IARPA Seeks Partners in Brain-Inspired AI Initiative

By Tiffany Trader

January 22, 2015

US intelligence officials have set in motion a five-year project to spark progress in machine learning by reverse-engineering the algorithms of the human brain. The Intelligence Advanced Research Projects Agency (IARPA) recently put out a call for innovative solutions with the greatest potential to advance theories of neural computation as part of the Machine Intelligence from Cortical Networks (MICrONS) program. The agency, known for its funding of high-risk/high-payoff research in support of national intelligence, is ultimately looking to facilitate the development of synthetic systems with brain-like performance and proficiency.

In a just-issued broad agency announcement, IARPA lays out its strategy for fostering multidisciplinary approaches at the intersection of data science and neuroscience that increase scientific understanding of the cortical computations underlying neural information processing. Although there has been much progress in modeling machine learning algorithms after neural processes, the brain remains far better-suited for a host of detection and recognition tasks.

The agency sees the emerging research area of neurally-inspired machine learning as crucial for closing the performance gap between software and wetware.

“Despite significant progress in machine learning over the past few years, today’s state of the art algorithms are brittle and do not generalize well,” the proposal’s authors contend. “In contrast, the brain is able to robustly separate and categorize signals in the presence of significant noise and non-linear transformations, and can extrapolate from single examples to entire classes of stimuli. This performance gap between software and wetware persists despite some correspondence between the architecture of the leading machine learning algorithms and their biological counterparts in the brain, presumably because the two still differ significantly in the details of operation. The MICrONS program is predicated on the notion that it will be possible to achieve major breakthroughs in machine learning if we can construct synthetic systems that not only resemble the high-level blueprints of the brain, but also employ lower-level computing modules derived from the specific computations performed by cortical circuits.”

The MICrONS program consists of three Technical Areas (TAs), defined as follows:

TA1 – experimental design, theoretical neuroscience, computational neural modeling, machine learning, neurophysiological data collection, and data analysis;

TA2 – neuroanatomical data collection; and

TA3 – reconstruction of cortical circuits from neuroanatomical data and development of information technology systems to store, align, and access neural circuit reconstructions with the associated neurophysiological and neuroanatomical data.

“Over the course of the program, participants will use their improving understanding of the representations, transformations, and learning rules employed by the brain to create ever more capable neurally-derived machine learning algorithms,” the IARPA proposal further explains. “Ultimate computational goals for MICrONS include the ability to perform complex information processing tasks such as one-shot learning, unsupervised clustering, and scene parsing, aiming towards human-like proficiency.”

MICrONS is set to run from September 2015 through September 2020. A summary of the scientific and technical objectives of each program phase as well as a very comprehensive set of metrics for each of the technical areas are detailed in the full 70-page solicitation [PDF].

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!

Democratization of HPC Part 3: Ninth Graders Tap HPC in the Cloud to Design Flying Boats

October 18, 2018

This is the third in a series of articles demonstrating the growing acceptance of high-performance computing (HPC) in new user communities and application areas. In this article we present UberCloud use case #208 on how Read more…

By Wolfgang Gentzsch and Håkon Bull Hove

Penguin Computing Launches Consultancy for Piecing AI Strategies Together

October 18, 2018

AI stands before the HPC industry as a beacon of great expectations, yet market research repeatedly shows that AI adoption is commonly stuck in the talking phase, on the near side of a difficult chasm to cross. In respon Read more…

By Tiffany Trader

When Water Quality—Not Quantity—Hinders HPC Cooling

October 18, 2018

Attention has been paid to the sheer quantity of water consumed by supercomputers’ cooling towers – and rightly so, as they can require thousands of gallons per minute to cool. But in the background, another factor can emerge, bottlenecking efficiency and raising costs: water quality. Read more…

By Oliver Peckham

HPE Extreme Performance Solutions

One Small Step Toward Mars: One Giant Leap for Supercomputing

Since the days of the Space Race between the U.S. and the former Soviet Union, we have continually sought ways to perform experiments in space. Read more…

IBM Accelerated Insights

Paper Offers ‘Proof’ of Quantum Advantage on Some Problems

October 18, 2018

Is quantum computing worth all the effort being poured into it or should we just wait for classical computing to catch up? An IBM blog today posed those questions and, you won’t be surprised, offers a firm “it’s wo Read more…

By John Russell

Penguin Computing Launches Consultancy for Piecing AI Strategies Together

October 18, 2018

AI stands before the HPC industry as a beacon of great expectations, yet market research repeatedly shows that AI adoption is commonly stuck in the talking phas Read more…

By Tiffany Trader

When Water Quality—Not Quantity—Hinders HPC Cooling

October 18, 2018

Attention has been paid to the sheer quantity of water consumed by supercomputers’ cooling towers – and rightly so, as they can require thousands of gallons per minute to cool. But in the background, another factor can emerge, bottlenecking efficiency and raising costs: water quality. Read more…

