Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...
The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...
Morning Overview on MSNOpinion
Top AI models are failing hard at solving fresh math problems
Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
Thomson Reuters Corp. is betting big on generative artificial intelligence, and it has the data foundation in place to do so. The global provider of professional information for the legal, accounting, ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...
AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets. AI is a paper ...
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