Business
Across the country, hundreds of thousands of drivers deliver packages and parcels to customers and companies each day, with many click-to-door times averaging only a few days. Coordinating a supply chain feat of this magnitude ...
14 hours ago
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4
Machine learning & AI
One of the pioneers of Explainable AI has developed an advanced model that explains how and why AI works. The model opens up AI's mysterious "black box" and is available for virtually all AI systems.
Apr 8, 2024
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13
Energy & Green Tech
Recently, artificial intelligence (AI) has been cast as a problem in the urgent, international effort to tackle climate change. As AI plays a greater role in our lives, it will need enormous amounts of computing power and ...
Apr 7, 2024
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Computer Sciences
Psychology studies have demonstrated that by the age of 4–5, young children have developed intricate visual models of the world around them. These internal visual models allow them to outperform advanced computer vision ...
Machine learning & AI
Words are important to express ourselves. What we don't say, however, may be even more instrumental in conveying emotions. Humans can often tell how people around them feel through non-verbal cues embedded in our voice.
Mar 20, 2024
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76
Machine learning & AI
AI holds the potential to revolutionize health care, but it also brings with it a significant challenge: bias. For instance, a dermatologist might use an AI-driven system to help identify suspicious moles. But what if the ...
Feb 23, 2024
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Hi Tech & Innovation
A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their ...
Feb 18, 2024
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55
Computer Sciences
A team of AI researchers at Google's DeepMind project, working with a colleague from the University of Southern California, has developed a vehicle for allowing large language models (LLMs) to find and use task-intrinsic ...
Computer Sciences
For a machine learning system comprising multiple machine learning models and input data, researchers at University of Tsukuba developed a theoretical model for evaluating the effect of diversity in machine learning models ...
Feb 1, 2024
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17
Machine learning & AI
Uncertainty estimation is critical to improving the reliability of deep neural networks. A research team led by Aydogan Ozcan at the University of California, Los Angeles, has introduced an uncertainty quantification method ...
Jan 16, 2024
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