Institute News: Announcements

James DiCarlo named director of the MIT Quest for Intelligence

by Tristan Davies |

James DiCarlo, the Peter de Florez Professor of Neuroscience, has been appointed to the role of director of the MIT Quest for Intelligence. MIT Quest was launched in 2018 to discover the basis of natural intelligence, create new foundations for machine intelligence, and deliver new tools and technologies for humanity.

As director, DiCarlo will forge new collaborations with researchers within MIT and beyond to accelerate progress in understanding intelligence and developing the next generation of intelligence tools.

“We have discovered and developed surprising new connections between natural and artificial intelligence,” says DiCarlo, currently head of the Department of Brain and Cognitive Sciences (BCS). “The scientific understanding of natural intelligence, and advances in building artificial intelligence with positive real-world impact, are interlocked aspects of a unified, collaborative grand challenge, and MIT must continue to lead the way.”

Aude Oliva, senior research scientist at the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT director of the MIT-IBM Watson AI Lab, will lead industry engagements as director of MIT Quest Corporate. Nicholas Roy, professor of aeronautics and astronautics and a member of CSAIL, will lead the development of systems to deliver on the mission as director of MIT Quest Systems Engineering. Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing, will serve as chair of MIT Quest.

“The MIT Quest’s leadership team has positioned this initiative to spearhead our understanding of natural and artificial intelligence, and I am delighted that Jim is taking on this role,” says Huttenlocher, the Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science.

DiCarlo will step down from his current role as head of BCS, a position he has held for nearly nine years, and will continue as faculty in BCS and as an investigator in the McGovern Institute for Brain Research.

“Jim has been a highly productive leader for his department, the School of Science, and the Institute at large. I’m excited to see the impact he will make in this new role,” says Nergis Mavalvala, dean of the School of Science and the Curtis and Kathleen Marble Professor of Astrophysics.

As department head, DiCarlo oversaw significant progress in the department’s scientific and educational endeavors. Roughly a quarter of current BCS faculty were hired on his watch, strengthening the department’s foundations in cognitive, systems, and cellular and molecular brain science. In addition, DiCarlo developed a new departmental emphasis in computation, deepening BCS’s ties with the MIT Schwarzman College of Computing and other MIT units such as the Center for Brains, Minds and Machines. He also developed and leads an NIH-funded graduate training program in computationally-enabled integrative neuroscience. As a result, BCS is one of the few departments in the world that is attempting to decipher, in engineering terms, how the human mind emerges from the biological components of the brain.

To prepare students for this future, DiCarlo collaborated with BCS Associate Department Head Michale Fee to design and execute a total overhaul of the Course 9 curriculum. In addition, partnering with the Department of Electrical Engineering and Computer Science, BCS developed a new major, Course 6-9 (Computation and Cognition), to fill the rapidly growing interest in this interdisciplinary topic. In only its second year, Course 6-9 already has more than 100 undergraduate majors.

DiCarlo has also worked tirelessly to build a more open, connected, and supportive culture across the entire BCS community in Building 46. In this work, as in everything, DiCarlo sought to bring people together to address challenges collaboratively. He attributes progress to strong partnerships with Li-Huei Tsai, the Picower Professor of Neuroscience in BCS and director of the Picower Institute for Learning and Memory; Robert Desimone, the Doris and Don Berkey Professor in BCS and director of the McGovern Institute for Brain Research; and to the work of dozens of faculty and staff. For example, in collaboration with associate department head Professor Rebecca Saxe, the department has focused on faculty mentorship of graduate students, and, in collaboration with postdoc officer Professor Mark Bear, the department developed postdoc salary and benefit standards. Both initiatives have become models for the Institute. In recent months, DiCarlo partnered with new associate department head Professor Laura Schulz to constructively focus renewed energy and resources on initiatives to address systemic racism and promote diversity, equity, inclusion, and social justice.

“Looking ahead, I share Jim’s vision for the research and educational programs of the department, and for enhancing its cohesiveness as a community, especially with regard to issues of diversity, equity, inclusion, and justice,” says Mavalvala. “I am deeply committed to supporting his successor in furthering these goals while maintaining the great intellectual strength of BCS.”

