Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...
BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...
AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...
A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...