HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

A wearable device pairs glucose-responsive insulin with algorithmic pump control, creating dual safety loops that reduced ...

Why next-generation avionics validation is becoming a value driver for aircraft leases. Avionics are the nervous system of ...

Researchers risk fire, explosion or poisoning by allowing AI to design experiments, warn scientists. Some 19 different AI ...

Microsoft alone runs approximately 100,000 A/B tests each year to continuously optimize products. A famous Gmail experiment, ...

Discover Nvidia's Alpamayo AI, a groundbreaking toolkit designed to enhance self-driving cars by enabling them to handle complex, unpredictable road scenarios with human-like reasoning. Learn how this ...

Healthcare AI is scaling faster than clinical safety. Without clinicians in the loop, companies face growing liability, ...

As organizations consider the synergy of digital twins and RTLS for factory optimization, having a clear understanding of ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Paul Sloane, a longtime authority on innovation and lateral thinking, examines how companies such as Airbnb, Booking.com, ...

Elon Musk’s brand shook the Australian car industry by bringing its Full Self Driving (Supervised) feature to Australian ...