Databricks built a RAG agent it says can handle every kind of enterprise search

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

Airtable’s 500K Row Limit Is Not a Scalability Fix, It’s a Signal to Rethink Your Data Strategy

Airtable’s new 500,000-row limit is making headlines, but it is not a true scalability upgrade. It is a signal. A signal that many teams are...Read More The post Airtable’s 500K Row Limit Is Not a ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
CNX Software

PycoClaw – A MicroPython-based OpenClaw implementation for ESP32 and other microcontrollers

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw ...
TNO

Scientist Dynamic Energy System Modelling and Optimization | Rijswijk

You will be working in the Energy System Modelling team within the department Heat Transfer and Fluid Dynamics. This team focuses on modelling and optimization of energy assets and infrastructure ...
Techzine Europe

The RAMpocalypse is a warning for stricter performance KPIs

Explore how the "RAMpocalypse" and its accompanying rising hardware costs are forcing a return to software optimization.