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.
New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...
The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...
Abstract: Modern NIC hardware with programmable capabilities (SmartNIC, SNIC) offers opportunities to offload high-performance distributed file systems (DFS) to the NIC for further acceleration.
GitHub games are open-source projects for testing gameplay ideas, sharing code, and collaborating publicly outside ...
The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...
Objective To assess whether post-authorisation studies registered with the European Medicines Agency (EMA) adhere to legislation and recommendations to publicly post study protocols and results.
A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...
Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
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