Skip to content

QualityPoint Technologies News

Emerging Technologies News

Menu
  • About Us
  • Technology
  • Medical
  • Robots
  • Artificial Intelligence (AI)
  • 3D Printing
  • Contact Us
Menu

Huge Discount Offer: 14 ebooks + 2 courses

IBM and MIT establish new MIT–IBM Watson AI Lab

Posted on September 9, 2017

IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software, and algorithms related to deep learning and other areas; increase AI’s impact on industries, such as health care and cybersecurity; and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

https://www.youtube.com/watch?v=zwuzOHID5Rc

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research at IBM’s Research Lab in Cambridge, Massachusetts — co-located with the IBM Watson Health and IBM Security headquarters in Kendall Square — and on the neighboring MIT campus.

The lab will be co-chaired by Dario Gil, IBM Research VP of AI and IBM Q, and Anantha P. Chandrakasan, dean of MIT’s School of Engineering. IBM and MIT plan to issue a call for proposals to MIT researchers and IBM scientists to submit their ideas for joint research to push the boundaries in AI science and technology in several areas, including:

  • AI algorithms: Developing advanced algorithms to expand capabilities in machine learning and reasoning. Researchers will create AI systems that move beyond specialized tasks to tackle more complex problems and benefit from robust, continuous learning. Researchers will invent new algorithms that can not only leverage big data when available, but also learn from limited data to augment human intelligence.
  • Physics of AI: Investigating new AI hardware materials, devices, and architectures that will support future analog computational approaches to AI model training and deployment, as well as the intersection of quantum computing and machine learning. The latter involves using AI to help characterize and improve quantum devices, and researching the use of quantum computing to optimize and speed up machine-learning algorithms and other AI applications.
  • Application of AI to industries: Given its location in IBM Watson Health and IBM Security headquarters in Kendall Square, a global hub of biomedical innovation, the lab will develop new applications of AI for professional use, including fields such as health care and cybersecurity. The collaboration will explore the use of AI in areas such as the security and privacy of medical data, personalization of health care, image analysis, and the optimum treatment paths for specific patients.
  • Advancing shared prosperity through AI: The MIT–IBM Watson AI Lab will explore how AI can deliver economic and societal benefits to a broader range of people, nations, and enterprises. The lab will study the economic implications of AI and investigate how AI can improve prosperity and help individuals achieve more in their lives.In addition to IBM’s plan to produce innovations that advance the frontiers of AI, a distinct objective of the new lab is to encourage MIT faculty and students to launch companies that will focus on commercializing AI inventions and technologies that are developed at the lab. The lab’s scientists also will publish their work, contribute to the release of open source material, and foster an adherence to the ethical application of AI.“The field of artificial intelligence has experienced incredible growth and progress over the past decade. Yet today’s AI systems, as remarkable as they are, will require new innovations to tackle increasingly difficult real-world problems to improve our work and lives,” says John Kelly III, IBM senior vice president, Cognitive Solutions and Research. “The extremely broad and deep technical capabilities and talent at MIT and IBM are unmatched, and will lead the field of AI for at least the next decade.”“I am delighted by this new collaboration,” MIT President L. Rafael Reif says. “True breakthroughs are often the result of fresh thinking inspired by new kinds of research teams. The combined MIT and IBM talent dedicated to this new effort will bring formidable power to a field with staggering potential to advance knowledge and help solve important challenges.”

    Both MIT and IBM have been pioneers in artificial intelligence research, and the new AI lab builds on a decades-long research relationship between the two. In 2016, IBM Research announced a multiyear collaboration with MIT’s Department of Brain and Cognitive Sciences to advance the scientific field of machine vision, a core aspect of artificial intelligence. The collaboration has brought together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. In addition, IBM and the Broad Institute of MIT and Harvard have established a five-year, $50 million research collaboration on AI and genomics.

    MIT researchers were among those who helped coin and popularize the very phrase “artificial intelligence” in the 1950s. MIT pushed several major advances in the subsequent decades, from neural networks to data encryption to quantum computing to crowdsourcing. Marvin Minsky, a founder of the discipline, collaborated on building the first artificial neural network and he, along with Seymour Papert, advanced learning algorithms. Currently, the Computer Science and Artificial Intelligence Laboratory, the Media Lab, the Department of Brain and Cognitive Sciences, the Center for Brains, Minds and Machines, and the MIT Institute for Data, Systems, and Society serve as connected hubs for AI and related research at MIT.

For more than 20 years, IBM has explored the application of AI across many areas and industries. IBM researchers invented and built Watson, which is a cloud-based AI platform being used by businesses, developers, and universities to fight cancer, improve classroom learning, minimize pollution, enhance agriculture and oil and gas exploration, better manage financial investments, and much more. Today, IBM scientists across the globe are working on fundamental advances in AI algorithms, science and technology that will pave the way for the next generation of artificially intelligent systems.

News Source: http://news.mit.edu/2017/ibm-mit-joint-research-watson-artificial-intelligence-lab-0907

Related AI Videos

Artificial intelligence produces Realistic Sounds that fool Humans

Microscope uses Artificial Intelligence to find cancer cells more efficiently

DJI’s Phantom 4 Drone uses Artificial Intelligence for avoiding Obstacles

Watch more AI videos at https://www.youtube.com/playlist?list=PLK2ccNIJVPpBqKHdezLeaUzIp85DxFu7_

Share

Related News:

  1. System uses ‘deep learning’ to detect cracks in nuclear reactors
  2. AI System “IDA” helps Farmers to monitor Cows
  3. Google has launched a website for showing Semantic Experiences
  4. New AI System Could Teach Robots to do Household Chores
Master RAG ⭐ Rajamanickam.com ⭐ Bundle Offer ⭐ Merch ⭐ AI Course

  • Bundle Offer
  • Hire AI Developer

Latest News

  • MIT Researchers Unveil New Framework to Test AI Privacy Risks in Clinical Models January 6, 2026
  • MIT Researchers Develop AI-Driven Robot That Builds Furniture From Text Prompts December 17, 2025
  • Kling O1: A New Breakthrough in AI Video Creation December 4, 2025
  • Coactive: Teaching AI to See and Understand Visual Content June 10, 2025
  • Harvard Sues Trump Administration Over International Student Ban May 23, 2025
  • Stanford Researchers Develop AI Agents That Simulate Human Behavior with High Accuracy May 23, 2025
  • ​Firebase Studio: Google’s New Platform for Building AI-Powered Applications April 11, 2025
  • MIT Researchers Develop Framework to Enhance LLMs in Complex Planning April 7, 2025
  • MIT and NVIDIA Unveil HART: A Breakthrough in AI Image Generation March 25, 2025
  • Can LLMs Truly Understand Time Series Anomalies? March 18, 2025

Pages

  • About Us
  • Basics of 3D Printing
  • Key Innovations
  • Know about Graphene
  • Privacy Policy
  • Shop
  • Contact Us

Archives

Developed by QualityPoint Technologies (QPT)

QPT Products | eBook | Privacy

Timesheet | Calendar Generator

©2026 QualityPoint Technologies News | Design: Newspaperly WordPress Theme