Lane receives Sense of Wonder Group professorship in AI systems
Ian Lane co-founded the CUDA Center of Excellence at Carnegie Mellon University, which has helped with fundamental research in GPU-accelerated artificial intelligence. He also founded the College of Engineering GPU-cluster at the Super Computer Center in Pittsburgh. In addition to his academic work, Lane is also an entrepreneur who has founded and contributed to multiple Silicon Valley startups such as Capio, a speech recognition technology company. Lane is the first CMU-SV professor to receive an endowed chair.
Silicon Valley Alumna presents at Grace Hopper Celebration
For many people, space operations still seem like something out of the future, but Carnegie Mellon Silicon Valley alumna Işil Demir works with spacecraft software every day. Demir graduated with an M.S. in software engineering and now leads the Missions Software team at Planet, an Earth imaging company based in San Francisco, CA.
Teaching drones how to learn on the fly
Electrical and computer engineering (ECE) and CMU Silicon Valley Professor Bob Iannucci and ECE Ph.D. candidate Ervin Teng are asking how drones can mimic this behavior by becoming curious themselves. To do so, they are using machine learning and a simulation training tool to teach drones how to learn in real-time in what they call “autonomous curiosity.”
Solving problems through syntax: Catherine Fang teaches new mobile apps for IoT course
During this past semester, Catherine Fang, instructor of Integrated Innovation at Carnegie Mellon in Silicon Valley, taught a seven-week course called “Mobile App for IoT.” In this new course, students learned essentials for programing for the Internet of Things, especially the Web of Things, the application and user-facing layer, while applying their knowledge to solve real world challenges through final projects.
Pricing and processing data far from the Cloud: Carlee Joe-Wong on the economics of the IoT
The Internet of Things (IoT), mobile networks, and edge devices have become integral to daily life. Plenty of devices have enough computing power to process large amounts of data far from a centralized entity like the cloud. Computing this way offers faster networks and smart buildings.
Your smart home may soon have a smarter way to pair your devices
Jun Han, a CyLab researcher and recent Ph.D. graduate in the department of Electrical and Computer Engineering (ECE) at Carnegie Mellon’s Silicon Valley campus presented a study titled "Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using Different Sensor Types" at the IEEE Security & Privacy Symposium in San Francisco.
Fourteen years later, Pasareanu’s automated software-testing work awarded for retrospective impact
Fourteen years ago, CyLab associate research professor Corina Pasareanu and two of her colleagues published a paper outlining three automated techniques for checking software for bugs and vulnerabilities. At the time, software failures cost the United States about $60 billion every year, and today that cost is nearly $1 trillion worldwide.
Sensors for buildings and zebras
Professor Pei Zhang, with Ph.D. students Jun Han and Shijia Pan, attended and received awards at SenSys and BuildSys. Zhang, an associate research professor of electrical and computer engineering (ECE) and information networking at CMU-SV, received the ACM SenSys Test of Time Award.
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