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Researchers from MIT and Symbotic developed a deep reinforcement learning system that optimizes robot traffic in autonomous warehouses, achieving a 25% throughput gain over existing methods by dynamically prioritizing robots to avoid congestion.
Researchers from MIT and the Woodwell Climate Research Center published a paper on using computer vision to automate fish monitoring, improving upon traditional citizen science methods for river herring conservation.
MIT researchers have developed an ultrasound wristband that tracks hand movements in real-time using AI to control robotic hands or virtual environments. The technology, published in Nature Electronics, aims to improve dexterous robot training and VR interaction without the limitations of cameras or sensor gloves.
The article profiles Sojun Park, an MIT postdoc researching the global diffusion of AI technologies, intellectual property, and international trade.
MIT hosted a 2025 workshop on the future of AI and mathematical/physical sciences, bringing together leading researchers to explore how these domains can advance each other. The resulting white paper emphasizes that AI and science should have a two-way relationship, with science informing AI development and AI improving scientific discovery.
MIT has created a new undergraduate class combining anthropology and computer science to teach students how to design chatbots and AI systems with humane user experience principles, addressing concerns about addictive digital platforms and promoting ethical AI design.