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Philip Adama Abel '15 co-founded Cleva, “a banking platform for African individuals and businesses to receive international payments by opening USD accounts,” reports Tage Kene-Okafor TechCrunch. “Long term, we are open to Cleva evolving from just being a product-only service to being a platform issuing APIs to do a bunch of other things that help us distribute services across other African countries or around the world,” says Abel.
Fortune reporter Trey Williams spotlights alumnus Alexandr Wang, co-founder of Scale AI, a “software company that tags text, images, and videos to help companies improve the data used to train AI algorithms.”
Researchers from MIT have developed, “nanoelectronics they hope can one day enter the brain and treat conditions like Alzheimer’s by monitoring some of these brain patterns,” reports Elizabeth Hlavinka for Salon. “Their device, which they call Cell Rover, serves as a sort of antenna that can help external devices monitor cells.”
Prof. Manolis Kellis speaks with Brian Bergstein of The Boston Globe’s “Say More” podcast about the potential influence of artificial intelligence on biological advances and medicine. “I would say there is no way to answer biological questions without computational science nowadays,” says Kellis. “The genome and all of the technologies that it enabled transformed biology into an information-based discipline.”
Dynamic Labs, co-founded by Itai Turbahn '11 and Yoni Goldberg '09, MEng '10, offers “tech for crypto and non-crypto companies alike to create seamless login experiences backed by digital wallets,” reports Marco Quiroz-Gutierrez for Fortune. “The firm’s wallet-based business is twofold,” explains Quiroz-Gutierrez. “It offers a customizable all-in-one service that can either push the crypto wallet technology to the background for less savvy users or put it front and center for Web3 natives.”
Prof. Manolis Kellis speaks with USA Today reporter Josh Peter about the potential impact of AI in developing undetectable performance-enhancing drugs (PEDs). "The most feasible approach would be using generative AI to alter existing PEDs that trigger drug tests in a way that makes those drugs undetectable by current testing technology,” Kellis notes.
Forbes contributor William Haseltine spotlights how MIT researchers have developed a flexible ultrasound patch that can be used to help estimate bladder volume. “The applications for long-term therapeutic and regenerative medicine for the ultrasound patch are innumerable, only to be limited by the imagination of those implementing their use,” writes Haseltine. “Among the most forthcoming are situations where someone may be unable to visit their physician for a medically-administered ultrasound.”
Christian Science Monitor reporter Ira Porter spotlights undergraduate Subin Kim and his experience transferring from community college to MIT through the Transfer Scholars Network, which is aimed at helping community college students find a path to four-year universities. “Every student that we admit, we’re looking for academic excellence and personal excellence,” says Stuart Schmill, dean of MIT admissions and student financial services. “And the students that we’ve brought in from the Transfer Scholar Network and in general from community colleges are remarkable individuals.”
Boston Globe reporters Aaron Pressman and Jon Chesto spotlight Liquid AI, a new startup founded by MIT researchers that is developing an AI system that relies on neural-network models that are “much simpler and require significantly less computer power to train and operate” than generative AI systems. “You need a fraction of the cost of developing generative AI, and the carbon footprint is much lower,” explains Liquid AI CEO Ramin Hasani, a research affiliate at CSAIL. “You get the same capabilities with a much smaller representation.”
Prof. Daniela Rus, director of CSAIL, and research affiliates Ramin Hasani, Mathias Lechner, and Alexander Amini have co-founded Liquid AI, a startup building a general-purpose AI system powered by a liquid neural network, reports Kyle Wiggers for TechCrunch. “Accountability and safety of large AI models is of paramount importance,” says Hasani. “Liquid AI offers more capital efficient, reliable, explainable and capable machine learning models for both domain-specific and generative AI applications."
Researchers from MIT and elsewhere have developed a new AI technique for teaching robots to pack items into a limited space while adhering to a range of constraints, reports Nick Hilden for Scientific American. “We want to have a learning-based method to solve constraints quickly because learning-based [AI] will solve faster, compared to traditional methods,” says graduate student Zhutian “Skye” Yang.
Four faculty members from across MIT - Professors Song Han, Simon Johnson, Yoon Kim and Rosalind Picard - speak with Curiosity Stream about the opportunities and risks posed by the rapid advancements in the field of AI. “We do want to think about which human capabilities we treasure,” says Picard. She adds that during the Covid-19 pandemic, “we saw a lot of loss of people's ability to communicate with one another face-to-face when their world moved online. I think we need to be thoughtful and intentional about what we're building with the technology and whether it's diminishing who we are or enhancing it.”
Forbes contributor Lucio Ribeiro spotlights Andrew Ng MS '98 and Jaime Teevan SM '01, PhD '07 as two of eight “AI superheroes whose work is transforming technology and challenges our understanding of what’s possible.” Ng is the CEO is Landing AI, and “his efforts in educating the masses about AI through platforms like Coursera, which he co-founded, have democratized AI knowledge, bridging the gap between academia and industry,” writes Ribeiro. Teevan’s “work is focused on making AI more accessible and useful to people in their everyday lives.”
Forbes reporter Nancy Wang spotlights Tara Bishop '97 and Eileen Tanghal '97, co-founders of Black Opal Ventures, a venture capital firm focused on health tech. “Tara and Eileen’s story at Black Opal Ventures is a testament to how diversity and innovation can disrupt traditional landscapes,” writes Wang. “Their pioneering strategies and investments herald a new era for healthcare venture capitalism, where diversity and technology converge to create a more inclusive and impactful future.”
Prof. Russ Tedrake and Max Bajracharya '21 MEng '21 speak with TechCrunch reporter Brian Heater about the impact of generative AI on the future of robotics. “Generative AI has the potential to bring revolutionary new capabilities to robotics,” says Tedrake. “Not only are we able to communicate with robots in natural language, but connecting to internet-scale language and image data is giving robots a much more robust understanding and reasoning about the world.”