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Centre's 2026 roadmap to fight cybercrime; 2,500 LEA staff trained
The Centre has prepared a 2026 roadmap to combat cybercrime, training nearly 2,500 LEA personnel pan-India in the latest ...
A team of scientists at the Connecticut Forensic Science Laboratory in Meriden worked around the clock to examine evidence ...
Forty years ago I forecast that the impact of machine learning would be that book-learning and logical reasoning would lose status just as literacy did when everyone could read and write. Two years ...
“This is the era of Artificial Intelligence. AI can be used for good governance and a taskforce has been formed for the same.
Deepfakes, synthetic media, and automated impersonation tools are increasingly used to manipulate individuals, organizations, ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.
Licking Heights High School students are gaining hands-on forensic science experience through the Amgen Biotech Experience. The program, funded by the Amgen Foundation and hosted locally by Columbus ...
TUPELO – When the Tupelo Police Department needs to discover what information is on a cell phone, tablet, computer or a USB flash drive, they don’t have to go far or wait too long. Although the ...
The ever-growing use of technology in society makes it clear that computer programming may be a valuable skill. But how do our brains learn to code? Cultural skills, like reading and math, typically ...
A prominent computer science professor at one of the world’s most prestigious universities says his graduates are struggling to find work — a far cry from just four years ago when they had their pick ...
Abstract: The rise of fileless and polymorphic malware presents significant challenges for traditional detection methods, as these sophisticated threats operate exclusively in memory or continuously ...
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