Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...
WENZHOU CITY, ZHEJIANG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- The global packaging industry continues ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...
Academics look at problematic algorithm to inform regulatory discussion A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...