In the Media
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Computer Science (Artificial Intelligence)
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January 4, 2021
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning. -
December 23, 2020
AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts. -
December 18, 2020
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack. -
December 11, 2020
Thomas Shi-Tao Huang SM ’60, ScD ’63, a former professor of Electrical Engineering at MIT, passed away on April 25, 2020, three months after the death of his beloved wife Margaret. A pioneer in image processing and compression, computer vision, pattern recognition, multimedia retrieval, and human-computer interaction, Huang’s breadth and depth of scholarship was informed by a wide-ranging appetite for music and art. -
December 11, 2020
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing. -
December 9, 2020
Katie Collins and Marla Odell are heading to the United Kingdom next fall for two years of graduate study. -
November 30, 2020
Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say. -
November 24, 2020
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects. -
November 13, 2020
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency. -
November 10, 2020
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings. -
November 9, 2020
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics. -
November 5, 2020
Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends. -
November 4, 2020
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space. -
October 29, 2020
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management. -
October 29, 2020
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware. -
October 20, 2020
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments. -
October 20, 2020
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. -
September 28, 2020
MIT-led team uses AI and machine learning to explore fundamental forces. -
September 23, 2020
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis. -
July 24, 2020
Tamara Broderick scaling challenges of Bayesian inference -
June 3, 2020
Augmented reality (AR) and virtual reality (VR) companies have been working for years on developing systems that can incorporate real-life objects into their digitized worlds. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Lab has developed a smart glove that can detect your hand pose, as well as distinguish between more than 30 different household objects. -
May 28, 2020
MIT system cuts the energy required for training and running neural networks. -
May 28, 2020
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering. -
May 22, 2020
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic. -
May 8, 2020
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
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