Tag: MIT
New Machine Learning Tool Flags Risky Remedies
Sometimes, treatments can make things worse – but it can be hard to know when that is (or isn’t) the case. Such is the case with sepsis, which kills nearly 270,000 annually in the United States – and which can, sad Read more…
MIT Researchers Develop AI That Better Understands Object Relationships
Increasingly, AI is competent when it comes to identifying objects in a scene: built-in AI for an app like Google Photos, for instance, might recognize a bench, or a bird, or a tree. But that same AI might be left cluele Read more…
MIT Researchers Leverage Machine Learning for Better Lidar
Lidar (short for light detection and ranging) is an increasingly common technology – it’s embedded in iPhones and Teslas – that uses lasers to measure distances, allowing accurate remote mapping of small and large Read more…
ML Scaling Requires Upgraded Data Management Plan
Successful data strategies are built on a foundation of meticulous data management, creating enterprise architectures that “democratize” data access and usage, yielding measurable results from machine learning platfo Read more…
Facts Can Change, and AI Can Help
As understanding of an issue evolves, the best set of available facts often changes: for instance, mask-wearing wasn’t recommended early in the COVID-19 pandemic, but now, it’s common knowledge that mask-wearing is h Read more…
MIT Analytics Reveal How Anti-Maskers Leverage Data Visualization
You’ve probably seen them: the Facebook posts from a relative or a friend of a friend claiming that if you look at the numbers, the pandemic isn’t a big deal, masks don’t work – that kind of thing. Usually, there Read more…
MIT’s New ‘SpAtten’ Tool is Paying Attention to Your Sentences
In an episode of The Office, the character Kevin Malone famously opined: “Why waste time say lot word when few word do trick?” Indeed, language can be inefficient, leading to bloated and less-accurate natural languag Read more…
Using Genetic Grammar, MIT NLP Model Examines How Viruses Escape
As the COVID-19 pandemic crosses the one-year mark, its various mutations are increasingly dominating headlines. Part of this is due to some variants’ increased infectiousness, but much of it also stems from an underly Read more…
MIT Machine Learning Reveals COVID-19 Vaccines May Be Less Effective for Racial Minorities
The last month has been filled with incredible news on COVID-19 vaccines following an astonishing, year-long global effort that has shattered records for vaccine development. Three companies – Pfizer, Moderna, and Astr Read more…
AI Model Detects Asymptomatic COVID-19 from a Cough 100% of the Time
As early as December 2019, AI systems were warning policy-makers about the coronavirus. As the pandemic gained a foothold and began to spread across the world, AI found a number of other applications in the fight against Read more…
MIT Is Developing a Tool for Machine Learning-Powered Data Retrieval
With the global deluge of data, the opportunities are endless – but so are the challenges. Within five years, the world’s data is estimated to reach 175 zettabytes: enough to fill over 23,000 one-terabyte hard drives Read more…
COVID-19 Roundup: Apple, Palantir, Rolls-Royce & More
As the COVID-19 pandemic sweeps the globe, big data and AI have emerged as crucial tools for everything from diagnosis and epidemiology to therapeutic and vaccine development. Here, we collect the latest news in how big Read more…
MIT Aims to Ease AI Programming
A new AI programming language seeks to ease the process of writing inference algorithms and other predictive models without the hassle of grinding out complicated equations and code. Among the goals of the probabilist Read more…
Will Neural Nets Replace Science Writers?
“Researchers have developed a new representation process on the rotational unit of RUM, a recurrent memory that can be used to solve a broad spectrum of the neural revolution in natural language processing.” The s Read more…
Toward ‘Biologically Plausible’ AI
In the latest attempt at understanding the mechanism(s) by which machines learn, and AI researcher and a neuroscientist probed for similarities in the computational properties between deep neural networks and human brain Read more…
Accelerating Neural Network Design
The design of a neural network architecture remains a daunting problem, requiring human expertise and lots of computing resources. The soaring computational requirements of neural architecture search (NAS) algorithms use Read more…
ML Enlisted to Slow the Spread of Fake News
As should be obvious by now, traditional fact-checking methods have failed to stop “fake news” from spreading like wildfire via social media circuits. While platforms like Facebook (NASDAQ: FB) are developing new Read more…
Data Unifier Tamr Adds More VC Funding
Tamr Inc., the enterprise data integration specialist, added another $10 million in equity funding to its recent $18 million round announced in July. While the five-year-old company reportedly expected its July fundin Read more…
How to Survive Tech’s Chaotic Transformation
Are you nervous about the pace of technological change? If you're running a profitable business, and would like to keep it that way, you should be worried about being out-innovated by a nimbler startup leveraging the lat Read more…
Sparse Fourier Transform Gives Stream Processing a Lifeline from the Coming Data Deluge
When James Cooley and John Tukey introduced the Fast Fourier transform in 1965, it revolutionized signal processing and set us on course to an array of technological breakthroughs. But today's overwhelming data sets requ Read more…
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