Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.
Ching-Yao Lai, an assistant professor of geophysics at Stanford University, works to advance scientific understanding of ice ...
Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.
A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...
Recent findings from research we have been carrying out at the Large Hadron Collider (LHC) at Cern in Geneva suggest that we ...
Old-school Excel functions like SUMPRODUCT, INDEX/MATCH, and IFERROR remain essential for stable, readable, and maintainable ...
Climate change has been driving the rise of extreme weather conditions in recent years, placing immense strain on urban ...
It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...
A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...
The Cool Down on MSN
Apple research: AI models can't do grade school math, 'do not understand what subtraction means'
"AI is not thinking about any of it." ...
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