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Hariri Institute for Computing, Boston University
United States
Приєднався 5 кві 2013
An incubator and convergence accelerator in a university setting, the Rafik B. Hariri Institute for Computing and Computational Science & Engineering initiates research convergence and accelerates integrated initiatives with social impact at the nexus of the computational and data sciences.
It achieves this mission by promoting discovery and innovations across a broad set of disciplines, inspired by challenges in engineering; social, health and management sciences; and the arts. Through the use of computational and data-driven approaches, diverse groups of faculty, students, and staff work together to develop innovative methodologies and transformational research products.
A federated entity at the crossroads of computational research, the Hariri Institute includes a number of centers and initiatives that work in collaboration to advance the Institute's ambitious research portfolio.
Please consider subscribing to keep up to date on our newest developments!
It achieves this mission by promoting discovery and innovations across a broad set of disciplines, inspired by challenges in engineering; social, health and management sciences; and the arts. Through the use of computational and data-driven approaches, diverse groups of faculty, students, and staff work together to develop innovative methodologies and transformational research products.
A federated entity at the crossroads of computational research, the Hariri Institute includes a number of centers and initiatives that work in collaboration to advance the Institute's ambitious research portfolio.
Please consider subscribing to keep up to date on our newest developments!
Predicting Alzheimer's Disease with Yannis Paschalidis
Boston University researchers have developed a new Artificial Intelligence model that predicts the likelihood of developing Alzheimer's Disease within six years-just by analyzing a patient’s speech. Study results were published today in the leading peer-reviewed journal "Alzheimer’s & Dementia: The Journal of the Alzheimer's Association®"
“If you think about many other chronic diseases including diabetes, hypertension, even cancer, there are early diagnostic procedures and even predictive models used for prognosis. This has not been the case for Alzheimer’s disease. Our study makes an important step in that direction.”
--Yannis Paschalidis, lead author, director of Hariri Institute for Computing, Boston University and distinguished professor at the Boston University College of Engineering.
By relying only on speech-to-text modeling and basic demographic data to achieve highly predictive results, this novel method offers the potential for developing inexpensive and easy-to-use screening tools, democratizing access to this type of screening.
Learn more in The Brink story: lnkd.in/gYs2qKiF
#NaturalLanguageProcessing #NLP #LLMs #MachineLearning #ML #AI #ArtificialIntelligence #Health #Alzheimers #alzheimersawareness #predictivemodeling #neuroscience #bostonuniversity
“If you think about many other chronic diseases including diabetes, hypertension, even cancer, there are early diagnostic procedures and even predictive models used for prognosis. This has not been the case for Alzheimer’s disease. Our study makes an important step in that direction.”
--Yannis Paschalidis, lead author, director of Hariri Institute for Computing, Boston University and distinguished professor at the Boston University College of Engineering.
By relying only on speech-to-text modeling and basic demographic data to achieve highly predictive results, this novel method offers the potential for developing inexpensive and easy-to-use screening tools, democratizing access to this type of screening.
Learn more in The Brink story: lnkd.in/gYs2qKiF
#NaturalLanguageProcessing #NLP #LLMs #MachineLearning #ML #AI #ArtificialIntelligence #Health #Alzheimers #alzheimersawareness #predictivemodeling #neuroscience #bostonuniversity
Переглядів: 49
Відео
"Payload Enhancement" Talks
Переглядів 24521 день тому
Space Travel with Earth Wisdom FRP Symposium 3:00pm - 4:00pm: “Payload enhancement” Talks Moderator: Ilija Dukovski, Research Associate Professor, Bioinformatics, CDS Ecology, botany, biology, and space science experts share their research, experience, and thoughts on space exploration and sustainability. Speakers: Dr. Christopher S. Moore, Smithsonian Astrophysicist, Astronomy Department Resea...
"Ignition" Panel
Переглядів 9121 день тому
Space Travel with Earth Wisdom FRP Symposium 4:30pm - 5:30pm: “Ignition” Panel Moderator: Marianna Felici, Research Scientist, Center for Space Physics, CAS How do machine learning, artificial intelligence, virtual reality, and technology fire up the science presented, and beyond? In a panel rendez-vous between academia and industry, audience, panelists, and speakers canvass space travel with t...
"On the Launch Pad" Talks
Переглядів 9921 день тому
Space Travel with Earth Wisdom FRP Symposium 1:00pm - 2:30pm: “On the launch pad” Talks Moderator: Marianna Felici, Research Scientist, Center for Space Physics, CAS” Learn how Boston University researchers support NASA’s plans to land humans on Mars in the 2030s by harnessing the power of microbes and producing novel softwares for navigating the Martian environment, while supporting the fight ...
