Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...

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.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 7:05 PM ESTCompany ParticipantsSridhar Ramaswamy - ...

The EU general data protection regulation (GDPR) is the strongest privacy and security law in the world. This regulation updated and modernised the principles of the 1995 data protection directive. It ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

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 ...

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...

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 ...