Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...
Meta is rolling out a dedicated shopping research mode inside its Meta AI web chatbot for a slice of US desktop users. Search ...
A couple of years ago, a company called Cortical Labs released a video that showed a simplified version of Pong being played by a culture of human neurons in a Petri dish. The idea that a bunch of ...
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 ...
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.
If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask online critics, corporations could assemble customer profiles for ...
OpenAI's latest ChatGPT update targets tone and accuracy, aiming to make everyday AI conversations smoother and more useful.
New ORCA results show Gemini leading in practical math, but no AI matches the consistency of a simple calculator.
In a French criminal trial, conventional DNA analysis couldn’t distinguish between twin brothers, but emerging scientific methods could help in such cases.
This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
This study presents valuable findings implicating nuclear export in the regulation of protein condensate behaviour and TDP-43 phase behaviour, suggesting a link to pathogenic aggregation in ALS/FTD.
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