In his own research, DiCarlo uses a combination of large-scale neurophysiology, brain imaging, optogenetic methods, and high-throughput computational simulations to understand the neuronal mechanisms and cortical computations that underlie human visual intelligence. Working in animal models, he and his research collaborators have established precise connections between the internal workings of the visual system and the internal workings of particular computer vision systems. And they have demonstrated that these science-to-engineering connections lead to new ways to modulate neurons deep in the brain as well as to improved machine vision systems. His lab’s goals are to help develop more human-like machine vision, new neural prosthetics to restore or augment lost senses, new learning strategies, and an understanding of how visual cognition is impaired in agnosia, autism, and dyslexia.

DiCarlo earned both a PhD in biomedical engineering and an MD from The Johns Hopkins University in 1998, and completed his postdoc training in primate visual neurophysiology at Baylor College of Medicine. He joined the MIT faculty in 2002.

A search committee will convene early this year to recommend candidates for the next department head of BCS. DiCarlo will continue to lead the department until that new head is selected.

Stars, brains, and enzymes: a celebration of MIT science

Anne Trafton |

“Our topic tonight, science and discovery, lives at the heart of MIT.” In his welcoming remarks for the first virtual MIT Better World gathering, W. Eric L. Grimson, MIT chancellor for academic advancement, detailed some of the ways MIT excels as a hub of scientific research and innovation. “Institute researchers are plumbing the secrets of the universe; modeling climate at a local, regional, and global scale; striving to understand how brains and bodies give rise to cognition and mind; and racing to find treatments and cures for diseases ranging from the acute, like Covid-19, to the chronic, like cancers and maladies of the aging brain,” said Grimson, who is also the Bernard M. Gordon Professor of Medical Engineering.

Members of the MIT community from around the globe were invited to attend the MIT Better World (Science) event, held online in November, to hear from Institute leaders, faculty, students, and alumni about the pursuit of scientific knowledge. Alumni in more than 80 countries registered to attend, and the evening put a special emphasis on Canada, which is home to a group of alumni and friends who served as virtual hosts, and to which Grimson and all of the opening session speakers captured in the video above have personal ties.

Grimson’s remarks were followed by presentations from the new dean of the MIT School of Science, Nergis Mavalvala; as well as Rebecca Saxe, the John W. Jarve (1978) Professor in Brain and Cognitive Sciences and associate investigator at the McGovern Institute for Brain Research; and microbiology PhD student Linda Zhong-Johnson.

Mavalvala, the Curtis (1963) and Kathleen Marble Professor of Astrophysics, described how she and colleagues have worked to improve the sensitivity of instruments used to detect gravitational waves through LIGO—the landmark research endeavor that has revealed, among other recent discoveries, that colliding neutron stars are the “factories” in which heavy elements like gold and platinum are manufactured. Having begun the role of School of Science dean this fall, Mavalvala now takes joy in enabling discoveries across the MIT community, including those focused on our own corner of the universe. “It’s a vast world out there, and for us to make a better world, we must first understand that world. At MIT, that’s just what we do.”

Saxe, who uses brain imaging to study human social cognition, described prescient experiments on social isolation conducted by her lab between 2017 and 2019. “Sometimes we do science just out of curiosity,” said Saxe as she explained why she, former postdoc Livia Tomova, and fellow researchers pursued a project with uncertain applications — only to find themselves writing what Saxe now calls “the most timely and relevant paper in my life” in March, just as the Covid-19 pandemic triggered widespread isolation measures.

The third speaker, Linda Zhong-Johnson, discussed her PhD research in the labs of Anthony J. Sinskey, professor of biology, and Christopher A. Voigt, the Daniel I.C. Wang Professor of Advanced Biotechnology. Her goal is to reduce the amount of plastic in landfills and oceans by studying enzymes that could digest polyethylene terephthalate, or PET, the plastic used to make most water bottles. “We’re getting closer to the answer,” she said. “I’m grateful to be at MIT, where we have the mandate and resources to keep exploring.”

More virtual MIT Better World events on the topics of health and sustainability are planned for this coming February and March. Meanwhile, watch the full session (above) and a range of breakout sessions on topics such as the politics of molecular medicine and the Mars 2020 mission, and learn more about the MIT Campaign for a Better World at betterworld.mit.edu.

