Both Kalshi and Polymarket, the two big prediction market platforms, were offering yes-or-no-style “mention markets” asking ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Abstract: This paper presents a model predictive control (MPC) with recursive feasibility guarantees for robots with LiDAR sensory measurements. Control barrier functions (CBF) are incorporated within ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Abstract: The potential of wave energy as a renewable energy source is significant, and therefore the development of accurate methods for predicting power output from Wave Energy Converters (WECs) is ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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