Using AI to Map Environmental Risks Through machine learning and data visualization tools, a team of researchers in the College of Engineering and Computing Sciences has identified ways to help cities adapt to the growing risks of climate change.
AI Research – New York Institute of Technology Read More »
1. Solve Problems Instead of Deploying New Tools for Their Own Sake Organizations may feel pressured to try something just because of hype. You should resist the urge. Instead, be clear about a problem that needs to be solved and how AI would fit in. There may be some easy deployments to start with through
Lessons Learned From CDW’s AI Research Report Read More »
The US, UK, and EU are still in the AI race, but cracks are showing. China leads in output, patents, and talent, while the West leans on global ties. AI has become a matter of national interest for governments worldwide, with some treating the technology as if it were like energy or defence. While China
The West tries to keep up with China in the AI research race Read More »
Artificial intelligence has transformed fields like medicine and finance, but it hasn’t gained much traction in manufacturing. Factories present a different challenge for AI: They are structured, fast-paced environments that rely on precision and critical timing. Success requires more than powerful algorithms; it demands deep, real-time understanding of complex systems, equipment and workflow. A new
New AI model could revolutionize U.S manufacturing – National Science Foundation (.gov) Read More »
The U.S. National Science Foundation has teamed up with Voltage Park for the National Artificial Intelligence Research Resource, or NAIRR, pilot, an effort that seeks to provide educators and researchers better access to tools for AI research. Under the partnership, Voltage Park will be donating cloud computing resources worth one million hours of use on
As artificial intelligence (AI) continues to transform pharmaceutical and medical device innovation, legal questions may emerge around its role in preclinical and regulatory research. The statutory safe harbor under 35 U.S.C. § 271(e)(1) has long shielded pharmaceutical and medical device developers from patent infringement liability when using patented inventions for activities reasonably related to the
Imagine if when a soon-to-be mother arrived at a hospital in labor, her health care team could predetermine what challenges she might encounter with breastfeeding and develop a game plan to address any lactation complications, before she even gave birth. Clinicians and engineers at theUniversity of Florida College of Medicinehave developed artificial intelligence models that
New AI model aims to increase lactation, breastfeeding rates in NICU Read More »
A new algorithm could help researchers better predict how molecules bind to proteins —an essential step in designing more effective drugs to treat a wide range of diseases. Bruce Donald, PhD, James B. Duke Distinguished Professor of Computer Science and professor of biochemistry, and Yuxi (Jaden) Long, a former undergraduate in the Donald Lab and
New AI Model Makes Drug Discovery Faster, Smarter, and More Transparent Read More »
AI has made remarkable progress in recent years, but turning experimental models into tools that work in the real world is still a major challenge. Bridging this gap between innovation and application has shaped the career of Xinxing Xu, principal researcher at Microsoft Research Asia – Singapore (opens in new tab), and underpins the mission
Xinxing Xu bridges research and real-world impact in the Singapore lab Read More »
