Last week, DeepSeek unveiled its latest research, DeepSeek-V3.2-Exp. On its corporate blog, the company claims the new model can cut the cost of making predictions, known as inference, by 75%, from $1 ...
Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...
What happens when AI tools shape how conflicts are understood? When answers shift by user? This is model drift, and it’s a ...
One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...
Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
Ask California women's coach Charmin Smith about her team's first run of cross-country travel for Atlantic Coast Conference ...
In the case of industrial control systems (ICS) and other operational technology (OT) systems used in critical infrastructure ...
Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
When, in the 1990s, Emily Lengen chose a career working with babies and toddlers with disabilities, it felt like a chance to ...
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