2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...
The ITU Journal on Future and Evolving Technologies continues its in-depth coverage of machine learning for 5G and future networks.
Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...
Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...
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 other than what they were trained on, raising questions about the need to ...
How Are Non-Human Identities Shaping Cloud Security? What does it take to bridge the gap between security and R&D teams when managing non-human identities in cloud environments? Non-human identities ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results