These early adopters suggest that the future of AI in the workplace may not be found in banning powerful tools, but in ...
The most significant advancement in Gemini 3.1 Pro lies in its performance on rigorous logic benchmarks. Most notably, the model achieved a verified score of 77.1% on ARC-AGI-2.
CX platforms process billions of interactions yearly — but no security tool monitors what their AI engines ingest. Six blind ...
A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...
These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...
LexisNexis' chief AI officer explains why standard RAG fails in high-stakes legal AI — and how graph RAG, planner agents, and ...
This is the problem Agentic Fabriq, founded by CEO Paulina Xu and CTO Matthew Xu, is working to solve. The company positions ...
The question now is whether this release triggers a response from competitors. Gemini 3 Pro's original launch last November set off a wave of model releases ...
Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...
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Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF
Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...
Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...
As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...
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