Two MIT Brain and Cognitive Sciences faculty members earn funding from the G. Harold and Leila Y. Mathers Foundation

by David Orenstein |

Two MIT neuroscientists have received grants from the G. Harold and Leila Y. Mathers Foundation to screen for genes that could help brain cells withstand Parkinson’s disease and to map how gene expression changes in the brain in response to drugs of abuse.

Myriam Heiman, an associate professor in MIT’s Department of Brain and Cognitive Sciences and a core member of the Picower Institute for Learning and Memory and the Broad Institute of MIT and Harvard, and Alan Jasanoff, who is also a professor in biological engineering, brain and cognitive sciences, nuclear science and engineering and an associate investigator at the McGovern Institute for Brain Research, each received three-year awards that formally begin January 1, 2021.

Jasanoff, who also directs MIT’s Center for Neurobiological Engineering, is known for developing sensors that monitor molecular hallmarks of neural activity in the living brain, in real time, via noninvasive MRI brain scanning. One of the MRI-detectable sensors that he has developed is for dopamine, a neuromodulator that is key to learning what behaviors and contexts lead to reward. Addictive drugs artificially drive dopamine release, thereby hijacking the brain’s reward prediction system. Studies have shown that dopamine and drugs of abuse activate gene transcription in specific brain regions, and that this gene expression changes as animals are repeatedly exposed to drugs. Despite the important implications of these neuroplastic changes for the process of addiction, in which drug-seeking behaviors become compulsive, there are no effective tools available to measure gene expression across the brain in real time.

Cerebral vasculature in mouse brain. The Jasanoff lab hopes to develop a method for mapping gene expression the brain with related labeling characteristics .
Image: Alan Jasanoff

With the new Mathers funding, Jasanoff is developing new MRI-detectable sensors for gene expression. With these cutting-edge tools, Jasanoff proposes to make an activity atlas of how the brain responds to drugs of abuse, both upon initial exposure and over repeated doses that simulate the experiences of drug addicted individuals.

“Our studies will relate drug-induced brain activity to longer term changes that reshape the brain in addiction,” says Jasanoff. “We hope these studies will suggest new biomarkers or treatments.”

Dopamine-producing neurons in a brain region called the substantia nigra are known to be especially vulnerable to dying in Parkinson’s disease, leading to the severe motor difficulties experienced during the progression of the incurable, chronic neurodegenerative disorder. The field knows little about what puts specific cells at such dire risk, or what molecular mechanisms might help them resist the disease. In her research on Huntington’s disease, another incurable neurodegenerative disorder in which a specific neuron population in the striatum is especially vulnerable, Heiman has been able to use an innovative method her lab pioneered to discover genes whose expression promotes neuron survival, yielding potential new drug targets. The technique involves conducting an unbiased screen in which her lab knocks out each of the 22,000 genes expressed in the mouse brain one by one in neurons in disease model mice and healthy controls. The technique allows her to determine which genes, when missing, contribute to neuron death amid disease and therefore which genes are particularly needed for survival. The products of those genes can then be evaluated as drug targets. With the new Mathers award, Heiman plans to apply the method to study Parkinson’s disease.

An immunofluorescence image taken in a brain region called the substantia nigra (SN) highlights tyrosine hydroxylase, a protein expressed by dopamine neurons. This type of neuron in the SN is especially vulnerable to neurodegeneration in Parkinson’s disease. Image: Preston Ge/Heiman Lab

“There is currently no molecular explanation for the brain cell loss seen in Parkinson’s disease or a cure for this devastating disease,” Heiman said. “This award will allow us to perform unbiased, genome-wide genetic screens in the brains of mouse models of Parkinson’s disease, probing for genes that allow brain cells to survive the effects of cellular perturbations associated with Parkinson’s disease. I’m extremely grateful for this generous support and recognition of our work from the Mathers Foundation, and hope that our study will elucidate new therapeutic targets for the treatment and even prevention of Parkinson’s disease.”

Storytelling brings MIT neuroscience community together

by Julie Pryor |

When the coronavirus pandemic shut down offices, labs, and classrooms across the MIT campus last spring, many members of the MIT community found it challenging to remain connected to one another in meaningful ways. Motivated by a desire to bring the neuroscience community back together, the McGovern Institute hosted a virtual storytelling competition featuring a selection of postdocs, grad students, and staff from across the institute.