By Oliver Peckham

Paper Offers ‘Proof’ of Quantum Advantage on Some Problems

October 18, 2018

Is quantum computing worth all the effort being poured into it or should we just wait for classical computing to catch up? An IBM blog today posed those questio Read more…

By John Russell

Dell EMC to Supply U Michigan’s Great Lakes Cluster

October 16, 2018

The University of Michigan (U-M) today announced Dell EMC is the lead vendor for U-M’s $4.8 million Great Lakes HPC cluster scheduled for deployment in first Read more…

By John Russell

Houston to Field Massive, ‘Geophysically Configured’ Cloud Supercomputer

October 11, 2018

Based on some news stories out today, one might get the impression that the next system to crack number one on the Top500 would be an industrial oil and gas mon Read more…

By Tiffany Trader

Nvidia Platform Pushes GPUs into Machine Learning, High Performance Data Analytics

October 10, 2018

GPU leader Nvidia, generally associated with deep learning, autonomous vehicles and other higher-end enterprise and scientific workloads (and gaming, of course) Read more…

By Doug Black

Federal Investment in Exascale – What It Really Means

October 10, 2018

Earlier this month, the EuroHPC JU (Joint Undertaking) reached critical mass, and it seems all EU and affiliated member states, bar the UK (unsurprisingly), have or will sign on. The EuroHPC JU was born from a recognition that individual EU member states, and the EU as a whole, were significantly underinvesting in HPC compared to the US, China and Japan, who all have their own exascale investment and delivery strategies (NSCI, 13th 5 Year Plan, Post-K, etc). Read more…

By Dairsie Latimer

NERSC-9 Clues Found in NERSC 2017 Annual Report

October 8, 2018

If you’re eager to find out who’ll supply NERSC’s next-gen supercomputer, codenamed NERSC-9, here’s a project update to tide you over until the winning bid and system details are revealed. The upcoming system is referenced several times in the recently published 2017 NERSC annual report. Read more…

By Tiffany Trader

TACC Wins Next NSF-funded Major Supercomputer

July 30, 2018

The Texas Advanced Computing Center (TACC) has won the next NSF-funded big supercomputer beating out rivals including the National Center for Supercomputing Ap Read more…

By John Russell

IBM at Hot Chips: What’s Next for Power

August 23, 2018

With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…

By Tiffany Trader

Requiem for a Phi: Knights Landing Discontinued

July 25, 2018

On Monday, Intel made public its end of life strategy for the Knights Landing "KNL" Phi product set. The announcement makes official what has already been wide Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

By John Russell

D-Wave Breaks New Ground in Quantum Simulation

July 16, 2018

Last Friday D-Wave scientists and colleagues published work in Science which they say represents the first fulfillment of Richard Feynman’s 1982 notion that Read more…

By John Russell

Leading Solution Providers

HPC on Wall Street 2018 Booth Video Tours Playlist

Arista

Dell EMC

IBM

Intel

RStor

VMWare

TACC’s ‘Frontera’ Supercomputer Expands Horizon for Extreme-Scale Science

August 29, 2018

The National Science Foundation and the Texas Advanced Computing Center announced today that a new system, called Frontera, will overtake Stampede 2 as the fast Read more…

By Tiffany Trader

HPE No. 1, IBM Surges, in ‘Bucking Bronco’ High Performance Server Market

September 27, 2018

Riding healthy U.S. and global economies, strong demand for AI-capable hardware and other tailwind trends, the high performance computing server market jumped 28 percent in the second quarter 2018 to $3.7 billion, up from $2.9 billion for the same period last year, according to industry analyst firm Hyperion Research. Read more…

By Doug Black

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

GPUs Power Five of World’s Top Seven Supercomputers

June 25, 2018

The top 10 echelon of the newly minted Top500 list boasts three powerful new systems with one common engine: the Nvidia Volta V100 general-purpose graphics proc Read more…

By Tiffany Trader

Germany Celebrates Launch of Two Fastest Supercomputers

September 26, 2018

The new high-performance computer SuperMUC-NG at the Leibniz Supercomputing Center (LRZ) in Garching is the fastest computer in Germany and one of the fastest i Read more…

By Tiffany Trader

MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?

May 2, 2018

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…

By John Russell

Aerodynamic Simulation Reveals Best Position in a Peloton of Cyclists

July 5, 2018

Eindhoven University of Technology (TU/e) and KU Leuven research group conducts the largest numerical simulation ever done in the sport industry and cycling discipline. The goal was to understand the aerodynamic interactions in the peloton, i.e., the main pack of cyclists in a race. Read more…

Houston to Field Massive, ‘Geophysically Configured’ Cloud Supercomputer

October 11, 2018

Based on some news stories out today, one might get the impression that the next system to crack number one on the Top500 would be an industrial oil and gas mon Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This