MIT

MIT Researchers Employ Machine Learning To Discover New Sequences To Boost...

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Machine learning has been widely used in finding efficient solutions in the healthcare sector to help in diagnosing and treating various illnesses.  Sarepta Therapeutics, located...

MIT Researchers Propose ‘Digital Optical Neural Network (DONN)’: An Energy-Efficient Optical...

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MIT researchers have developed a novel optical DNN (artificial deep neural network) accelerator that uses light to transmit activation and weight data. They called...

CMU and MIT AI Researchers Present A New Method To Sketch...

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Sketching is the most universally accessible way to convey a visual concept. In contrast, creating GAN models has traditionally required knowledge in deep learning...

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA...

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Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely...

MIT, Microsoft & Allen AI Open-Source A Suite Of AI Programming...

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Programming competition problems in AI can be used to assess programmers’ abilities to tackle artificial tasks and to test the boundaries of current algorithms....

AI Researchers From MIT Lincoln Lab Developed RIO (Reconnaissance of Influence...

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Disinformation manipulates accurate information deliberately to mislead the masses, and the spread of such information is not new. It has been in practice for...

MIT and IBM Researchers Propose an AI Method for Finding and...

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With the development of software and its varied usage, Software developers are now in huge demand. This scenario is demanding to automate some of...

Researchers at MIT DAI Lab Have Recently Built Cardea: A Machine...

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Hospitals and other healthcare organizations have invested a significant amount of time and effort into implementing electronic healthcare reports, transforming hastily scribbled physicians' notes...

Researchers From MIT-IBM Watson AI Lab, the University of Michigan, and...

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AI systems are widely adopted in several real-world industries for decision-making. Despite their essential roles in numerous tasks, many studies show that such systems...

Researchers at MIT and Amazon Study Pervasive Label Errors in Test...

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Large labeled data sets are crucial for successful supervised machine learning (ML) across several domains such as image classification, sentiment analysis, and audio classification....