Neuromorphic engineering

NSF Announces Expeditions in Computing Award to NTT Research Collaborator

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Wednesday, March 25, 2020

The NSF has granted a $10 million Expeditions in Computing (Expeditions) award to Stanfords Department of Applied Physics for research into the use of CIMs for optimization, machine learning and neuromorphic computing.

Key Points: 
  • The NSF has granted a $10 million Expeditions in Computing (Expeditions) award to Stanfords Department of Applied Physics for research into the use of CIMs for optimization, machine learning and neuromorphic computing.
  • NTT Researchs PHI Lab is already conducting related joint research with Stanford, and PHI Lab Director Yoshihisa Yamamoto will serve as an external unfunded collaborator to the Stanford-led NSF Expeditions CIMs team.
  • The significant investment by NSF into this Stanford-led initiative complements our own efforts, said Kazuhiro Gomi, NTT Research President and CEO.
  • NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.

2020 Insights on Innovations in Wearables, Thermoelectric Generators, Holographic Displays, AI Chips, VLC, Micro-LEDs, and VCSELs - ResearchAndMarkets.com

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Friday, March 20, 2020

The "Innovations in Wearables, Thermoelectric Generators, Holographic Displays, AI Chips, VLC, Micro-LEDs, and VCSELs" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Innovations in Wearables, Thermoelectric Generators, Holographic Displays, AI Chips, VLC, Micro-LEDs, and VCSELs" report has been added to ResearchAndMarkets.com's offering.
  • This report profiles advancements in wearables, holographic displays, AI chips, visible light communication, micro-LEDs, VCSEL, and neuromorphic platform.
  • The Microelectronics TechVision Opportunity Engine captures global electronics-related innovations and developments on a weekly basis.
  • Sleep Wearable Helps Monitor Heart Rate, Sleep and Oxygen Levels
    View source version on businesswire.com: https://www.businesswire.com/news/home/20200320005393/en/

WPI-MANA Finds How Neuromorphic Nanowire Networks Find Routes to Convey Signals

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Thursday, March 19, 2020

They have shown experimentally the interplay between network topology and memristor dynamics giving rise to self-organized states.

Key Points: 
  • They have shown experimentally the interplay between network topology and memristor dynamics giving rise to self-organized states.
  • In self-assembled networks of polymer-coated silver nanowires, the junction between two connected nanowires acts as a memristive switch.
  • Upon application of current-voltage cycles it is seen that the network as a whole also behaves as a memristor, showing critical activation.
  • "Emergent dynamics of neuromorphic nanowire networks" Adrian Diaz-Alvarez et al., Scientific Reports (October 17, 2019); DOI: 10.1038/s41598-019-51330-6

Intel Scales Neuromorphic Research System to 100 Million Neurons

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Wednesday, March 18, 2020

Whats New: Today, Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons.

Key Points: 
  • Whats New: Today, Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing the computational capacity of 100 million neurons.
  • The cloud-based system will be made available to members of the Intel Neuromorphic Research Community (INRC), extending their neuromorphic work to solve larger, more complex problems.
  • View the full release here: https://www.businesswire.com/news/home/20200318005110/en/
    A close-up shows an Intel Nahuku board, each of which contains eight to 32 Intel Loihi neuromorphic research chips.
  • What It is: Pohoiki Springs is a data center rack-mounted system and is Intels largest neuromorphic computing system developed to date.

Computers That Smell: Intel’s Neuromorphic Chip Can Sniff Out Hazardous Chemicals

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Monday, March 16, 2020

Whats New: In a joint paper published in Nature Machine Intelligence , researchers from Intel Labs and Cornell University demonstrated the ability of Intels neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion.

Key Points: 
  • Whats New: In a joint paper published in Nature Machine Intelligence , researchers from Intel Labs and Cornell University demonstrated the ability of Intels neuromorphic research chip, Loihi, to learn and recognize hazardous chemicals in the presence of significant noise and occlusion.
  • View the full release here: https://www.businesswire.com/news/home/20200316005122/en/
    A close-up photo shows Loihi, Intels neuromorphic research chip.
  • Intels latest neuromorphic system, Pohoiki Beach, will be comprised of 64 of these Loihi chips.
  • About the Research: Using a neural algorithm derived from the architecture and dynamics of the brains olfactory circuits, researchers from Intel and Cornell trained Intels Loihi neuromorphic research chip to learn and recognize the scents of 10 hazardous chemicals.

