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Boston MA (SPX) Feb 05, 2024 - In George Orwell's novel 1984, Big Brother watches citizens through two-way, TV-like telescreens to surveil citizens without any cameras. In a similar fashion, our current smart devices contain am
A computational imaging algorithm reveals that ambient light sensors, which are passive components embedded in the screens of smart devices to alter monitor brightness, pose an imaging privacy threat by exposing users’ touch interactions to hackers, MIT researchers find.
PhD students Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, interning with the MIT-IBM Watson AI Lab, look to improve natural language usage in AI models so that the AI systems can be more dependable and accurate.
MIT researchers have developed a machine-learning model to determine its confidence in a prediction while using no additional data.
A new technique can enable a machine-learning model to quantify how confident it is in its predictions, but does not require vast troves of new data and is much less computationally intensive than other techniques. The work was led by researchers from MIT and the MIT-IBM Watson AI Lab.