
A Quantum Computer Corrected Its Own Errors, Improving Its Calculations
Ken Brown adds context to various recent reports of advances in error correction for quantum computing
Ken Brown adds context to various recent reports of advances in error correction for quantum computing
New faculty member Xiang Cheng exploits geometric patterns in data and algorithms to find better ways to train advanced AI programs
New faculty member Afsaneh Rahbar is taking her love of mathematics and logic to teach the next generation of great computational thinkers
Jungsang Kim is recognized for his research in the field of quantum optics and trapped ion systems
For Shaundra Daily, helping to create a more equitable STEM education system is an important part of her work
Emily Wenger explains that if you feed an AI its own dog images enough times, errors in those images will eventually prevent it from being able to produce images that look like dogs at all.
New one-year, $1 million pilot project is the first step toward increasing the United State’s quantum infrastructure
New faculty member Afsaneh Rahbar is using her love of mathematics and logic to teach the next generation of great computational thinkers
Cynthia Rudin says travelers should not worry too much about new security measures at airports given the rules governing their use and storage.
Emily Wenger emphasizes the risks associated with recursive self-improvement in AI models. She highlights that without careful oversight, these systems might amplify their own mistakes, leading to unpredictable and potentially harmful outcomes.
Yiran Chen discusses China's initiatives to bridge the gap in AI development and the influence of open-source AI models on the US-China competition.
AI approaches and an enormous open-source dataset could spark rapid advancements in adaptive radar systems similar to those seen in computer vision over the past two decades
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