Constrained Reinforcement Learning: Alejandro Ribeiro
Переглядів 57Місяць тому
Speaker: Alejandro Ribeiro, Professor, Electrical and Systems Engineering (ESE), University of Pennsylvania Talk Title: Constrained Reinforcement Learning Abstract: Constrained reinforcement learning (CRL) involves multiple rewards that must individually accumulate to given thresholds. CRL arises naturally in cyberphysical systems which are most often specified by a set of requirements. We expl...
Designing and Running Real-World RL Experiments: Antonin Raffin
Переглядів 62Місяць тому
Speaker: Antonin Raffin, Research Engineer in Robotics and Machine Learning, German Aerospace Center (DLR) Talk Title: Designing and Running Real-World RL Experiments Abstract: This talk covers the challenges and best practices for designing and running real-world reinforcement learning (RL) experiments. The idea is to walk through the different steps of RL experimentation (task design, choosin...
Exploration Incentives in Model-Based Reinforcement Learning: Alec Koppel
Переглядів 62Місяць тому
Speaker: Alec Koppel, AI Research Lead/VP in the Multiagent Learning and Simulation Group within Artificial Intelligence Research, JP Morgan Chase & Co. Talk Title: Exploration Incentives in Model-Based Reinforcement Learning Abstract: Reinforcement Learning (RL) is a form of stochastic adaptive control in which one seeks to estimate parameters of a controller only from data, and has gained pop...
Independent Learning in Stochastic Games: Where Strategic Decision-Making Meets RL: Kaiqing Zhang
Переглядів 92Місяць тому
Speaker: Kaiqing Zhang, Assistant Professor, Electrical and Computer Engineering (ECE), Institute for Systems Research (ISR), University of Maryland, College Park Talk Title: Independent Learning in Stochastic Games: Where Strategic Decision-Making Meets RL Abstract: Reinforcement learning (RL) has recently achieved great successes in many sequential decision-making applications. Many of the fo...
Posterior Sampling by Autoregressive Generation: Daniel Russo
Переглядів 62Місяць тому
Speaker: Daniel Russo, Associate Professor, Decisions, Risk, and Operations Division, Columbia Business School Title: Posterior Sampling by Autoregressive Generation Abstract: Conventionally trained neural networks excel at prediction but often struggle to model uncertainty in their own predictions. We explore this challenge in the cold-start content exploration problem for recommendation syste...
Replicability in Interactive Learning: Amin Karbasi
Переглядів 68Місяць тому
Speaker: Amin Karbasi, Associate Professor, Electrical Engineering & Computer Science, Yale University Talk Title: Replicability in Interactive Learning Bio: Amin Karbasi is currently an associate professor of Electrical Engineering, Computer Science, and Statistics & Data Science at Yale University. He is also a staff scientist at Google NY. He has been the recipient of the National Science Fo...
Representation-Based Learning and Control for Dynamical Systems
Переглядів 263Місяць тому
Speaker: Na (Lina) Li, Winokur Family Professor, Electrical Engineering and Applied Mathematics, Harvard University School of Engineering and Applied Sciences (SEAS) Talk Title: Representation-based Learning and Control for Dynamical Systems Abstract: The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, the translation of these success...
Single Timescale Actor Critic: A Small-Gain Analysis: Bahman Gharesifard
Переглядів 49Місяць тому
Speaker: Bahman Gharesifard, Professor, Electrical & Computer Engineering, University of California, Los Angeles Talk Title: Single timescale actor critic: a small-gain analysis Abstract: We consider the used-in-practice setting of actor-critic where proportional step-sizes are used for both the actor and the critic, with only one critic update with a single sample from the stationary distribut...
Welcome & Opening Remarks: Eshed Ohn-Bar and Alex Olshevsky
Переглядів 38Місяць тому
Welcome & Opening remarks: BU College of Engineering Professors Eshed Ohn-Bar, Assistant Professor (ECE, CS) and Alex Olshevsky, Associate Professor (ECE, SE, CS)
Distinguished Hariri Institute/CISE Seminar: Andrew A. Chien
Переглядів 86Місяць тому
Thursday, May 2, 2024 Speaker: Andrew A. Chien, Professor, University of Chicago Talk Title: How Can We Decarbonize the Power Grid and Meet AI’s Exploding Power Demands? Abstract: AI and Cloud computing is growing rapidly and projected to increase US electric power consumption by as much as 2% by 2026. This is an explosive increase against a backdrop of zero growth in US power consumption from ...
