AI Technology & Industry Review
Tsinghua & MIT researchers break the stereotype that GPTs can generate but not understand language, showing that GPTs can compete with BERT models on natural language understanding tasks using a novel P-tuning method that can also improve BERT performance in both few-shot and supervised settings.
MIT Lincoln Laboratory has established a new research and development division, the Biotechnology and Human Systems Division.
MIT, UChicago, Harvard and Diffeo *Bayesian Delegation* multi-agent learning mechanism enables agents to coordinate behaviour on the fly
“The Computational Limits of Deep Learning” first author Neil Thompson of MIT says DL’s economic and environmental footprints are growing worrying fast
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
In a bid to improve object localization in less-than-ideal circumstances, an MIT and IBM research group has proposed a cross-modal auditory localization framework that can effectively locate objects using stereo sound.
The MIT researchers’ novel method can speed up the grasp-planning process from more than 10 minutes to less than a second.
A team of researchers have proposed a number of “recommendations to data providers, academic publishers, and the ML4H research community in order to promote reproducible research moving forward” in their new paper Reproducibility in Machine Learning for Health.
A group of MIT researchers (Han Cai, Chuang Gan and Song Han) have introduced a “Once for All” (OFA) network that achieves the same or better level accuracy as state-of-the-art AutoML methods on ImageNet, with a significant speedup in training time.
Researchers from MIT Media Lab and Adobe Research recently introduced a real-time interactive augmented video system that enables presenters to use their bodies as storytelling tools by linking gestures to illustrative virtual graphic elements.
Do you dream of Asuna Yuuki? Do you long to escape to a fantasy world with a beautiful anime partner? If so there’s a new artificial intelligence system just for you — the “Waifu Vending Machine” can create a highly customized anime companion in minutes.
MIT and Brown have now upgraded the Northstar platform with an AutoML-based component called Virtual Data Scientist (VDS), which helps users generate machine learning models to run prediction tasks on datasets.
n the new paper Adversarial Examples Are Not Bugs, They Are Features, a group of MIT researchers propose that adversarial examples’ effectiveness can be attributed to non-robustness: “Adversarial vulnerability is a direct result of our models’ sensitivity to well-generalizing features in the data.”
Researchers from the University of Washington, MIT, and Facebook Realty Lab recently proposed the novel deep representation method “DeepSDF” to study 3D object generation.
Synced Global AI Weekly May 12nd
The Seventh International Conference on Learning Representations (ICLR) kicked off today. One of the world’s major machine learning conferences, ICLR this year received 1591 main conference paper submissions — up 60 percent over last year — and accepted 24 for oral presentations and 476 as poster presentations.
There’s a lot more to a friendly game of Jenga than meets the eye. Strategies are informed by a complex set of tactile and visual stimuli — by touching a block and observing the tower, we not only see but also feel our actions and their consequences. The MIT Jenga robot thus marks an important step in AI’s transition to the physical world.
Synced Global AI Weekly December 9th
Synced Global AI Weekly Nov 18th
New research from Carnegie Mellon University, Peking University and the Massachusetts Institute of Technology shows that global minima of deep neural networks can been achieved via gradient descent under certain conditions. The paper Gradient Descent Finds Global Minima of Deep Neural Networks was published November 12 on arXiv.
The Massachusetts Institute of Technology (MIT) today announced they will invest US$1 billion into a new college for artificial intelligence. The MIT Stephen A. Schwarzman College of Computing will “constitute both a global center for computing research and education, and an intellectual foundry for powerful new AI tools.”
Researchers from MIT, Google, and Xian Jiaotong University recently published a paper proposing AutoML for Model Compression (AMC), which leverages reinforcement learning to shorten model compression processing time and improve results.
MIT-developed Julia has become one of the world’s fastest-growing programming languages. Last year it teamed with a supercomputer to catalogue 200 million astronomical objects within 15 minutes — one thousand times faster than the previous rate.
The dearth of AI talents capable of manually designing neural architecture such as AlexNet and ResNet has spurred research in automatic architecture design. Google’s Cloud AutoML is an example of a system that enables developers with limited machine learning expertise to train high quality models. The trade-off, however, is AutoML’s high computational costs.
The International Conference on Machine Learning (ICML) 2018 will be held July 10 – 15 in Stockholm, Sweden. Yesterday, from more than 600 accepted papers, the prestigious conference announced its Best Paper Awards.
Microsoft is working on a bias-detecting tool which can alert people if an AI algorithm might be treating them unfairly based on their race or gender. As more and more decisions are being made by or based on AI, the detection of unfair biases has become an important public issue.
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
If you are familiar with the biotech industry, you know Cambridge. The small city at the center of the Great Boston Area hosts over 1,000 biotechnology-related companies. Most of these companies cluster around Kendall Square, the same block as the Massachusetts Institute of Technology (MIT).
While Poggio the teacher has taught some extraordinary leaders in AI, Poggio the scientist is renowned for his theory of deep learning, presented in papers with self-explanatory names: Theory of Deep Learning I, II and III.
When Bayesian Cognitive Scientist Josh Tenenbaum recently told a packed University of Toronto lecture hall that “intelligence is not just about pattern recognition,” the significance of the statement was not lost on the audience.
Now social and behavioral scientists can use the TuringBox platform to study artificial intelligence algorithms. AI contributors can upload existing and novel algorithms for review, gaining a reputation in their community.
The Massachusetts Institute of Technology (MIT) and Chinese AI Unicorn SenseTime today announced the MIT-SenseTime Alliance on Artificial Intelligence, a partnership the duo says “aims to open up new avenues of discovery across MIT in areas such as computer vision, human-intelligence-inspired algorithms, medical imaging, and robotics.”
Although most adults are now accustomed to smart devices, children aged 4–9 have thus far had less cause to communicate with virtual assistants or operate other AI-powered products. A Boston-based company is changing that with its new intelligent plush toy.
MIT scientists teach AI to have emotions; AI company Stem works with Mitsui to build the first energy storage in Japan; New York City implements expert team to correct algorithm biases
The conference was held November 17-19th, and attracted research scientists, industry influencers, venture investors, and entrepreneurs from the Greater Boston Area.
Toronto’s Vector Institute announced today that it is adding 10 new faculty members, effectively doubling its size.
Delphi Automotive (Delphi), one of the world’s largest automotive parts manufacturers, has announced the acquisition of MIT spin-off self-driving car company nuTonomy for US$450 million.
09/05 — Google Updates Its Street View Cameras with AI and Machine Learning Google just upgraded its street view camera for the firstContinue Reading
RACECAR is a Powerful Platform for Robotics Research and Teaching. It is one of the greatest university courses in this field.
Autonomous wheelchair developed by researchers at MIT and in Singapore promises improved independence for the disabled Abstract After building self-drivingContinue Reading