“This has been an unprecedented year for us all,” says McGovern Institute Director Robert Desimone. “It has been twenty years since Pat and Lore McGovern founded the McGovern Institute, and despite the challenges this anniversary year has brought to our community, I have been inspired by the strength and perseverance demonstrated by our faculty, postdocs, students and staff. The resilience of this neuroscience community – and MIT as a whole – is indeed something to celebrate.”

The McGovern Institute had initially planned to hold a large 20th anniversary celebration in the atrium of Building 46 in the fall of 2020, but the pandemic made a gathering of this size impossible. The institute instead held a series of virtual events, including the November 12 story slam on the theme of resilience.

20 Years of Discovery

by Robert Desimone |

 

McGovern Institute Director Robert Desimone.

Pat and Lore McGovern founded the McGovern Institute 20 years ago with a dual mission – to understand the brain, and to apply that knowledge to help the many people affected by brain disorders. Some of the amazing developments of the past 20 years, such as CRISPR, may seem entirely unexpected and “out of the blue.” But they were all built on a foundation of basic research spanning many years. With the incredible foundation we are building right now, I feel we are poised for many more “unexpected” discoveries in the years ahead.

I predict that in 20 years, we will have quantitative models of brain function that will not only explain how the brain gives rise to at least some aspects of our mind, but will also give us a new mechanistic understanding of brain disorders. This, in turn, will lead to new types of therapies, in what I imagine to be a post-pharmaceutical era of the future. I have no doubt that these same brain models will inspire new educational approaches for our children, and will be incorporated into whatever replaces my automobile, and iPhone, in 2040. I encourage you to read some other predictions from our faculty.

Our cutting-edge work depends not only on our stellar line up of faculty, but the more than 400 postdocs, graduate students, undergraduates, summer students, and staff who make up our community.

For this reason, I am particularly delighted to share with you McGovern’s rising stars — 20 young scientists from each of our labs — who represent the next generation of neuroscience.

And finally, we remain deeply indebted to our supporters for funding our research, including ongoing support from the Patrick J. McGovern Foundation. In recent years, more than 40% of our annual research funding has come from private individuals and foundations. This support enables critical seed funding for new research projects, the development of new technologies, our new research into autism and psychiatric disorders, and fellowships for young scientists just starting their careers. Our annual fund supporters have made possible more than 42 graduate fellowships, and you can read about some of these fellows on our website.

I hope that as you visit our website and read the pages of our special anniversary issue of Brain Scan, you will feel as optimistic as I do about our future.

Robert Desimone
Director, McGovern Institute
Doris and Don Berkey Professor of Neuroscience

New molecular therapeutics center established at MIT’s McGovern Institute

by Julie Pryor |

More than one million Americans are diagnosed with a chronic brain disorder each year, yet effective treatments for most complex brain disorders are inadequate or even nonexistent.

A major new research effort at MIT’s McGovern Institute aims to change how we treat brain disorders by developing innovative molecular tools that precisely target dysfunctional genetic, molecular, and circuit pathways.

The K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience was established at MIT through a $28 million gift from philanthropist Lisa Yang and MIT alumnus Hock Tan ’75. Yang is a former investment banker who has devoted much of her time to advocacy for individuals with disabilities and autism spectrum disorders. Tan is President and CEO of Broadcom, a global technology infrastructure company. This latest gift brings Yang and Tan’s total philanthropy to MIT to more than $72 million.

Lisa Yang (center) and MIT alumnus Hock Tan ’75 with their daughter Eva (far left) pictured at the opening of the Hock E. Tan and K. Lisa Yang Center for Autism Research in 2017. Photo: Justin Knight

“In the best MIT spirit, Lisa and Hock have always focused their generosity on insights that lead to real impact,” says MIT President L. Rafael Reif. “Scientifically, we stand at a moment when the tools and insights to make progress against major brain disorders are finally within reach. By accelerating the development of promising treatments, the new center opens the door to a hopeful new future for all those who suffer from these disorders and those who love them. I am deeply grateful to Lisa and Hock for making MIT the home of this pivotal research.”

