Pye AI News

Is Hardware the Key to Advancing Natural Language Processing?

1 week ago4 days ago Antonio Anzaldua Jr.

Researchers at MIT have created an algorithm-based architecture called SpAtten that reduces attention computation and memory access in natural language processing (NLP) systems. If we think it’s hard to learn a new language, imagine the challenges hardware and software engineers face when using CPUs and GPUs to process extensive language data. Natural language processing (NLP) attempts to bridge this gap between language and computing.

An intro to the fast-paced world of artificial intelligence

1 month ago1 month ago Kim Martineau

The field of artificial intelligence is moving at a staggering clip, with breakthroughs emerging in labs across MIT. Through the Undergraduate Research Opportunities Program (UROP), undergraduates get to join in. In two years, the MIT Quest for Intelligence has placed 329 students in research projects aimed at pushing the frontiers of computing and artificial intelligence, and using these tools to revolutionize how we study the brain, diagnose and treat disease, and search for new materials with mind-boggling properties.

AI research survey finds machine learning needs a culture change

2 months ago2 months ago Khari Johnson

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.

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

3 months ago2 months ago Katia Moskvitch

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?

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

4 months ago4 months ago Khari Johnson

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.

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

4 months ago2 months ago Rose Taylor, Pye Staff

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.

COVID-19 AI model detects the virus through digital cough recordings

4 months ago4 months ago Victoria Loskutova

Alongside the whole craziness happening in the world right now, phenomenal inventions are being created. For instance, MIT researchers have been working on an AI model that can detect people infected with COVID-19 through a digitally recorded cough.

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

4 months ago4 months ago Kyle Wiggers

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.

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

4 months ago3 months ago Rose Taylor, Pye Staff

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.

MIT: AI Cures: data-driven clinical solutions for Covid-19

4 months ago4 months ago Rose Taylor, Pye Staff

MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.

MIT: What to expect when you’re expecting Robots

4 months ago4 months ago Rose Taylor, Pye Staff

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.

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