MIT-IBM Watson AI Lab Targets Algorithms, AI Physics

By George Leopold

September 7, 2017

Investment continues to flow into artificial intelligence research, especially in key areas such as AI algorithms that promise to move the technology from specialized tasks to broader applications that leverage big data and exploit machine and “continuous” learning capabilities.

With those and other goals in mind—including the societal implications of AI—IBM and the Massachusetts Institute of Technology announced an AI research partnership on Thursday (Sept. 7). Along with critical AI algorithms and related deep learning software, the 10-year, $240 million investment in the new MIT-IBM Watson AI Lab will focus on hardware development and applications such as health care and cyber-security.

IBM and university researchers also will “explore the economic and ethical implications of AI on society,” the partners noted.

The AI lab will be co-chaired by Anatha Chandrakasan, dean of MIT’s School of Engineering, and Dario Gil, vice president of AI at IBM Research. Along with algorithms, the partners will seek proposals from MIT researchers and company scientists on AI physics, applications and “advancing shared prosperity through AI.”

MIT President L. Rafael Reif, left, and John Kelly III, IBM senior vice president, Cognitive Solutions and Research, shake hands at the conclusion of a signing ceremony establishing the new MIT–IBM Watson AI Lab. Photo credit: Jake Belcher

The final category is a nod to growing concerns about the economic impact of AI on labor markets as more tasks are automated.

The partners also stressed they would seek to take AI advances to the next level by encouraging MIT faculty and students to launch startups designed to commercialize technologies developed by the new lab.

The AI lab builds on earlier collaboration between IBM and MIT in cognitive sciences designed to advance research in areas such as machine vision.

IBM’s previous research efforts built around its Watson cognitive computing have so far achieved mixed results. According to a report by the web site, a three-year effort to promote the technology for recommending cancer treatments has fallen short of expectations. A cancer specialist who has used it told the web site: “Watson for Oncology is in their toddler stage.”

The report also noted that IBM researchers have yet to publish any scientific papers about clinical outcomes based on the technology. Nevertheless, IBM and MIT said they would continue pursuing “optimum treatment paths for specific patients” along with medical applications such as image analysis and securing private medical data.

Separately, the company also is collaborating with MIT and Harvard University on AI and genomics.

Hence, IBM’s new research partnership with MIT looks like an attempt to go back to the drawing board to focus research on fundamentals such as algorithm development and AI “physics.” The latter category would focus on materials, devices and architectures that would support future approaches to AI model training. Among the current techniques is broader use of neural processing units that are incorporated into chipsets to accelerate the execution of AI algorithms.

IBM also said the partnership is intended to exploit the intersection between machine learning and quantum computing, including new quantum devices and using quantum machines as another way to accelerate machine-learning algorithms.

“Today, it takes an enormous amount of time to train high-performing AI models to sufficient accuracy,” IBM’s Gil noted in a blog post. “For very large models, it can be upwards of weeks of compute time on GPU-enabled clusters.”

Meanwhile, algorithm research will focus on moving beyond specialized tasks such as facial recognition and computer vision to address more complex problems. “Researchers will invent new algorithms that can not only leverage big data when available, but also learn from limited data to augment human intelligence,” the partners said.

Acknowledging growing unease about the societal implications of AI technology, the partners also emphasized they would take a step back to consider the economic impact of AI technology. Among the issues addressed will be the creation of “AI systems that can detect and mitigate human biases,” Gil explained, along with “ensuring that AI systems [complement] worker skills that might be in short supply and exploring how productivity gains will be distributed across firms, workers and consumers.”

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Mellanox Reacts to Activist Investor Pressures in Letter to Shareholders

March 16, 2018

Activist investor Starboard Value has been exerting pressure on Mellanox Technologies to increase its returns. In response, the high-performance networking company on Monday, March 12, published a letter to shareholders outlining its proposal for a May 2018 extraordinary general meeting (EGM) of shareholders and highlighting its long-term growth strategy and focus on operating margin improvement. Read more…

By Staff

Quantum Computing vs. Our ‘Caveman Newtonian Brain’: Why Quantum Is So Hard

March 15, 2018

Quantum is coming. Maybe not today, maybe not tomorrow, but soon enough. Within 10 to 12 years, we’re told, special-purpose quantum systems will enter the commercial realm. Assuming this happens, we can also assume that quantum will, over extended time, become increasingly general purpose as it delivers mind-blowing power. Read more…

