Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...
General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.
Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.
Observability OR monitoring, open community work OR enterprise readiness, lexical OR semantic search- Bianca Lewis erases ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
With the advent of AI-mediated APIs, the era of manually hard-coding every integration between every microservice may be ...
AI agents are getting their own search engine ...
Defense News on MSN
The Pentagon's research infrastructure is ‘deteriorating,' study finds
Pentagon research has been hampered by backlogged security clearances, limited funds to build or refurbish labs and a slow ...
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