Distinguished Hariri Institute/CISE Seminar: Asu Ozdaglar
Переглядів 46Місяць тому
Friday, April 26, 2024 Speaker: Professor Asu Ozdaglar, Mathworks Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology Talk Title: Independent Learning Dynamics for Stochastic Games: Convergence and Finite-Time Analysis Abstract: Reinforcement learning (RL) has had tremendous successes in many artificial intelligence applications. Many of the forefront...
What can Digital Diagnosis and Digital Therapeutics tell us about the Brain
Переглядів 62Місяць тому
What can Digital Diagnosis and Digital Therapeutics tell us about the Brain
Introducing RASTIC: The Robotics & Autonomous Systems Teaching and Innovation Center
Переглядів 48Місяць тому
Introducing RASTIC: The Robotics & Autonomous Systems Teaching and Innovation Center
AIR Distinguished Speaker Series: Deva Ramanan
Переглядів 1882 місяці тому
AIR Distinguished Speaker Series: Deva Ramanan
Joint Seminar CISE/BME/Hariri: Jeremias Sulam
Переглядів 672 місяці тому
Joint Seminar CISE/BME/Hariri: Jeremias Sulam
AIR Distinguished Speaker Series: Svetlana Lazebnik
Переглядів 1182 місяці тому
AIR Distinguished Speaker Series: Svetlana Lazebnik
Distinguished Hariri Institute/CISE Seminar: Kavita Ramanan, Brown University
Переглядів 1213 місяці тому
Distinguished Hariri Institute/CISE Seminar: Kavita Ramanan, Brown University
AIR Distinguished Speaker Series: Ravi Ramamoorthi, Professor, University of California San Diego
Переглядів 1903 місяці тому
AIR Distinguished Speaker Series: Ravi Ramamoorthi, Professor, University of California San Diego
Health Data Science Focused Research Program
Переглядів 1564 місяці тому
Health Data Science Focused Research Program
MLxMED Seminar Series: Tristan Naumann
Переглядів 5564 місяці тому
MLxMED Seminar Series: Tristan Naumann
AIR Distinguished Speaker Mihaela van der Schaar
Переглядів 2105 місяців тому
AIR Distinguished Speaker Mihaela van der Schaar
Happy Holidays from the Hariri Institute for Computing
Переглядів 536 місяців тому
Happy Holidays from the Hariri Institute for Computing
AIR Distinguished Speaker Sharon Huang
Переглядів 646 місяців тому
AIR Distinguished Speaker Sharon Huang
Hariri Institute Distinguished Speaker Dr. Milind Tambe
Переглядів 1296 місяців тому
Hariri Institute Distinguished Speaker Dr. Milind Tambe
Thank you for watching! Please let us know your thoughts below and any questions you may have. Remember to stay connected with The Hariri Institute on Instagram, X, and LinkedIn.
Thank you for watching! Be sure to leave a like if you found the video interesting 👍. Let us know your thoughts 💭 below and any questions❓you may have. Subscribe for quality content and hit the bell icon to never miss a post 🔔. Remember to stay connected with The Hariri Institute on Instagram, X, and LinkedIn 🔗.
Thank you for watching! Be sure to leave a like if you found the video interesting 👍. Let us know your thoughts 💭 below and any questions❓you may have. Subscribe for quality content and hit the bell icon to never miss a post 🔔. Remember to stay connected with The Hariri Institute on Instagram, X, and LinkedIn 🔗.
Thank you for watching! Be sure to leave a like if you found the video interesting 👍. Let us know your thoughts 💭 below and any questions❓you may have. Subscribe for quality content and hit the bell icon to never miss a post 🔔. Remember to stay connected with The Hariri Institute on Instagram, X, and LinkedIn 🔗.
Thank you for watching! Be sure to leave a like if you found the video interesting 👍. Let us know your thoughts 💭 below and any questions❓you may have. Subscribe for quality content and hit the bell icon to never miss a post 🔔. Remember to stay connected with The Hariri Institute on Instagram, X, and LinkedIn 🔗.
Great presentation thank you.
thanks for the great work , i will be much grateful if you do more videos on computational chemistry using Ml for materials development.
Great talk!
Cool!
this feels revolutionary.
Fantastic presentations and discussion!
Wow!
It will be nice if English subtitles given,buz difficult to follow different ascents speakings
Hi, you can turn on automatic sub function from UA-cam
@@hanguyenthithu7828 now it's okay