on Cold Storage, from invisible fixes to slime, creatures and a nuclear finale. But how?