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Microelectronics projects awarded CHIPS and Science Act funding
MIT and Lincoln Laboratory are participants in four microelectronics proposals selected for funding to the Northeast Microelectronics Coalition (NEMC) Hub. The funding comes from the Microelectronics Commons, a $2 billion initiative of the CHIPS and Science Act to strengthen U.S. leadership in semiconductor manufacturing and innovation. The regional awards are among 33 projects announced as part of a $269 million federal investment.
U.S. Department of Defense (DoD) and White House officials announced the awards during an event on Sept. 18, hosted by the NEMC Hub at MIT Lincoln Laboratory. The NEMC Hub, a division of the Massachusetts Technology Collaborative, leads a network of more than 200 member organizations across the region to enable the lab-to-fab transition of critical microelectronics technologies for the DoD. The NEMC Hub is one of eight regional hubs forming a nationwide chip network under the Microelectronics Commons and is executed through the Naval Surface Warfare Center Crane Division and the National Security Technology Accelerator (NSTXL).
“The $38 million in project awards to the NEMC Hub are a recognition of the capability, capacity, and commitment of our members,” said Mark Halfman, NEMC Hub director. “We have a tremendous opportunity to grow microelectronics lab-to-fab capabilities across the Northeast region and spur the growth of game-changing technologies.”
“We are very pleased to have Lincoln Laboratory be a central part of the vibrant ecosystem that has formed within the Microelectronics Commons program,” said Mark Gouker, assistant head of the laboratory’s Advanced Technology Division and NEMC Hub advisory group representative. “We have made strong connections to academia, startups, DoD contractors, and commercial sector companies through collaborations with our technical staff and by offering our microelectronics fabrication infrastructure to assist in these projects. We believe this tighter ecosystem will be important to future Microelectronics Commons programs as well as other CHIPS and Science Act programs.”
The nearly $38 million award to the NEMC Hub is expected to support six collaborative projects, four of which will involve MIT and/or Lincoln Laboratory.
“These projects promise significant gains in advanced microelectronics technologies,” said Ian A. Waitz, MIT’s vice president for research. “We look forward to working alongside industry and government organizations in the NEMC Hub to strengthen U.S. microelectronics innovation, workforce and education, and lab-to-fab translation.”
The projects selected for funding support key technology areas identified in the federal call for competitive proposals. MIT campus researchers will participate in a project advancing commercial leap-ahead technologies, titled “Advancing DoD High Power Systems: Transition of High Al% AlGaN from Lab to Fab,” and another in the area of 5G/6G, called “Wideband, Scalable MIMO arrays for NextG Systems: From Antennas to Decoders.”
Researchers both at Lincoln Laboratory and on campus will contribute to a quantum technology project called “Community‐driven Hybrid Integrated Quantum‐Photonic Integrated circuits (CHIQPI).”
Lincoln Laboratory researchers will also participate in the “Wideband Same‐Frequency STAR Array Platform Based on Heterogeneous Multi-Domain Self‐Interference Cancellation” project.
The anticipated funding for these four projects follows a $7.7 million grant awarded earlier this year to MIT from the NEMC Hub, alongside an agreement between MIT and Applied Materials, to add advanced nanofabrication equipment and capabilities to MIT.nano.
The funding comes amid construction of the Compound Semiconductor Laboratory – Microsystem Integration Facility (CSL-MIF) at Lincoln Laboratory. The CSL-MIF will complement Lincoln Laboratory’s existing Microelectronics Laboratory, which has remained the U.S. government’s most advanced silicon-based research and fabrication facility for decades. When completed in 2028, the CSL-MIF is expected to play a vital role in the greater CHIPS and Science Act ecosystem.
“Lincoln Laboratory has a long history of developing advanced microelectronics to enable critical national security systems,” said Melissa Choi, Lincoln Laboratory director. “We are excited to embark on these awarded projects, leveraging our microelectronics facilities and partnering with fellow hub members to be at the forefront of U.S. microelectronics innovation.”
Officials who spoke at the Sept. 18 event emphasized the national security and economic imperatives to building a robust microelectronics workforce and innovation network.
“The Microelectronics Commons is an essential part of the CHIPS and Science Act’s whole-of-government approach to strengthen the U.S. microelectronics ecosystem and secure lasting technical leadership in this critical sector,” said Dev Shenoy, the principal director for microelectronics in the Office of the Under Secretary of Defense for Research and Engineering. “I believe in the incredible impact this work will have for American economies, American defense, and the American people.”
“The secret sauce of what made the U.S. the lead innovator in the world for the last 100 years was the coming together of the U.S. government and the public sector, together with the private sector and teaming up with academia and research,” said Amos Hochstein, special presidential coordinator for global infrastructure and energy security at the U.S. Department of State. “That is what enabled us to be the forefront of innovation and technology, and that is what we have to do again.”
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Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to the power of generative AI, you can.
Researchers from MIT and elsewhere created a system that enables users to have an online, text-based conversation with an AI-generated simulation of their potential future self.
Dubbed Future You, the system is aimed at helping young people improve their sense of future self-continuity, a psychological concept that describes how connected a person feels with their future self.
