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1 day ago | 
flipboard.com | Adam Zewe
1 day agoAs of early 2025, 52% of U.S. adults report using AI large language models such as ChatGPT, Gemini, Claude, and Copilot, making LLMs one of the fastest-adopted technologies in history. 34% of U.S. adults use an LLM at least once a day, and 10% use them almost constantly. The most popular by far …
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1 day ago | 
news.mit.edu | Adam Zewe |William T. Freeman
MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state-of-the-art approaches.
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6 days ago | 
techxplore.com | Adam Zewe
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming language and doesn't cause a computer to crash. Some methods exist for ensuring LLMs conform to the rules of whatever language they are generating text in, but many of these methods either distort the model's intended meaning or are too time-consuming to be feasible for complex tasks.
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6 days ago | 
news.mit.edu | Adam Zewe
Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers’ lives easier if that code follows the rules of the programming language and doesn’t cause a computer to crash. Some methods exist for ensuring LLMs conform to the rules of whatever language they are generating text in, but many of these methods either distort the model’s intended meaning or are too time-consuming to be feasible for complex tasks.
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6 days ago | 
flipboard.com | Adam Zewe
9 hours agoProtect your identity from data breaches with this free, simple step. Your Social Security number is the key to many parts of your financial life, from opening a new bank account to applying for a job to renting an apartment. If thieves get their hands on your SSN, they can do serious damage to your …
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1 week ago | 
wevolver.com | Adam Zewe
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could maintain the performance of an AI model while ensuring sensitive data, such as medical images or financial records, remain safe from attackers.
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1 week ago | 
techxplore.com | Adam Zewe
When some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they can depart the station later, often from a different platform than the one at which they arrived. Engineers use software programs called algorithmic solvers to plan these movements, but at a station with thousands of weekly arrivals and departures, the problem becomes too complex for a traditional solver to unravel all at once.
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1 week ago | 
news.mit.edu | Adam Zewe
When some commuter trains arrive at the end of the line, they must travel to a switching platform to be turned around so they can depart the station later, often from a different platform than the one at which they arrived. Engineers use software programs called algorithmic solvers to plan these movements, but at a station with thousands of weekly arrivals and departures, the problem becomes too complex for a traditional solver to unravel all at once.
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1 week ago | 
news.mit.edu | Adam Zewe
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could maintain the performance of an AI model while ensuring sensitive data, such as medical images or financial records, remain safe from attackers.
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2 weeks ago | 
wevolver.com | Adam Zewe
This article was first published on news.mit.eduInsect-scale robots can squeeze into places their larger counterparts can’t, like deep into a collapsed building to search for survivors after an earthquake. However, as they move through the rubble, tiny crawling robots might encounter tall obstacles they can’t climb over or slanted surfaces they will slide down.
