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Government Technology

Senior Lecturer Luis Videgaray speaks with Government Technology reporter Nikki Davidson about concerns facing emerging AI programs and initiatives. Videgaray underscores the importance of finding vendors, "who are willing to protect the data in a way that is appropriate and also provides the state or local government agency with the required degree of transparency about the workings of the model, the data that was used for training and how that data will interact with the data supplied by the customer.”

Associated Press

Prof. Philip Isola and Prof. Daniela Rus, director of CSAIL, speak with Associated Press reporter Matt O’Brien about AI generated images and videos. Rus says the computing resources required for AI video generation are “significantly higher than for still image generation” because “it involves processing and generating multiple frames for each second of video.”

The Boston Globe

Prof. Daniela Rus, director of CSAIL, speaks with Boston Globe reporter Evan Sellinger about her new book, “The Heart and the Chip: Our Bright Future With Robots,” in which she makes the case that in the future robots and humans will be able to team up to create a better world. “I want to highlight that machines don’t have to compete with humans, because we each have different strengths. Humans have wisdom. Machines have speed, can process large numbers, and can do many dull, dirty, and dangerous tasks,” Rus explains. “I see robots as helpers for our jobs. They’ll take on the routine, repetitive tasks, ensuring human workers focus on more complex and meaningful work.”

Politico

Researchers at MIT and elsewhere have developed a machine-learning model that can identify which drugs should not be taken together, reports Politico. “The researchers built a model to measure how intestinal tissue absorbed certain commonly used drugs,” they write. “They then trained a machine-learning algorithm based on their new data and existing drug databases, teaching the new algorithm to predict which drugs would interact with which transporter proteins.”

The Daily Beast

MIT researchers have developed a new technique “that could allow most large language models (LLMs) like ChatGPT to retain memory and boost performance,” reports Tony Ho Tran for the Daily Beast. “The process is called StreamingLLM and it allows for chatbots to perform optimally even after a conversation goes on for more than 4 million words,” explains Tran.

The Economist

In an article co-authored for The Economist, Senior Lecturer Donald Sull explores the impact of artificial intelligence and large language models (LLMs) on corporate company culture. “Leaders who do adopt AI for cultural insights can use these to make their employees happier, lower the odds of reputational disasters and, ultimately, boost their profits,” writes Sull. “Measurement is not the only piece of the ‘successful culture’ puzzle, but it is a crucial one. Culture has always been an enigma at the heart of organizational performance: undoubtedly important, but inscrutable. With AI, meaningful progress can be made in deciphering it.”

TechCrunch

Corey Jaskolski SM '02 founded Synthetaic, a software company that uses AI to “automate the analysis of large datasets, namely satellite imagery and video, not containing labels,” reports Kyle Wiggers for TechCrunch. “Synthetaic’s technology offers a transformative approach to AI model training and creation, addressing the critical needs of technical decision makers,” says Jaskolski.

MSNBC

Joy Buolamwini PhD '22 speaks with MSNBC reporter Daniela Pierre-Bravo about her new book, Unmasking AI: My Mission To Protect What is Human in a World of Machines, which explores the intersection of AI development and the, “dangers of bias in its algorithmic systems.” Buolamwini emphasizes that: “We need legislation — at the federal level — because the legislation then puts in the guard rails for the tech companies. And also, we need to think about AI governance globally. I do think that all of our stories matter. When you share your experience with AI or your questions about it, you encourage other people to share their stories.”

The Boston Globe

Researchers from MIT and elsewhere have developed an AI model that is capable of identifying 3 ½ times more people who are at high-risk for developing pancreatic cancer than current standards, reports Felice J. Freyer for The Boston Globe. “This work has the potential to enlarge the group of pancreatic cancer patients who can benefit from screening from 10 percent to 35 percent,” explains Freyer. “The group hopes its model will eventually help detect risk of other hard-to-find cancers, like ovarian.”

New Scientist

A new working paper by MIT researchers focuses on whether human work, including vision tasks, are worth replacing with AI computer vision, reports Jeremy Hsu for New Scientist. “There are lots of tasks that you can imagine AI applying to, but actually cost-wise you just wouldn’t want to do it,” says Research Scientist Neil Thompson, director of the FutureTech Research Project at CSAIL.

The Boston Globe

Researchers at MIT have released a new working paper that aims to quantify the severity and speed with which AI systems could replace human workers, reports Hiawatha Bray for The Boston Globe. The paper concluded that “it’s not enough for AI systems to be good at tasks not performed by people,” explains Bray. “The system must be good enough to justify the cost of installing it and redesigning the way a job is done.”

Forbes

A new working paper by MIT researchers predicts “only 23% of wages linked to vision-related tasks could be feasibly cost-effectively replaced by AI,” reports Gil Press for Forbes. The researchers “argue that their findings apply also to generative AI or the automation of language-related tasks,” writes Press.

The Wall Street Journal

Wall Street Journal reporter Lindsey Choo spotlights Principal Research Scientist Matthias Winkenbach and his work developing an AI model to help delivery drivers find the best routes. The model would “take into consideration complex real-world constraints,” such as allowing drivers to, “choose a route that may not be the shortest but allows them to park more conveniently or unload packages in safer spaces,” writes Choo.

Forbes

Researchers at MIT have discovered how a new computational imaging algorithm can capture user interactions through ambient light sensors commonly found in smartphones, reports Davey Winder for Forbes. “By combining the smartphone display screen, an active component, with the ambient light sense, which is passive, the researchers realized that capturing images in front of that screen was possible without using the device camera,” explains Winder.

Tech Briefs

Javier Ramos '12, SM '14, co-founder of InkBit, and his colleagues have developed a, “3D inkjet printer that uses contact-free computer vision feedback to print hybrid objects with a broad range of new functional chemistries,” reports Ed Brown for Tech Briefs. “Our vision for Inkbit is to reshape how the world thinks about production, from design to execution and make our technology readily available,” says Ramos. “The big opportunity with 3D printing is how to disrupt the world of manufacturing — that’s what we're focused on.”