Research has shown that a stronger sense of future self-continuity can positively influence how people make long-term decisions, from one’s likelihood to contribute to financial savings to their focus on achieving academic success.
Future You utilizes a large language model that draws on information provided by the user to generate a relatable, virtual version of the individual at age 60. This simulated future self can answer questions about what someone’s life in the future could be like, as well as offer advice or insights on the path they could follow.
In an initial user study, the researchers found that after interacting with Future You for about half an hour, people reported decreased anxiety and felt a stronger sense of connection with their future selves.
“We don’t have a real time machine yet, but AI can be a type of virtual time machine. We can use this simulation to help people think more about the consequences of the choices they are making today,” says Pat Pataranutaporn, a recent Media Lab doctoral graduate who is actively developing a program to advance human-AI interaction research at MIT, and co-lead author of a paper on Future You.
Pataranutaporn is joined on the paper by co-lead authors Kavin Winson, a researcher at KASIKORN Labs; and Peggy Yin, a Harvard University undergraduate; as well as Auttasak Lapapirojn and Pichayoot Ouppaphan of KASIKORN Labs; and senior authors Monchai Lertsutthiwong, head of AI research at the KASIKORN Business-Technology Group; Pattie Maes, the Germeshausen Professor of Media, Arts, and Sciences and head of the Fluid Interfaces group at MIT, and Hal Hershfield, professor of marketing, behavioral decision making, and psychology at the University of California at Los Angeles. The research will be presented at the IEEE Conference on Frontiers in Education.
A realistic simulation
Studies about conceptualizing one’s future self go back to at least the 1960s. One early method aimed at improving future self-continuity had people write letters to their future selves. More recently, researchers utilized virtual reality goggles to help people visualize future versions of themselves.
But none of these methods were very interactive, limiting the impact they could have on a user.
With the advent of generative AI and large language models like ChatGPT, the researchers saw an opportunity to make a simulated future self that could discuss someone’s actual goals and aspirations during a normal conversation.
“The system makes the simulation very realistic. Future You is much more detailed than what a person could come up with by just imagining their future selves,” says Maes.
Users begin by answering a series of questions about their current lives, things that are important to them, and goals for the future.
The AI system uses this information to create what the researchers call “future self memories” which provide a backstory the model pulls from when interacting with the user.
For instance, the chatbot could talk about the highlights of someone’s future career or answer questions about how the user overcame a particular challenge. This is possible because ChatGPT has been trained on extensive data involving people talking about their lives, careers, and good and bad experiences.
The user engages with the tool in two ways: through introspection, when they consider their life and goals as they construct their future selves, and retrospection, when they contemplate whether the simulation reflects who they see themselves becoming, says Yin.
“You can imagine Future You as a story search space. You have a chance to hear how some of your experiences, which may still be emotionally charged for you now, could be metabolized over the course of time,” she says.
To help people visualize their future selves, the system generates an age-progressed photo of the user. The chatbot is also designed to provide vivid answers using phrases like “when I was your age,” so the simulation feels more like an actual future version of the individual.
The ability to take advice from an older version of oneself, rather than a generic AI, can have a stronger positive impact on a user contemplating an uncertain future, Hershfield says.
“The interactive, vivid components of the platform give the user an anchor point and take something that could result in anxious rumination and make it more concrete and productive,” he adds.
But that realism could backfire if the simulation moves in a negative direction. To prevent this, they ensure Future You cautions users that it shows only one potential version of their future self, and they have the agency to change their lives. Providing alternate answers to the questionnaire yields a totally different conversation.
“This is not a prophesy, but rather a possibility,” Pataranutaporn says.
Aiding self-development
To evaluate Future You, they conducted a user study with 344 individuals. Some users interacted with the system for 10-30 minutes, while others either interacted with a generic chatbot or only filled out surveys.
Participants who used Future You were able to build a closer relationship with their ideal future selves, based on a statistical analysis of their responses. These users also reported less anxiety about the future after their interactions. In addition, Future You users said the conversation felt sincere and that their values and beliefs seemed consistent in their simulated future identities.
“This work forges a new path by taking a well-established psychological technique to visualize times to come — an avatar of the future self — with cutting edge AI. This is exactly the type of work academics should be focusing on as technology to build virtual self models merges with large language models,” says Jeremy Bailenson, the Thomas More Storke Professor of Communication at Stanford University, who was not involved with this research.
Building off the results of this initial user study, the researchers continue to fine-tune the ways they establish context and prime users so they have conversations that help build a stronger sense of future self-continuity.
“We want to guide the user to talk about certain topics, rather than asking their future selves who the next president will be,” Pataranutaporn says.
They are also adding safeguards to prevent people from misusing the system. For instance, one could imagine a company creating a “future you” of a potential customer who achieves some great outcome in life because they purchased a particular product.
Moving forward, the researchers want to study specific applications of Future You, perhaps by enabling people to explore different careers or visualize how their everyday choices could impact climate change.
They are also gathering data from the Future You pilot to better understand how people use the system.
“We don’t want people to become dependent on this tool. Rather, we hope it is a meaningful experience that helps them see themselves and the world differently, and helps with self-development,” Maes says.
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