Neuromorphic Chips 2019 - Boosting AI at the Edge - ResearchAndMarkets.com

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Friday, January 10, 2020

The "Neuromorphic Chips: Boosting AI at the Edge" report has been added to ResearchAndMarkets.com's offering.

Key Points: 

The "Neuromorphic Chips: Boosting AI at the Edge" report has been added to ResearchAndMarkets.com's offering.
Knowledge about robotic process automation (RPA), predictive analytics, machine learning (ML), and other emerging technologies

Global Neuromorphic Chips Market Outlook to 2024; Featuring BrainChip Holdings, Intel Corp, IBM Corp, and Samsung Advanced Institute of Technology

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Tuesday, January 7, 2020

DUBLIN, Jan. 7, 2020 /PRNewswire/ -- The "Neuromorphic Chips: Boosting AI at the Edge" report has been added to ResearchAndMarkets.com's offering.

Key Points: 

DUBLIN, Jan. 7, 2020 /PRNewswire/ -- The "Neuromorphic Chips: Boosting AI at the Edge" report has been added to ResearchAndMarkets.com's offering.
Knowledge about robotic process automation (RPA), predictive analytics, machine learning (ML), and other emerging technologies

Neuromorphic Chips: Boosting AI at the Edge

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Monday, January 6, 2020

Hence edge computing has come into the picture to boost AI capabilities through its independent intelligent hardware functions.

Key Points: 
  • Hence edge computing has come into the picture to boost AI capabilities through its independent intelligent hardware functions.
  • AI hardware can act upon their own and come up with analytical output just at the edge of every functional devices.
  • To power up this AI capability at the edge; tech giants like Intel Corp, BrainChip Holdings Ltd., Samsung, Qualcomm, IBM, and others are developing brain chips with neuromorphic computing technology.
  • A neuromorphic chip functions with sensory networks, high-speed data interfaces, inbuilt ethernet, neuron fabrics and embedded data-to-spike converters.

Innovations in Neuromorphic Computing, GaNtronics, Advanced Data Storage, Wearables, VCSEL, and Processors, 2019 Research Report - ResearchAndMarkets.com

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Wednesday, December 18, 2019

The "Innovations in Neuromorphic Computing, GaNtronics, Advanced Data Storage, Wearables, VCSEL, and Processors" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Innovations in Neuromorphic Computing, GaNtronics, Advanced Data Storage, Wearables, VCSEL, and Processors" report has been added to ResearchAndMarkets.com's offering.
  • This Microelectronics TechVision Opportunity Engine (TOE) profiles advancements in neuromorphic computing, GaNtronics, advanced data storage, wearables, VCSEL, and processors.
  • Innovations include advancements neuromorphic chips, gallium arsenide-based electronics, printing technology for developing curvy electronics, advancements in optical data storage and NVMe-oF Storage, wearables, implantable chips, VCSEL, and processors.
  • The Microelectronics TechVision Opportunity Engine captures global electronics-related innovations and developments on a weekly basis.

Deep-Tech Startup Applied Brain Research Inc. Extends Battery Life with Ultra-Low-Power AI Algorithm

Retrieved on: 
Tuesday, December 10, 2019

Canadian Startup, Applied Brain Research, announces breakthrough at Vancouver NeurIPS Spotlight Talk on 10 Dec 19.

Key Points: 
  • Canadian Startup, Applied Brain Research, announces breakthrough at Vancouver NeurIPS Spotlight Talk on 10 Dec 19.
  • TORONTO, Dec. 10, 2019 /PRNewswire/ - Applied Brain Research (ABR) announce a new Algorithm that enables advances in ultra-low-power AI speech, vision and signal processing systems for always-on and edge-AI applications, extending battery life while making them more accurate.
  • Present in most smart speakers and voice recognition systems, LSTMs are said to be the most financially valuable AI algorithm ever invented (Forbes).
  • This new algorithm - the Legendre Memory Unit (LMU) - is a neuromorphic algorithm for continuous-time memory that can learn temporal dependencies over millions of time-steps or more.