ICYMI: One in four Americans have a disability, but assistive tech remains outdated and expensive. Autonomous Living Technologies aims to bring affordable AI-driven solutions to the market. Auli.tech is now collaborating with MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) to leverage cutting-edge research. The Massachusetts Institute of Technology community is a big draw for Auli.tech, and co-founder Spero Koulouras is excited to spread awareness of what they’re doing. “You're not going to find a smarter group of people or a better set of ideas anywhere in the world,” he says, adding, “somewhere in the MIT population is a bright engineer who's motivated by the same goals.” He hopes, by engaging with CSAIL through CSAIL Alliances, to find like-minded computer scientists willing to contribute their ideas, time, and talents toward helping provide better assistive technology. Read more about how Auli.tech and CSAIL Alliances are collaborating: https://bit.ly/4dYGrlR
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
高等教育
Cambridge，MA 157,003 位关注者
MIT CSAIL pioneers approaches to computing that improve how people work, play and learn.
关于我们
The MIT Computer Science and Artificial Intelligence Laboratory – known as CSAIL -– is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. CSAIL has played a key role in the computer revolution and developments such as time-sharing, massive parallel computers, public key encryption, mass commercialization of robots, and much of the technology underlying the ARPANet, Internet and the World Wide Web. CSAIL’s focus is developing the architecture and innovative applications for tomorrow’s information technology. Our research yields long-term improvements in how people live and work. CSAIL members (former and current) have launched more than 100 companies, including 3Com, Lotus Development Corporation, RSA Data Security, Akamai, iRobot, Meraki, ITA Software, and Vertica. The Lab is home to the World Wide Web Consortium (W3C), Wireless@MIT, BigData@CSAIL, Cybersecurity@CSAIL and the MIT Information Policy Project (IPP). Connecting to CSAIL CSAIL Alliances is your organization's pathway to CSAIL connections and serves as a gateway into the lab for industry and governmental institutions seeking closer engagement to the work, researchers and students of CSAIL. The program provides organizations with a proactive and comprehensive approach to developing strong connections with all CSAIL has to offer. Leading organizations come to CSAIL to learn about our research, to recruit talented graduate students, and to explore collaborations with our researchers. Through this program, we are able to better provide our members with access to our latest thinking and our deep pool of exceptional human and informational resources. For more information, please visit: https://cap.csail.mit.edu/
- 网站
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https://www.csail.mit.edu/
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)的外部链接
- 所属行业
- 高等教育
- 规模
- 1,001-5,000 人
- 总部
- Cambridge，MA
- 类型
- 非营利机构
- 创立
- 2003
- 领域
- Artificial Intelligence、Systems和Theory
地点
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主要
获取路线
32 Vassar Street
US，MA，Cambridge，02139
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)员工
动态
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MIT professors on the expansive potential of generative AI, including language, code, & images: https://bit.ly/3Z1eqmV
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT Sloan School of Management are collaborating on a course that offers insight into artificial intelligence trends, best approaches and latest developments to enhance your business strategies. The course will introduce ways to best prepare your company for the new era by reviewing organizational and managerial structures and how to develop an effective roadmap and avenues to ensure a sustainable business infrastructure. The course starts next Wednesday, November 27. Register today: https://bit.ly/3cG25jM
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MIT assistant professor Sara Beery on how her research group applies AI to monitor how species are changing around the world, including using tools like acoustics, sonar, & remote sensing data. Full video: https://bit.ly/3ANNqiR
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD student Yung-Sung Chuang works alongside his advisor Professor Jim Glass in the lab’s Spoken Language Systems Group. Chuang’s research focuses on NLP, specifically the factuality of large language models (LLMs). According to Chuang, these AI models, like the ones behind ChatGPT, have shown remarkable capabilities in assisting with everyday tasks. However, their tendency to hallucinate false information is a significant barrier to deploying them in high-risk situations, such as clinical or legal settings. “I’m deeply curious about improving the factuality of LLMs by exploring their internal mechanisms,” Chuang said. Read more about Yung-Sung Chuang and his research: https://bit.ly/3ZafyWB
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MIT researchers recently developed "Boltz-1," which can predict the 3D structure of proteins, RNA, DNA, & small molecules at an accuracy comparable to AlphaFold 3. More on the first commercially available, open-source model to achieve this feat:
PhD at MIT in Machine Learning | Generative Models for Structural Biology | BA at University of Cambridge | LeadTheFuture
Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting effort led with Jeremy Wohlwend and Saro Passaro with the help of an amazing team at MIT Jameel Clinic - AI & Health and in collaboration with Genesis Therapeutics! Check out: - Blog-post: https://lnkd.in/eDBfurAY? - Technical report: https://lnkd.in/efFE2Ehe? - Code, model, and instructions: https://lnkd.in/ezDA9pji By releasing training and inference code, model weights, and datasets under the MIT license, we aim to establish Boltz-1 as a modeling backbone for researchers worldwide, setting a new standard in open-source structural biology. A big shoutout to the whole Boltz-1 team: Jeremy Wohlwend, Saro Passaro, Mateo Reveiz, Ken Leidal, Wojtek Swiderski, Tally Portnoi, Itamar Chinn, Jacob Silterra, Tommi Jaakkola and Regina Barzilay!
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ICYMI: George Westerman, a Senior Lecturer MIT Sloan School of Management and Founder of the Global Opportunity Initiative, discusses the future of AI, the opportunities it presents, as well as some potential pitfalls with host Kara Miller. Listen: https://bit.ly/3x1fVaO
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For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks: https://bit.ly/4exEZG6 Full video: https://bit.ly/3UQxRxF
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD student Hallee Wong currently works in the lab’s Clinical and Applied Machine Learning Group. Wong and colleagues developed ScribblePrompt, a new approach to rapid interactive image segmentation, which they believe will dramatically improve the annotation process for any new medical image segmentation task desired by clinical researchers or practitioners. The core idea is to use a single streamlined neural network model, trained to handle a diverse array of potential user interactions, biomedical domains, and regions of interest. More about Hallee Wong and ScribblePrompt: https://bit.ly/3UgklD8