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  Avi Wigderson Receives ACM A.M. Turing Award for Groundbreaking Insights on Randomness Leading Theoretical Computer Scientist Cited for Field-Defining Contributions New York, NY, April 10, 2024  – ACM, the Association for Computing Machinery, today named Avi Wigderson as recipient of the 2023 ACM A.M. Turing Award for foundational contributions to the theory of computation, including reshaping our understanding of the role of randomness in computation, and for his decades of intellectual leadership in theoretical computer science. Wigderson is the Herbert H. Maass Professor in the School of Mathematics at the Institute for Advanced Study in Princeton, New Jersey. He has been a leading figure in areas including computational complexity theory, algorithms and optimization, randomness and cryptography, parallel and distributed computation, combinatorics, and graph theory, as well as connections between theoretical computer science and mathematics and science. The ACM A.M. Turing Award,
 WWDC'24
  Developer Keynote (Google I/O '24)
Introducing GPT-4o and making more capabilities available for free in ChatGPT.
  Google Pledges to Destroy Browsing Data to Settle ‘Incognito’ Lawsuit Google pledged to destroy data that reflects millions of users’ Web-browsing histories as part of a settlement of a lawsuit that accused the company of tracking people without their knowledge. The class action, filed in 2020, accused Google of misleading users about how Chrome tracked the activity of anyone who used the private “Incognito” browsing option. The settlement sets out the actions the company will take to change its practices around private browsing, including destroying billions of data points the lawsuit alleged it improperly collected. The Wall Street Journal; Erin Mulvaney; Miles Kruppa
Google AI could soon use a person’s cough to diagnose disease Machine-learning system trained on millions of human audio clips shows promise for detecting COVID-19 and tuberculosis. A team led by Google scientists has developed a machine-learning tool that can help to detect and monitor health conditions by evaluating noises such as coughing and breathing. The artificial intelligence (AI) system1, trained on millions of audio clips of human sounds, might one day be used by physicians to diagnose diseases including COVID-19 and tuberculosis and to assess how well a person’s lungs are functioning. AI detects eye disease and risk of Parkinson’s from retinal images This is not the first time a research group has explored using sound as a biomarker for disease. The concept gained traction during the COVID-19 pandemic, when scientists discovered that it was possible to detect the respiratory disease through a person’s cough2. What’s new about the Google system — called Health Acoustic Repres
The Fight for AI Talent To attract workers with generative AI expertise, tech companies increasingly are offering million-dollar annual compensation packages with accelerated stock-vesting schedules. Others are poaching entire engineering teams. This comes as other areas of the tech industry have seen major layoffs. In high demand are those who have experience training large language models (LLMs) and AI salespeople. SBT Industries' Justin Kinsey said some candidates can be persuaded to switch companies with promises of autonomy over their work. The Wall Street Journal; Katherine Bindley (March 27, 2024)