In the United States, 11% of adults over age 45 self-report some cognitive decline, which may impact their ability to care ...
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
As well as playing against themselves and fellow AI agents, the LLMs played against 2,000 experienced human players. They were evaluated based on how well they kept track of what was going on. For ...
Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.
Two Class 10 students from a Karnataka government school have been invited to Delhi for Republic Day celebrations after their ...
Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
KTSM El Paso on MSN
UTEP research seeks to make AI speech more natural
EL PASO, Texas (KTSM) — A speech study by a research team at UTEP has identified what is being called an “underappreciated” ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Displacement has started and won't stop. Urgent solutions might come from left field.
Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...
Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
Students from the University of Stuttgart placed fourth at the 2026 Autonomous Snowplow Competition in Minneapolis, United States, with their self-developed robot, Lynx. The result marks the highest ...
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