MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
People have been seeking out health information online since the dawn of the internet. And now, tens of millions of people ...
Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an ...
"Given rapidly advancing capabilities, we expect the plausible robustness of rogue deployments to increase substantially in the coming months." The post Top AI Models Showing Disturbing Behavior as ...
Predictive analytics using IoT sensors and data analytics to monitor equipment condition in real time and predict potential ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
The companies that want to succeed with AI don't need the largest models or the fastest deployment cycles. They need to know ...
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 ...
Researchers at Baylor, BYU, Notre Dame, Yeshiva find vast gap between user expectations of religious representation and answers from ChatGPT ...
A researcher analyzing reams of data. A traveler translating a foreign language. A student writing an essay. There are many ...
Every vendor wants to leverage their platforms as the system of record, but success may depend on interoperability.
A new study gave five frontier AI models 1,000 real-world claims to fact-check. They disagreed on 67% of them.
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