For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A Paw It Forward Collaboration Helping New Pet Parents & Pets Waiting for Their Families This partnership turns everyday training into life-saving impact. Families are not just helping their own pet ...

Worried about AI that always agrees? Learn why models do this, plus prompts for counterarguments and sources to get more accurate help.

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

AI’s performance is often dubious, and to use it for safety-critical applications without continuous monitoring and iterative ...

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

Elon Musk’s AI chatbot, Grok, has been flooded with sexual images of mainly women, many of them real people. Users have ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...

DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...