Tag: Anantha Chandrakasan
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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed
When the Takeda Pharmaceutical Co. and the MIT School of Engineering launched their collaboration focused on artificial intelligence in health care and drug development in February 2020, society was on the cusp of a globe-altering pandemic and AI was far from the buzzword it is today. As the programย concludes, the world looks very different. AIย has…
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This tiny chip can safeguard user data while enabling efficient computing on a smartphone
Health-monitoring apps can help people manage chronic diseases or stay on track with fitness goals, using nothing more than a smartphone. However, these apps can be slow and energy-inefficient because the vast machine-learning models that power them must be shuttled between a smartphone and a central memory server. Engineers often speed things up using hardware…
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A crossroads for computing at MIT
On Vassar Street, in the heart of MITโs campus, the MIT Stephen A. Schwarzman College of Computing recently opened the doors to its new headquarters in Building 45. The buildingโs central location and welcoming design will help form a new cluster of connectivity at MIT and enable the space to have a multifaceted role.ย โThe…
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Leveraging language to understand machines
Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. This makes it an excellent source of data to train machine-learning systems on. Two master’s of engineering students in the 6A MEng Thesis Program at MIT, Irene Terpstra โ23 and Rujul Gandhi โ22, are…
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Students pitch transformative ideas in generative AI at MIT Ignite competition
This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and workforce dynamics. On Oct. 30,…
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Accelerating AI tasks while preserving data security
With the proliferation of computationally intensive machine-learning applications, such as chatbots that perform real-time language translation, device manufacturers often incorporate specialized hardware components to rapidly move and process the massive amounts of data these systems demand. Choosing the best design for these components, known as deep neural network accelerators, is challenging because they can have…