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Top healthcare use cases in 2023 that improved patient outcomes.

From the ever-evolving healthcare industry comes a pressing trend of patient disengagement – organizations are fighting to win back the trust of patients and adapt to non-traditional care settings and consumer-centric approaches. COVID-19 has drastically changed the healthcare environment as patients are being granted more individualized healthcare delivery options! In this blog, we will explore…

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ML boosts X-ray diffraction techniques to find new materials

Material scientists are making remarkable advances in the search for new materials with specific properties, and the University of Rochester is leading the way by using machine learning to fast-track their discovery. Crystalline materials have a well-ordered, repeating crystal lattice structure, and the specific arrangement of these lattices gives the material its properties. For instance,…

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ETH Zurich’s robot masters labyrinth game with machine learning

We are thrilled to share the incredible news that researchers from ETH Zurich have developed a robotic system that can solve a real-world labyrinth game using reinforcement learning! As detailed in their study “Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning,” this incredible AI-powered robot mastered the BRIO labyrinth game…

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Stanford researchers identify illicit child imagery in the LAION dataset

The Stanford Internet Observatory recently conducted an extensive study to identify and eliminate child sexual abuse material (CSAM) in generative ML training data and models. In collaboration with the Canadian Centre for Child Protection and other anti-abuse organizations, the team reviewed the LAION database, a large-scale index of online images and captions used to train…

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