NEWS IN BRIEF: AI/ML FRESH UPDATES

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Revolutionizing Healthcare with Machine Learning

Marzyeh Ghassemi combines her love for video games and health in her work at MIT, focusing on using machine learning to improve healthcare equity. Ghassemi's research group at LIDS explores how biases in health data can impact machine learning models, highlighting the importance of diversity and inclusion in AI applications.

AI predicts future flooding with realistic satellite images

MIT scientists develop method using AI and physics to generate realistic satellite images of future flooding impacts, aiding in hurricane preparation. The team's "Earth Intelligence Engine" offers a new visualization tool to help increase public readiness for evacuations during natural disasters.

Enhancing Outlier Detection with Feature Subsets

Identifying relevant subspaces in outlier detection is crucial for effective analysis of tabular data. Challenges include defining meaningful outliers and dealing with the curse of dimensionality in data with many features.

Rise of AI in Online Crime

Police chief warns of criminals using AI to target victims in new ways. Urges law enforcement to adapt quickly to combat evolving threats.

Elon Musk's Twitter Investment: A Power Move

Jeff Jarvis, former TV critic and online media leader, warns of internet regulation affecting freedoms in his new book, The Web We Weave. He emphasizes the dangers of moral panic and the need to reclaim the web from tech bros to prevent stifling regulations.

Russian AI Cyber-Attack Threat

Pat McFadden warns at Nato conference that Russia aims to target UK's electricity grid using AI. London to launch Laboratory for AI Security Research to counter emerging threats.

Charting a Path to U.S. Science Success

White House science advisor Arati Prabhakar discusses U.S. leadership in science and technology, focusing on cancer prevention, climate change, and AI. Prabhakar emphasizes the importance of sustaining global research leadership and accelerating technology movement into the market.

Decoding Driver Behavior with New Vehicle Tech

MIT AVT Consortium leads research on how drivers interact with emerging vehicle tech, aiming to shape future transportation through data-driven insights on consumer behaviors and system performance. Recent J.D. Power study shows modest increase in public readiness for AVs, but trust in AI remains crucial for broader adoption, highlighting the need for reliable and intuitive systems.