Engineering with precision

Research at the K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience will initially focus on three major lines of investigation: genetic engineering using CRISPR tools, delivery of genetic and molecular cargo across the blood-brain barrier, and the translation of basic research into the clinical setting. The center will serve as a hub for researchers with backgrounds ranging from biological engineering and genetics to computer science and medicine.

“Developing the next generation of molecular therapeutics demands collaboration among researchers with diverse backgrounds,” says Robert Desimone, McGovern Institute Director and Doris and Don Berkey Professor of Neuroscience at MIT. “I am confident that the multidisciplinary expertise convened by this center will revolutionize how we improve our health and fight disease in the coming decade. Although our initial focus will be on the brain and its relationship to the body, many of the new therapies could have other health applications.”

There are an estimated 19,000 to 22,000 genes in the human genome and a third of those genes are active in the brain–the highest proportion of genes expressed in any part of the body.

Variations in genetic code have been linked to many complex brain disorders, including depression and Parkinson’s. Emerging genetic technologies, such as the CRISPR gene editing platform pioneered by McGovern Investigator Feng Zhang, hold great potential in both targeting and fixing these errant genes. But the safe and effective delivery of this genetic cargo to the brain remains a challenge.

Researchers within the new Yang-Tan Center will improve and fine-tune CRISPR gene therapies and develop innovative ways of delivering gene therapy cargo into the brain and other organs. In addition, the center will leverage newly developed single cell analysis technologies that are revealing cellular targets for modulating brain functions with unprecedented precision, opening the door for noninvasive neuromodulation as well as the development of medicines. The center will also focus on developing novel engineering approaches to delivering small molecules and proteins from the bloodstream into the brain. Desimone will direct the center and some of the initial research initiatives will be led by Associate Professor of Materials Science and Engineering Polina Anikeeva; Ed Boyden, the Y. Eva Tan Professor in Neurotechnology at MIT; Guoping Feng, the James W. (1963) and Patricia T. Poitras Professor of Brain and Cognitive Sciences at MIT; and Feng Zhang, James and Patricia Poitras Professor of Neuroscience at MIT.

Building a research hub

“My goal in creating this center is to cement the Cambridge and Boston region as the global epicenter of next-generation therapeutics research. The novel ideas I have seen undertaken at MIT’s McGovern Institute and Broad Institute of MIT and Harvard leave no doubt in my mind that major therapeutic breakthroughs for mental illness, neurodegenerative disease, autism and epilepsy are just around the corner,” says Yang.

Center funding will also be earmarked to create the Y. Eva Tan Fellows program, named for Tan and Yang’s daughter Eva, which will support fellowships for young neuroscientists and engineers eager to design revolutionary treatments for human diseases.

“We want to build a strong pipeline for tomorrow’s scientists and neuroengineers,” explains Hock Tan. “We depend on the next generation of bright young minds to help improve the lives of people suffering from chronic illnesses, and I can think of no better place to provide the very best education and training than MIT.”

The molecular therapeutics center is the second research center established by Yang and Tan at MIT. In 2017, they launched the Hock E. Tan and K. Lisa Yang Center for Autism Research, and, two years later, they created a sister center at Harvard Medical School, with the unique strengths of each institution converging toward a shared goal: understanding the basic biology of autism and how genetic and environmental influences converge to give rise to the condition, then translating those insights into novel treatment approaches.

All tools developed at the molecular therapeutics center will be shared globally with academic and clinical researchers with the goal of bringing one or more novel molecular tools to human clinical trials by 2025.

“We are hopeful that our centers, located in the heart of the Cambridge-Boston biotech ecosystem, will spur further innovation and fuel critical new insights to our understanding of health and disease,” says Yang.

 

How general anesthesia reduces pain

by Sabbi Lall |

General anesthesia is medication that suppresses pain and renders patients unconscious during surgery, but whether pain suppression is simply a side effect of loss of consciousness has been unclear. Fan Wang and colleagues have now identified the circuits linked to pain suppression under anesthesia in mouse models, showing that this effect is separable from the unconscious state itself.

“Existing literature suggests that the brain may contain a switch that can turn off pain perception,” explains Fan Wang, a professor at Duke University and lead author of the study. “I had always wanted to find this switch, and it occurred to me that general anesthetics may activate this switch to produce analgesia.”

