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India stands at the threshold of a new era in technology. It can become the world leader in developing ethical AI by using ...
Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.
A fiber sensor inspired by the shape of DNA, developed by researchers at Shinshu University, introduces a new design for more ...
One longstanding problem has sidelined life-saving drugs, stalled next-generation batteries, and kept archaeologists from ...
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Interesting Engineering on MSN100-year-old crystal mystery cracked by US scientists; could unlock next-gen batteriesFor more than a century, scientists have relied on crystallography—analyzing X-ray diffraction patterns—to uncover ...
The world increasingly hums with artificial voices, yet Spynn's hybrid approach reminds us that the most potent stories still ...
A scientific revolution is underway as researchers push to bring atomic-level precision, once reserved for small molecule ...
Historically, the vast majority of pharmaceutical drugs have been meticulously designed down to the atomic level.
Secretary Driscoll told BI the changes coming to the Army are aligned with a focus on lethality, and anything not tied to ...
A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.
In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...
Read the new whitepaper from the Microsoft AI Red Team to better understand the taxonomy of failure mode in agentic AI.
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