By Doug Black

How the Cloud Is Falling Short for HPC

March 15, 2018

The last couple of years have seen cloud computing gradually build some legitimacy within the HPC world, but still the HPC industry lies far behind enterprise IT in its willingness to outsource computational power. The m Read more…

By Chris Downing

HPE Extreme Performance Solutions

Achieve Optimal Performance at Scale with High Performance Fabrics for HPC

High Performance Computing (HPC) is unlocking a new era of speed and productivity to fuel business transformation. Rapid advancements in HPC capabilities are helping organizations operate faster and more effectively than ever, but in today’s fast-paced marketplace, a new generation of technologies is required to reach greater scalability and cost-efficiency. Read more…

Stephen Hawking, Legendary Scientist, Dies at 76

March 14, 2018

Stephen Hawking passed away at his home in Cambridge, England, in the early morning of March 14; he was 76. Born on January 8, 1942, Hawking was an English theoretical physicist, cosmologist, author and director of resea Read more…

By Tiffany Trader

How the Cloud Is Falling Short for HPC

March 15, 2018

The last couple of years have seen cloud computing gradually build some legitimacy within the HPC world, but still the HPC industry lies far behind enterprise I Read more…

By Chris Downing

Stephen Hawking, Legendary Scientist, Dies at 76

March 14, 2018

Stephen Hawking passed away at his home in Cambridge, England, in the early morning of March 14; he was 76. Born on January 8, 1942, Hawking was an English theo Read more…

By Tiffany Trader

Hyperion Tackles Elusive Quantum Computing Landscape

March 13, 2018

Quantum computing - exciting and off-putting all at once - is a kaleidoscope of technology and market questions whose shapes and positions are far from settled. Read more…

By John Russell

Part Two: Navigating Life Sciences Choppy HPC Waters in 2018

March 8, 2018

2017 was not necessarily the best year to build a large HPC system for life sciences say Ari Berman, VP and GM of consulting services, and Aaron Gardner, direct Read more…

By John Russell

Google Chases Quantum Supremacy with 72-Qubit Processor

March 7, 2018

Google pulled ahead of the pack this week in the race toward "quantum supremacy," with the introduction of a new 72-qubit quantum processor called Bristlecone. Read more…

By Tiffany Trader

SciNet Launches Niagara, Canada’s Fastest Supercomputer

March 5, 2018

SciNet and the University of Toronto today unveiled "Niagara," Canada's most-powerful supercomputer, comprising 1,500 dense Lenovo ThinkSystem SD530 high-perfor Read more…

By Tiffany Trader

Part One: Deep Dive into 2018 Trends in Life Sciences HPC

March 1, 2018

Life sciences is an interesting lens through which to see HPC. It is perhaps not an obvious choice, given life sciences’ relative newness as a heavy user of H Read more…

By John Russell

Alibaba Cloud Launches ‘Bare Metal,’ HPC Instances in Europe

February 28, 2018

Alibaba, the e-commerce giant from China, is taking a run at AWS in the global public cloud computing market with new offerings aimed at the surging demand for Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open questi Read more…

By Tiffany Trader

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

Leading Solution Providers

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

By Tiffany Trader

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

By Andrew Jones

V100 Good but not Great on Select Deep Learning Aps, Says Xcelerit

November 27, 2017

Wringing optimum performance from hardware to accelerate deep learning applications is a challenge that often depends on the specific application in use. A benc Read more…

By John Russell

Lenovo Unveils Warm Water Cooled ThinkSystem SD650 in Rampup to LRZ Install

February 22, 2018

This week Lenovo took the wraps off the ThinkSystem SD650 high-density server with third-generation direct water cooling technology developed in tandem with par Read more…

By Tiffany Trader

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

AMD Wins Another: Baidu to Deploy EPYC on Single Socket Servers

December 13, 2017

When AMD introduced its EPYC chip line in June, the company said a portion of the line was specifically designed to re-invigorate a single socket segment in wha Read more…

By John Russell

World Record: Quantum Computer with 46 Qubits Simulated

December 18, 2017

Scientists from the Jülich Supercomputing Centre have set a new world record. Together with researchers from Wuhan University and the University of Groningen, Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
Share This