Wang, who will join the McGovern Institute in January 2021, set out to test this idea with her student, Thuy Hua, and postdoc, Bin Chen.

Pain suppressor

Loss of pain, or analgesia, is an important property of anesthetics that helps to make surgical and invasive medical procedures humane and bearable. In spite of their long use in the medical world, there is still very little understanding of how anesthetics work. It has generally been assumed that a side effect of loss of consciousness is analgesia, but several recent observations have brought this idea into question, and suggest that changes in consciousness might be separable from pain suppression.

A key clue that analgesia is separable from general anesthesia comes from the accounts of patients that regain consciousness during surgery. After surgery, these patients can recount conversations between staff or events that occurred in the operating room, despite not feeling any pain. In addition, some general anesthetics, such as ketamine, can be deployed at low concentrations for pain suppression without loss of consciousness.

Following up on these leads, Wang and colleagues set out to uncover which neural circuits might be involved in suppressing pain during exposure to general anesthetics. Using CANE, a procedure developed by Wang that can detect which neurons activate in response to an event, Wang discovered a new population of GABAergic neurons activated by general anesthetic in the mouse central amygdala.

These neurons become activated in response to different anesthetics, including ketamine, dexmedetomidine, and isoflurane. Using optogenetics to manipulate the activity state of these neurons, Wang and her lab found that they led to marked changes in behavioral responses to painful stimuli.

“The first time we used optogenetics to turn on these cells, a mouse that was in the middle of taking care of an injury simply stopped and started walked around with no sign of pain,” Wang explains.

Specifically, activating these cells blocks pain in multiple models and tests, whereas inhibiting these neurons rendered mice aversive to gentle touch — suggesting that they are involved in a newly uncovered central pain circuit.

The study has implications for both anesthesia and pain. It shows that general anesthetics have complex, multi-faceted effects and that the brain may contain a central pain suppression system.

“We want to figure out how diverse general anesthetics activate these neurons,” explains Wang. “That way we can find compounds that can specifically activate these pain-suppressing neurons without sedation. We’re now also testing whether placebo analgesia works by activating these same central neurons.”

The study also has implications for addiction as it may point to an alternative system for central pain suppression that could be a target of drugs that do not have the devastating side effects of opioids.

Fan Wang joins the McGovern Institute

by Sabbi Lall |

The McGovern Institute is pleased to announce that Fan Wang, currently a Professor at Duke University, will be joining its team of investigators in 2021. Wang is well-known for her work on sensory perception, pain, and behavior. She takes a broad, and very practical approach to these questions, knowing that sensory perception has broad implications for biomedicine when it comes to pain management, addiction, anesthesia, and hypersensitivity.

“McGovern is a dream place for doing innovative and transformative neuroscience.” – Fan Wang

“I am so thrilled that Fan is coming to the McGovern Institute,” says Robert Desimone, director of the institute and the Doris and Don Berkey Professor of Neuroscience at MIT. “I’ve followed her work for a number of years, and she is making inroads into questions that are relevant to a number of societal problems, such as how we can turn off the perception of chronic pain.”

Wang brings with her a range of techniques developed in her lab, including CANE, which precisely highlights neurons that become activated in response to a stimulus. CANE is highlighting new neuronal subtypes in long-studied brain regions such as the amygdala, and recently elucidated previously undefined neurons in the lateral parabrachial nucleus involved in pain processing.

“I am so excited to join the McGovern Institute,” says Wang. “It is a dream place for doing innovative and transformative neuroscience. McGovern researchers are known for using the most cutting-edge, multi-disciplinary technologies to understand how the brain works. I can’t wait to join the team.”

Wang earned her PhD in 1998 with Richard Axel at Columbia University, subsequently conducting postdoctoral research at Stanford University with Mark Tessier-Lavigne. Wang joined Duke University as a Professor in the Department of Neurobiology in 2003, and was later appointed the Morris N. Broad Distinguished Professor of Neurobiology at Duke University School of Medicine. Wang will join the McGovern Institute as an investigator in January 2021.

National Science Foundation announces MIT-led Institute for Artificial Intelligence and Fundamental Interactions

by Laboratory for Nuclear Science |

The U.S. National Science Foundation (NSF) announced today an investment of more than $100 million to establish five artificial intelligence (AI) institutes, each receiving roughly $20 million over five years. One of these, the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), will be led by MIT’s Laboratory for Nuclear Science (LNS) and become the intellectual home of more than 25 physics and AI senior researchers at MIT and Harvard, Northeastern, and Tufts universities.

