MNIST

VERSES Challenges AI Industry with Benchmark Tests

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星期四, 二月 22, 2024
Engineering, 10K, Luminosity, Architecture, AI, Atari, MNIST, CBOE, Human, Learning, Classification, GPU, Policy, Deep learning, Research, Environment

With the second benchmark, the Atari 10K Challenge, VERSES intends to demonstrate that its approach is vastly more sample and compute efficient than other alternatives.

Key Points: 
  • With the second benchmark, the Atari 10K Challenge, VERSES intends to demonstrate that its approach is vastly more sample and compute efficient than other alternatives.
  • The initial Atari benchmark challenge was introduced in 2015 and involved producing a single AI system that could meet or beat human-level performance on 26 classic Atari games.
  • The AI model must learn directly from pixel data, using only the score as a reward signal.
  • The Company believes that this benchmark will showcase the benefits that active inference brings for engineering multi-agent systems and align with the central ambitions of VERSES AI research: to create ecosystems of AI systems.

Sahmyook University Researchers Open Doors to Next-Generation Memristive Devices

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星期二, 一月 16, 2024
Internet, Facial recognition, Professor, Electrode, Sahmyook University, AG, Silver, Environment, MNIST, Auger, Fourth Industrial Revolution, Industrial Revolution, Data analysis, Semiconductor, Computer data storage

SEOUL, South Korea, Jan. 16, 2024 /PRNewswire/ -- Memristive devices constitute a category of devices capable of retaining their internal resistance, thus offering superior performance compared to conventional devices that use integrated circuits.

Key Points: 
  • SEOUL, South Korea, Jan. 16, 2024 /PRNewswire/ -- Memristive devices constitute a category of devices capable of retaining their internal resistance, thus offering superior performance compared to conventional devices that use integrated circuits.
  • Due to their increasing application in diverse domains like artificial intelligence systems, memristive devices must now overcome several issues related to data retention, endurance, and a large number of conductance states.
  • In a recent study led by Professor Min Kyu Yang from Sahmyook University, Korea, researchers have developed a silver (Ag)-dispersive chalcogenide thin film for use as a resistance-switching material in memristive devices.
  • This study thus emphasizes the capability of chalcogenide materials to enhance the performance of memristive devices.

Efabless Design Challenge Winners Advance the Power of AI in Chip Design

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星期三, 九月 13, 2023
Crypto, Learning, RTL, Integrated circuit, Challenge, PALO, Synthetic media, ChatGPT, IC, SOC, Caravel, CNN, Convolutional neural network, Documentation, TensorFlow, Data, Generative, AI, First Ever, MNIST, Medical device, Verilog

PALO ALTO, Calif., Sept. 13, 2023 (GLOBE NEWSWIRE) -- Efabless Corporation, the creator platform for chips, today announced the first, second, and third-place winners of its Second AI Generated Open-Source Silicon Design Challenge.

Key Points: 
  • PALO ALTO, Calif., Sept. 13, 2023 (GLOBE NEWSWIRE) -- Efabless Corporation, the creator platform for chips, today announced the first, second, and third-place winners of its Second AI Generated Open-Source Silicon Design Challenge.
  • The AI Generated Open-Source Silicon Design Challenges are a part of Efabless’ initiative to democratize the use of Generative AI for chip design.
  • The initiative drives innovation and learning in the chip design community by:
    Advancing the capabilities of generative AI use for chip design and verification, as well as secure device implementation.
  • The Verilog designs are then implemented using the chipIgnite Caravel SoC template and an open-source design flow such as OpenLane.

NTT Research Co-Authored Publication Demonstrates Optically Accelerated Edge Computing

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星期二, 五月 9, 2023
Technology, Research, Semiconductor, Other Technology, Networks, Internet, Hardware, Other Science, Science, Luminous, Congestion, Neuron, Mechanics, DNN (software), Nippon Telegraph and Telephone, MIT Lincoln Laboratory, CIM, University, Phi Lab, CNC, Classification, Artificial Intelligence Laboratory, Stanford University, Comenius University Faculty of Mathematics, Physics and Informatics, Ames Research Center, Deep learning, California Institute for Telecommunications and Information Technology, MIT, Harvard University, CSAIL, Cloud computing, Silicon, Tokyo Institute of Technology, Swinburne University of Technology, MAC, Cornell University, Data, DNN, Engineering, California Institute of Technology, Physics, PHI, NTT, Computer science, Coherence, GPU, Massachusetts Institute of Technology, MNIST, Television, Computer data storage, Electronics, NetCast, Informatics

The project has enjoyed support from NTT Research, which announced a five-year joint research agreement with MIT in November 2019 that included the goal of developing photonic accelerators for deep learning.

Key Points: 
  • The project has enjoyed support from NTT Research, which announced a five-year joint research agreement with MIT in November 2019 that included the goal of developing photonic accelerators for deep learning.
  • Corresponding author Alexander Sludds discussed Netcast at Coherent Network Computing (CNC) 2022 , an NTT Research-organized conference that took place October 24–26 at Stanford University.
  • The NASA Ames Research Center in Silicon Valley and 1QBit , a private quantum computing software company, have also entered joint research agreements with the PHI Lab.
  • In March 2022, NTT Research joined the MIT AI Hardware program as an inaugural industrial member.

WIMI Hologram Academy: Deep learning hardware technology based on in-memory computing structure

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星期二, 八月 2, 2022
Cloud, Goal, AI, DL, TPU, Neuron, Algorithm, XR, Time, Natural language processing, Environment, Animation, GLOBE, Intelligence, Reading, Extended reality, MNIST, Artificial intelligence, CPU, CMOS, Research, Partnership, Solution, Software, Industrialisation, DNN, DA, VN, 3D, Deep learning, AlphaZero, Language, Graphics processing unit, PCM, NASDAQ, Central processing unit, IMC, Architecture, DNN (software), Von Neumann, Machine learning, Speech, AD, Technology, WIMI, Experiential learning, Science, Memory, Acceleration, VR, Efficiency, Video, AlphaGo, GPU, ALUS, AR, Video game console, Computer data storage, Application-specific integrated circuit

HONG KONG, Aug. 02, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their exploration of deep learning hardware technology based on in-memory computing structure.

Key Points: 
  • HONG KONG, Aug. 02, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their exploration of deep learning hardware technology based on in-memory computing structure.
  • Scientists from WIMI Hologram Academy of WIMI Hologram Cloud Inc.(NASDAQ: WIMI), discussed in detail thedeep learning hardware technologyfrom general-purposeto in-memory computing structure.
  • In the following, we try to elaborate the reliance of deep learning on hardware, how deep learning works with different hardware support, and In-Memory Computing (IMC) for DL, pointing out the development direction of high-performance and low-power DL hardware.
  • With the help of advanced algorithms and computing hardware (GPU), deep learning has pushed artificial intelligence to a new level.

GTT Group To Sell Neural Network AI Machine Learning Portfolio

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星期二, 二月 15, 2022
Transfer, GTT, Patent, Machine learning, MNIST, Deep learning, High performance organization, CEO, Classification, Medical device

Together, these innovations open the door to a new class of neuromorphic computing that can outperform Deep Learning.

Key Points: 
  • Together, these innovations open the door to a new class of neuromorphic computing that can outperform Deep Learning.
  • This portfolio offers breakthroughs in machine learning that could shape the landscape of tomorrow's edge and data center capabilities.
  • GTT Group is approaching potential buyers and providing materials explaining the strategic advantages of acquiring the portfolio.
  • In addition, GTT Group's subject matter experts will be available to discuss the portfolio and market applicability.