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TechCrunch

TechCrunch reporter Kyle Wiggers spotlights how MIT researchers have developed a new computer vision algorithm that can identify images down to the individual pixel. The new algorithm is a “vast improvement over the conventional method of ‘teaching’ an algorithm to spot and classify objects in pictures and videos,” writes Wiggers.

ABC News

Prof. Jessika Trancik speaks with ABC News about the urgent need to transition to renewable energy sources, and how we can build a future powered by alternative energy. “Up until recently there were really significant questions about whether we could transition to another [energy] foundation,” says Trancik. “This question has now been answered in that we now have cost competitive renewable primary energy in the form of solar and wind energy and also in other types of renewable energy.”

Stat

STAT reporter Katie Palmer spotlights Principal Research Scientist Leo Anthony Celi’s research underscoring the importance of improving the diversity of datasets used to design and test clinical AI systems. “The biggest concern now is that the algorithms that we’re building are only going to benefit the population that’s contributing to the dataset,” says Celi. “And none of that will have any value to those who carry the biggest burden of disease in this country, or in the world.”

TechCrunch

MIT startup ReadySet, co-founded by Alana Marzoev PhD ’18 and Jon Gjengset PhD ’20, provides database infrastructure to help developers build real-time applications, reports Kyle Wiggers for TechCrunch. “Rather than rebuilding these same broken systems, developers need solutions that slot into their existing infrastructure and achieve limitless read scaling,” says Marzoev. “With ReadySet, we aim to make the process of globally caching… query results as streamlined and automated as caching images in a content delivery system.”

The Boston Globe

MIT researchers and two high school seniors have developed DualFair, a new technique for removing bias from a mortgage lending dataset, reports Hiawatha Bray for The Boston Globe. “When a mortgage-lending AI was trained using DualFair and tested on real-world mortgage data from seven US states,” writes Bray, “the system was less likely to reject applications of otherwise qualified borrowers because of their race, sex, or ethnicity.”

The Wall Street Journal

Prof. Jessika Trancik speaks with Wall Street Journal reporter Nidhi Subbaraman about the dramatic drops in costs to manufacture and sell renewable technologies. Subbaraman notes that Trancik’s research shows that “the steep drop in solar and lithium-ion battery technology was enabled by market expansion policies as well as investment in research and development by governments and the private sector.”

The Boston Globe

Boston Globe reporter Michael Silverman spotlights the MIT Sloan Sports Analytics Conference, which is highlighting the resiliency of the sports industry.

Forbes

Forbes contributor Patrick Rishe spotlights the 2022 MIT Sloan Sports Analytics Conference, which addressed equity analytics, the Rooney rule, sports marketing in the metaverse, and the future of AI in sports. “Advancements in technology and tracking granular layers of fan behavior at (and away from) sports venues are giving brands deeper insights on connecting a particular partnership with real consumer purchase intentions,” writes Rishe.

Axios

Axios reporter Erin Broadwin spotlights Dimagi, a digital tool for health workers in remote areas that was started by researchers from the MIT Media Lab and the Harvard-MIT Health Sciences and Technology program.

Forbes

Sajith Wickramasekara15 and Ashu Singhal ’11 co-founded Benchling, a software company designed to make it easier to keep track of laboratory data. The company has now acquired Overwatch, a software company for customers working in preclinical biopharma research, reports Alex Knapp for Forbes. “It [the acquisition] fits really nicely in the direction our company is heading,” says Wickramasekara. “It really helps us extend our offering, especially for biopharma where we’re growing a lot.”

Forbes

Recent MIT research has found a high number of errors in public datasets often used for training models, reports David Talby for Forbes. “An average of 3.3% errors were found in the test sets of 10 of the most widely used computer vision, natural language processing (NLP) and audio datasets,” writes Talby.

Forbes

Forbes contributor Carolina Milanesi spotlights Dr. Ana Pinheiro Privette ’98, the global lead for the Amazon Sustainability Data Initiative (ASDI), who collaborates with environmental nonprofits, private companies and government agencies to give researchers access to ASDI’s data catalog information. “I’m not sure if I am saving the world, but I’m at least helping people have more resources to do it,” says Pinheiro Privette.

TechCrunch

Yuanming Hu SM’19, PhD ’21 and Ye Kuang co-founded startup Taichi Graphics, a cloud-based platform which aims to make 3D content creation easier to develop, share and collaborate on, reports Rita Liao for TechCrunch. “Undergirding the platform is its open-source programming language Taichi, which offers a high-performance computation on spatially sparse data structures like those from 3D visual graphics,” writes Liao.

Forbes

Zero-knowledge proof (ZKP), a cryptographic method invented by three MIT researchers in 1985, enables authentication of private information without revealing information that could be compromised, reports Victor Shilo for Forbes. “ZKP has the potential to protect privacy in a wide range of cases,” writes Shilo. “By implementing ZKP, businesses and society can evolve to ‘open data 2.0’ where daily transactions are completed in today’s digital economy but without disclosing unnecessary sensitive information.”

The Atlantic

Media Lab researcher Joy Buolamwini writes for The Atlantic about the dangers posed by government agencies adopting the use of facial recognition technology. “No biometric technologies should be adopted by the government to police access to services or benefits,” writes Buolamwini, “certainly not without cautious consideration of the dangers they pose, due diligence in outside testing, and the consent of those exposed to potential abuse, data exploitation, and other harms that affect us all.”