RNN

VSORA Secures $4.2 Million in Financing from Otium Capital, Angel Investors

Retrieved on: 
Wednesday, January 11, 2023
Algorithm, CFO, Silicon, CNN, Environment, Federated, Týr, AD, RNN, Level 2, SDV, Software, IP, Transformers, Level 5, Mobile phone, Renewable energy

The investment round led by Otium Capital and existing investors will allow VSORA to accelerate development of the Tyr™ family and expand its software and hardware teams to support the increasing needs of current and new customers.

Key Points: 
  • The investment round led by Otium Capital and existing investors will allow VSORA to accelerate development of the Tyr™ family and expand its software and hardware teams to support the increasing needs of current and new customers.
  • “We’re exceedingly proud of the Tyr family and are pleased that Otium Capital and our other investors believe in what we’re doing,” notes Khaled Maalej, VSORA’s CEO.
  • “VSORA’s solution will dramatically accelerate the roadmap to implement L2+ through L5 autonomous driving vehicles,” states Pierre Ménard, Partner at Otium Capital.
  • “We believe that VSORA will become a strategic enabler of AD and complex algorithmic processing in the future.

Groq First to Announce Performance Advantage Results With STAC-ML™ Markets (Inference) Benchmark, Meeting Needs of Financial Services Industry

Retrieved on: 
Tuesday, November 1, 2022
STAC, Benchmark, Name, RNN, Leadership, News, Fujitsu VP, Efficiency, Running, LLC, ML, Industry, AMD, LSTM, Tiger Global Management, TensorFlow, Ultra, PyTorch, D1 Capital Partners, VP, Machine learning, Environment, Horizontal integration, Computer data storage, Medical device

Over the last few years, the financial services industry has been asking vendors to show performance numbers on market-specific workloads.

Key Points: 
  • Over the last few years, the financial services industry has been asking vendors to show performance numbers on market-specific workloads.
  • Groq first to announce STAC-ML audited benchmark results, bringing real-time AI to the financial services industry.
  • The impact for the financial services industry is more accurate pricing predictions for real-time trading and risk analysis using machine learning (ML) models.
  • Amr El-Ashmawi, VP of Vertical Markets at Groq, commented, "There are many factors that can fluctuate the pricing of equities.

New Study in IEEE/CAA Journal of Automatica Sinica Describes Convolutional Neural Network Framework to Predict Remaining Useful Life in Machines

Retrieved on: 
Thursday, October 20, 2022
Method, CNN, Deep learning, Technology, Life, Motivation, Architecture, RNN, Learning, AI, Agency for Science, Technology and Research, Agency, MSE, Rnn (software), Maintenance (technical), Transformer, Science, Research

To ensure the stability of industrial equipment and avoid unnecessary downtime, it is important to gauge a machine's remaining useful life (RUL) accurately.

Key Points: 
  • To ensure the stability of industrial equipment and avoid unnecessary downtime, it is important to gauge a machine's remaining useful life (RUL) accurately.
  • In particular, deep neural networks are considered promising in this regard.
  • These include recurrent neural networks (RNNs), convolutional neural networks (CNNs), or hybrid networks.
  • These units were stacked together to form a network such that their height and width decreased and the channel numbers increased with network depth.

GBT is Evaluating an Implementation of Advanced NLP Algorithm, To Provide Powerful NLP Features for Its AI Healthcare Advisory System

Retrieved on: 
Thursday, January 27, 2022
U.S. Securities and Exchange Commission, Health, Convolutional neural network, Telehealth, Data, Forward-looking statement, Ministry of Education (Malaysia), Research, CNN, Machine learning, Artificial intelligence, Natural language processing, Technology, Algorithm, AGI, Memory, Q&A, Method, Public policy, OTC, GPS, IP, Classification, SAN, Security (finance), Company, GBT, IOT, Patient, Human, Natural language, NLP, Software, RNN, IC, AI, Internet of things, GLOBE, Mobile phone, T5, Blockchain

