A new analytical tool can improve a hospital's ability to limit the spread of antibiotic-resistant infections over traditional methods like contact tracing, according to a new study led by researchers ...
2h
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...
Regtechtimes on MSN
The Hidden Variable in AI Success: Why Data Quality Trumps Model Size
The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...
They managed to cut the size of the AI reasoning model by more than half—and claim it can now answer politically sensitive ...
Tech Xplore on MSN
Teaching models to cope with messy medical data
Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...
Renewable energy firm PowerUQ advocates for the use of Uncertainty Quantification (UQ) in solar project analytics to combat the widespread issue of performance shortfalls. By incorporating a wider ...
Artificial Intelligence (AI) in cardiovascular research has emerged as a transformative force, revolutionizing data ...
Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global agriculture today is the need to increase food production to feed a ...
On 3, AI company Anthropic reported that its Threat Intelligence team had disrupted a state‑sponsored Chinese threat actor conducting ...
Hanwha Life said Wednesday it presented joint research with Stanford University’s Institute for Human-Centered AI on an ...
PCIe forward error correction; Verilog's NonBlocking Assignment; multi-die for automotive; mobile camera denoising; testing ...
A leaked technical review prepared for a group of First Nations claims British Columbia is greatly overestimating how much ...
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