By merging research in physics and AI, the IAIFI seeks to tackle some of the most challenging problems in physics, including precision calculations of the structure of matter, gravitational-wave detection of merging black holes, and the extraction of new physical laws from noisy data.

“The goal of the IAIFI is to develop the next generation of AI technologies, based on the transformative idea that artificial intelligence can directly incorporate physics intelligence,” says Jesse Thaler, an associate professor of physics at MIT, LNS researcher, and IAIFI director.  “By fusing the ‘deep learning’ revolution with the time-tested strategies of ‘deep thinking’ in physics, we aim to gain a deeper understanding of our universe and of the principles underlying intelligence.”

IAIFI researchers say their approach will enable making groundbreaking physics discoveries, and advance AI more generally, through the development of novel AI approaches that incorporate first principles from fundamental physics.

“Invoking the simple principle of translational symmetry — which in nature gives rise to conservation of momentum — led to dramatic improvements in image recognition,” says Mike Williams, an associate professor of physics at MIT, LNS researcher, and IAIFI deputy director. “We believe incorporating more complex physics principles will revolutionize how AI is used to study fundamental interactions, while simultaneously advancing the foundations of AI.”

In addition, a core element of the IAIFI mission is to transfer their technologies to the broader AI community.

“Recognizing the critical role of AI, NSF is investing in collaborative research and education hubs, such as the NSF IAIFI anchored at MIT, which will bring together academia, industry, and government to unearth profound discoveries and develop new capabilities,” says NSF Director Sethuraman Panchanathan. “Just as prior NSF investments enabled the breakthroughs that have given rise to today’s AI revolution, the awards being announced today will drive discovery and innovation that will sustain American leadership and competitiveness in AI for decades to come.”

Research in AI and fundamental interactions

Fundamental interactions are described by two pillars of modern physics: at short distances by the Standard Model of particle physics, and at long distances by the Lambda Cold Dark Matter model of Big Bang cosmology. Both models are based on physical first principles such as causality and space-time symmetries.  An abundance of experimental evidence supports these theories, but also exposes where they are incomplete, most pressingly that the Standard Model does not explain the nature of dark matter, which plays an essential role in cosmology.

AI has the potential to help answer these questions and others in physics.

For many physics problems, the governing equations that encode the fundamental physical laws are known. However, undertaking key calculations within these frameworks, as is essential to test our understanding of the universe and guide physics discovery, can be computationally demanding or even intractable. IAIFI researchers are developing AI for such first-principles theory studies, which naturally require AI approaches that rigorously encode physics knowledge.

“My group is developing new provably exact algorithms for theoretical nuclear physics,” says Phiala Shanahan, an assistant professor of physics and LNS researcher at MIT. “Our first-principles approach turns out to have applications in other areas of science and even in robotics, leading to exciting collaborations with industry partners.”

Incorporating physics principles into AI could also have a major impact on many experimental applications, such as designing AI methods that are more easily verifiable. IAIFI researchers are working to enhance the scientific potential of various facilities, including the Large Hadron Collider (LHC) and the Laser Interferometer Gravity Wave Observatory (LIGO).

“Gravitational-wave detectors are among the most sensitive instruments on Earth, but the computational systems used to operate them are mostly based on technology from the previous century,” says Principal Research Scientist Lisa Barsotti of the MIT Kavli Institute for Astrophysics and Space Research. “We have only begun to scratch the surface of what can be done with AI; just enough to see that the IAIFI will be a game-changer.”

The unique features of these physics applications also offer compelling research opportunities in AI more broadly. For example, physics-informed architectures and hardware development could lead to advances in the speed of AI algorithms, and work in statistical physics is providing a theoretical foundation for understanding AI dynamics.

“Physics has inspired many time-tested ideas in machine learning: maximizing entropy, Boltzmann machines, and variational inference, to name a few,” says Pulkit Agrawal, an assistant professor of electrical engineering and computer science at MIT, and researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL). “We believe that close interaction between physics and AI researchers will be the catalyst that leads to the next generation of machine learning algorithms.”

