AI research survey finds machine learning needs a culture change

The machine learning community, particularly in the fields of computer vision and language processing, has a data culture problem. That’s according to a survey of research into the community’s dataset collection and use practices published earlier this month.
What’s needed is a shift away from reliance on the large, poorly curated datasets used to train machine learning models. Instead, the study recommends a culture that cares for the people who are represented in datasets and respects their privacy and property rights.

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New IBM-MIT system brings AI to microcontrollers – paving the way to ‘smarter’ IoT

Smart homes are now all the rage, with smart speakers controlling your lights, your door lock, your fridge. But what if you didn’t want to use a smart speaker or any sophisticated computer to operate your devices? What if instead, a device like a lock had a cheap, tiny but powerful embedded AI that could recognize your face to open the door – and run on batteries for a year, no WIFi or smart speaker needed?

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AI research finds a ‘compute divide’ concentrates power and accelerates inequality in the era of deep learning

AI researchers from Virginia Tech and Western University have concluded that an unequal distribution of compute power in academia is furthering inequality in the era of deep learning. They also point to the impact on academia of people leaving prestigious universities for high-paying industry jobs.

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MIT: Building the algorithm commons: Who discovered the algorithms that underpin computing in the modern enterprise?

Analyzing this “Algorithm Commons” reveals that the United States has been the largest contributor to algorithm progress, with universities and large private labs (e.g., IBM) leading the way, but that U.S. leadership has faded in recent decades.

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MIT CSAIL researchers claim their algorithm helps doctors pick the right antibiotics

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) say they’ve developed a recommendation algorithm that predicts the probability a patient’s urinary tract infection (UTI) can be treated by first- or second-line antibiotics.

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MIT: Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs

MIT researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough. These differences are not decipherable to the human ear. But it turns out that they can be picked up by artificial intelligence.

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MIT: What to expect when you’re expecting Robots

As Covid-19 has made it necessary for people to keep their distance from each other, robots are stepping in to fill essential roles, such as sanitizing warehouses and hospitals, ferrying test samples to laboratories, and serving as telemedicine avatars.

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MIT CSAIL’s AI revives dead languages it hasn’t seen before

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) claim to have developed a system that can decipher a lost language without knowing its relation to other languages. The team says this is a step toward a system that’s able to decipher lost languages using just a few thousand words.

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AI researchers devise failure detection method for safety-critical machine learning

Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence.

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MIT task force predicts fully autonomous vehicles won’t arrive for ‘at least’ 10 years

MIT task force predicts fully autonomous vehicles won’t arrive for ‘at least’ 10 years

Driverless systems will take at least a decade to deploy over large areas and that expansion will happen region-by-region in specific transportation categories, resulting in variations in availability across the country.

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