Negative aspects of the AI boom are now coming to light, whether in handling copyrights, bias, ethics, privacy, security, or ...

Sakana found that self-adaptive models can modify their weights during inference to adjust behavior to new and unseen tasks.

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

For students mapping out their futures, the advent of agentic AI presents both a challenge and an opportunity.

In an interview with Google Cloud Japan and translated by Automaton Media, Capcom technical director Kazuki Abe explains how ...

A string of startups are racing to build models that can produce better and better software. They claim it’s the shortest ...

Teachers are responding to the fear of students cheating with AI by getting rid of take-home essays and emphasizing day-to-day discussions, student presentations and tests. This performance-based ...

If you’re considering what it takes to build an AI agent, we have a step-by-step guide to help you along the way. Learn more.

Maybe they should have called it DeepFake, or DeepState, or better still Deep Selloff. Or maybe the other obvious deep thing ...