GBH reporter Renuka Balakrishnan spotlights “True or False,” a game featured in the MIT Museum’s “AI: Mind the Gap” exhibit, which invites visitors to guess the difference between a real and deepfake video. The exhibit “provides tips visitors can use outside the walls of the museum to improve media literacy in real life,” writes Balakrishnan.
Forbes reporter Craig Smith spotlights Prof. Regina Barzilay for her work using her personal health experience to develop transformative medical technology. In response to her breast cancer diagnosis, Barzilay “developed a deep learning model that analyzes mammography images to predict breast cancer risk up to five years in advance,” writes Smith.
Prof. Armando Solar-Lezama and Prof. Daniela Rus, director of CSAIL, speak with CNBC reporter Trevor Laurence Jockims about the impact of AI in the workforce. “These transitions are about efficiency, but also about trust and transparency: workers will need to trust that companies aren’t simply using AI as a cover for cost-cutting,” says Rus.
Prof. Jonathan How and graduate student Yi-Hsuan (Nemo) Hsiao speak with Tech Briefs reporter Andrew Corselli about their latest work developing an aerial microrobot that is “agile enough complete 10 consecutive somersaults in 11 seconds, even when wind disturbances threatened to push it off course.” Hsiao explains that: “This work demonstrates that soft and microrobots, traditionally limited in speed, can now leverage advanced control algorithms to achieve agility approaching that of natural insects and larger robots, opening up new opportunities for multimodal locomotion.”
Institute Prof. Daron Acemoglu speaks with Carl Higbie of Newsmax about the long-term profitability of new AI technologies, noting that AI's long-term success will ultimately be decided not by technological promise, but by whether AI tools can deliver sustainable profits. "Integrating AI actually is very difficult," Acemoglu explains. "You need to understand your organization, what your employees really add, and then bring AI to help them. Rote automation is not going to work."
Prof. Daron Acemoglu speaks with New York Times reporter Patricia Cohen about various factors influencing the global economy, including “the revolution in artificial intelligence, rapidly aging populations, climate change, and a worldwide turn against liberal democracy and a rules-based international order.” Acemoglu explains that: “We are living through a singularly turbulent time.”
A new study co-authored by Prof. Lawrence Schmidt examining AI and job losses found that “AI can successfully complete many of a worker’s job responsibilities but not all,” reports Pattie Hunt Sinacole for Boston.com. “About 14% of roles within a company can be performed by AI, according to Schmidt’s research. However, AI is less effective in tasks where critical thinking may be required,” Hunt Sinacole explains.
Luke Hobson, assistant director of Industrial Design for MIT xPRO, speaks with Inside Higher Ed reporter Emma Whitford about safe and creative ways to use AI technology in the classroom. “For so long, online courses have been the same old, same old—essays and multiple choice questions,” says Hobson. “Now it’s like, ‘Okay, let’s elevate this. Let’s really make this into a whole new type of learning experience to make it better.”
Lila Sciences, a startup co-founded by Prof. Rafael Gómez-Bombarelli, is developing new platforms aimed at enabling AI-driven laboratories to accelerate materials discovery for energy, sustainability, and computing, writes David Rotman for Technology Review. “If they succeed, these companies could shorten the discovery process from decades to a few years or less,” Rotman notes.
MIT researchers have developed a deep-learning model “capable of predicting the precise movements, divisions, and restructuring of thousands of cells during the embryo’s transition from a simple cluster to a complex organism,” reports Mrigakshi Dixit for Interesting Engineering. “This model currently provides a sneak peek into the fruit fly’s earliest developmental stage,” explains Dixit. “In the future, it could be used to predict how more complex tissues, organs, and organisms develop.”
Prof. Daron Acemoglu spoke at the City University Graduate Center’s panel discussion about the development of AI in the workforce. Acemoglu says “[AI could take] very different directions, and which direction we choose is going to have great consequences in terms of its labor market impact.”
Prof. James Collins and his colleagues are using AI to develop new compounds to combat the growing problem of antibiotic resistant bacteria, reports Lisa M. Krieger for the San Francisco Chronicle. Thus far, “Collins and his colleagues have synthesized several compounds that combat hard-to-treat infections of gonorrhea and MRSA,” writes Krieger. “These techniques are also being harnessed to fight diseases, like cancer, lupus and arthritis.”
Prof. James Collins speaks with Financial Times reporter Patrick Temple-West about his work using AI to design new antibiotic compounds to combat drug-resistant bacteria. “At present, the [AI] models are doing quite well at designing compounds that can attack in a Petri dish,” says Collins.
Two new research papers by scientists from MIT and other institutions find that AI chatbots are successful at shifting the political beliefs of voters, and that the “most persuasive chatbots are those that share lots of facts, although the most information-dense bots also dole out the most inaccurate claims,” reports Sarah Kuta for Smithsonian Magazine. “If you need a million facts, you eventually are going to run out of good ones and so, to fill your fact quota, you’re going to have to put in some not-so-good ones,” says Visiting Prof. David Rand.
Fox Business host Stuart Varney spotlights MIT’s new Artificial Intelligence and Decision Making (AI+D) major, which has quickly become, “the second most popular undergrad major at MIT.”