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Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
AI cybersecurity threats in 2025 are faster, smarter, and harder to detect. From deepfakes to data leaks, find out what ...
Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...
A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
As AI continues to permeate nearly every industry, it is reshaping not only how businesses operate but also what is expected ...
But there’s a wide gulf between the math used to optimize fourth-down decisions and a voiced AI agent telling you to look out ...
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Transforming Healthcare Through AI: Deepan Thulasi's Strategic Approach to Patient-Provider Matching
Deepan Vishal Thulasi Vel said Implementation of explainable AI proved critical for regulatory compliance in the heavily ...
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AI is helping farmers automate weed control and create custom tools as they navigate industry challenges and sustainability ...
Scientists and engineers at UNSW Sydney, who previously developed a method for making green ammonia, have now turned to artificial intelligence and machine learning to make the process even more ...
Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.
Manhattan maintains a strong partnership with Google, hosting its solutions on Google Cloud and leveraging Google’s AI ...
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