An earthquake typically sets off ruptures that ripple out from its underground origins. But on rare occasions, seismologists have observed quakes that reverse course, further shaking up areas that ...
In an interview at the India AI Impact Summit 2026, Qualcomm’s Durga Malladi explained why the industry must shift toward Physical AI and hybrid inference.
Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and deep learning.| India News ...
Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Solid Data Inc. is trying to help enterprises get around the problem of error-prone artificial intelligence agents after ...
In a new study, University of Rhode Island Ph.D. graduate Kyle McElroy and Marine Affairs Professor Austin Becker explore the role of data and biases, as well as the challenges and decision-making ...
In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...
Vantor partners with Google AI to automate intelligence reports for government agencies Vantor to deploy Google Earth AI inside classified networks ...
Putting humans and LLMs head-to-head in classic tests of judgment from human psychology underscores the differences between ...
Humans develop sharp vision during early fetal development thanks to an interplay between a vitamin A derivative and thyroid hormones in the retina, Johns Hopkins University scientists have found.
India’s AI ecosystem has been on a steady growth in the last few years. Both public initiatives and private startups are working in this stream. From the early days of experimentation and scattered ...
Unlike most competing products that rely heavily on English-first AI stacks, Sarvam says Kaze runs on its own foundational models trained on Indian languages and datasets. The sta ...
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