MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
AiOpti Recognized for Deterministic Measurement Linking Media Exposure to Real-World Outcomes The real reward is seeing ...
Photo of Richard Feynman, taken in 1984 in the woods of the Robert Treat Paine Estate in Waltham, MA, while he and the ...
One major benefit of HISA was a national system that aggregates racehorse veterinary records into a single, searchable ...
Ambarella is poised to benefit from edge AI demand as CV7 SoC and DevZone boost stickiness. Read why AMBA stock is a Strong ...
Ocient, the AI-driven, industry-specific solutions provider, today announced a more than doubling of its business supporting ...
Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.
Most cybersecurity failures do not originate from defective controls or absent tooling. They emerge from socio-technical systems that fail to model how humans make decisions under operational stress.