The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to ...
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