Cultivating early-career talent

AI technologies are advancing rapidly, making it both important and challenging to train junior researchers at the intersection of physics and AI. The IAIFI aims to recruit and train a talented and diverse group of early-career researchers, including at the postdoc level through its IAIFI Fellows Program.

“By offering our fellows their choice of research problems, and the chance to focus on cutting-edge challenges in physics and AI, we will prepare many talented young scientists to become future leaders in both academia and industry,” says MIT professor of physics Marin Soljacic of the Research Laboratory of Electronics (RLE).

IAIFI researchers hope these fellows will spark interdisciplinary and multi-investigator collaborations, generate new ideas and approaches, translate physics challenges beyond their native domains, and help develop a common language across disciplines. Applications for the inaugural IAIFI fellows are due in mid-October.

Another related effort spearheaded by Thaler, Williams, and Alexander Rakhlin, an associate professor of brain and cognitive science at MIT and researcher in the Institute for Data, Systems, and Society (IDSS), is the development of a new interdisciplinary PhD program in physics, statistics, and data science, a collaborative effort between the Department of Physics and the Statistics and Data Science Center.

“Statistics and data science are among the foundational pillars of AI. Physics joining the interdisciplinary doctoral program will bring forth new ideas and areas of exploration, while fostering a new generation of leaders at the intersection of physics, statistics, and AI,” says Rakhlin.

Education, outreach, and partnerships 

The IAIFI aims to cultivate “human intelligence” by promoting education and outreach. For example, IAIFI members will contribute to establishing a MicroMasters degree program at MIT for students from non-traditional backgrounds.

“We will increase the number of students in both physics and AI from underrepresented groups by providing fellowships for the MicroMasters program,” says Isaac Chuang, professor of physics and electrical engineering, senior associate dean for digital learning, and RLE researcher at MIT. “We also plan on working with undergraduate MIT Summer Research Program students, to introduce them to the tools of physics and AI research that they might not have access to at their home institutions.”

The IAIFI plans to expand its impact via numerous outreach efforts, including a K-12 program in which students are given data from the LHC and LIGO and tasked with rediscovering the Higgs boson and gravitational waves.

“After confirming these recent Nobel Prizes, we can ask the students to find tiny artificial signals embedded in the data using AI and fundamental physics principles,” says assistant professor of physics Phil Harris, an LNS researcher at MIT. “With projects like this, we hope to disseminate knowledge about — and enthusiasm for — physics, AI, and their intersection.”

In addition, the IAIFI will collaborate with industry and government to advance the frontiers of both AI and physics, as well as societal sectors that stand to benefit from AI innovation. IAIFI members already have many active collaborations with industry partners, including DeepMind, Microsoft Research, and Amazon.

“We will tackle two of the greatest mysteries of science: how our universe works and how intelligence works,” says MIT professor of physics Max Tegmark, an MIT Kavli Institute researcher. “Our key strategy is to link them, using physics to improve AI and AI to improve physics. We’re delighted that the NSF is investing the vital seed funding needed to launch this exciting effort.”

Building new connections at MIT and beyond

Leveraging MIT’s culture of collaboration, the IAIFI aims to generate new connections and to strengthen existing ones across MIT and beyond.

Of the 27 current IAIFI senior investigators, 16 are at MIT and members of the LNS, RLE, MIT Kavli Institute, CSAIL, and IDSS. In addition, IAIFI investigators are members of related NSF-supported efforts at MIT, such as the Center for Brains, Minds, and Machines within the McGovern Institute for Brain Research and the MIT-Harvard Center for Ultracold Atoms.

“We expect a lot of creative synergies as we bring physics and computer science together to study AI,” says Bill Freeman, the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science and researcher in CSAIL. “I’m excited to work with my physics colleagues on topics that bridge these fields.”

More broadly, the IAIFI aims to make Cambridge, Massachusetts, and the surrounding Boston area a hub for collaborative efforts to advance both physics and AI.

“As we teach in 8.01 and 8.02, part of what makes physics so powerful is that it provides a universal language that can be applied to a wide range of scientific problems,” says Thaler. “Through the IAIFI, we will create a common language that transcends the intellectual borders between physics and AI to facilitate groundbreaking discoveries.”