SAN DIEGO, Jan. 27, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”), is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience. The Text-To-Text Transfer Transformer (T5) model introduces an efficient technology to perform a wide variety of supervised Natural Language Processing (NLP) tasks such as classification, Q&A and summarization. Typically, most of the new deep learning NLP models are very large and include vast number of parameters. Normally the larger the NLP model, the more learning capacity it has, yet one of the main disadvantages is the huge dataset which may reduce the overall performance. The advanced NLP algorithm model is considered one of the most advanced, high performance NLP algorithms that includes a vast number of parameters, using significantly less memory, and provides high accuracy. GBT will be evaluating the T5, pre-trained model with the goal of using it in its Hippocrates healthcare advisory system, handling Q/A, text, summarization and compositional commonsense knowledge. The model allows more parallel processing than methods like Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN) which significantly increases data understanding and reasoning capabilities. For example, T5 model is capable of processing words together rather than on a word-by-word of a given text. As global data realm is estimated to reach zettabytes range in the near future, our deep learning computing will need powerful processing capabilities, comprehending and scrutinizing data, particularly in the huge, unstructured NLP domain. The system is designed to perform as a general health Q/A advisory system, providing first-line of health-related advice. We plan to further develop the system to include intelligent telemedicine capabilities that will assist patients and healthcare specialists through global connected devices.

Key Points: 
  • SAN DIEGO, Jan. 27, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT, or the Company), is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience.
  • The advanced NLP algorithm model is considered one of the most advanced, high performance NLP algorithms that includes a vast number of parameters, using significantly less memory, and provides high accuracy.
  • GBT will be evaluating the T5, pre-trained model with the goal of using it in its Hippocrates healthcare advisory system, handling Q/A, text, summarization and compositional commonsense knowledge.
  • The system is designed to perform as a general health Q/A advisory system, providing first-line of health-related advice.

Neural Network 2.0: A Game Changer

Retrieved on: 
Wednesday, December 15, 2021
CNN, AE, CES, Align Technology, Diagnosis, SOC, SAN, MAC, Socs, RNN, Silicon, AI, CEO, Cloud computing, Research, Artificial intelligence, FNN, COO, Medicine, Artificial neural network, IP, GLOBE, TERA, Digital, TOPS, Technology, Health, Privacy, Medical device

Most neural network operations--including CNN, RNN, FNN, AE, Batch Norm, and activation functions--consist of multiplication and addition operations running in inference (prediction) mode. These operations can be implemented in hardware as a MAC block. Uniquify's AIPE block is 20 times smaller in size, power, and cost compared to the conventional MAC block and can be aggregated to achieve 70 tera operations per second (TOPS) per watt on a 7nm technology node. With such economic use of silicon real estate, Neural Network 2.0 technology has a wide variety of applications, including consumer appliances, artificial intelligence of things (AIoT), surveillance, vision inspection, diagnosis, and autonomous driving.

Key Points: 
  • SAN JOSE, Calif., Dec. 15, 2021 (GLOBE NEWSWIRE) -- Uniquify, a Silicon Valley neural network technology and AI edge computing company, is introducing a transformative neural network fabric technology at CES 2022.
  • Today's neural network technology utilizes multiply-accumulate (MAC)-based operations to realize visual, audio, data, and natural language processing AI models.
  • "Our Neural Network 2.0 technology shrinks the neuron in neural networks using AIPE technology to implement the most complex and advanced AI visual, audio, and natural language processing models using a fraction of real estate required by MAC-based neural networks.
  • "We are excited to announce the rollout of our Bethel product family of neural network processing SoCs based on our Neural Network 2.0 technology," Sam Kim, COO of Uniquify, comments.

Platform9's Kubernetes-as-a-Service Powers AI Startup Norna's Retail Fashion Technology

Retrieved on: 
Thursday, September 16, 2021
CNN Checkout Channel, Shein, AI, CEO, Engineering, Technology, Kaas, CKA, Zalando, CTO, Safety, Environment, SKU, RNN, TCO, Video game console, Management

Norna's unique AI-driven service helps fashion retailers with assortment planning and pricing through near real-time insights into changes in competitor pricing and offerings.

Key Points: 
  • Norna's unique AI-driven service helps fashion retailers with assortment planning and pricing through near real-time insights into changes in competitor pricing and offerings.
  • "As AI specialists, we cannot have in-house talent spending time becoming production Kubernetes experts," said Jonas Saric , founder and CEO of Norna.
  • "By eliminating this burden, Platform9 allowed us to concentrate solely on developing applied AI that helps our retail fashion customers stay ahead of the competition."
  • The data helps fashion retailers to compete on an equal footing with much larger data-driven retailers such as Amazon, Europe's Zalando, and China's Shein.

Sinclair Broadcast Group Names John Manzi Vice President And General Manager of KSAS-TV in Wichita, Kansas

Retrieved on: 
Wednesday, September 8, 2021
TV and Radio, General Entertainment, Entertainment

Sinclair Broadcast Group, Inc. (Nasdaq: SBGI) today announced John Manzi has been named Vice President and General Manager of KSAS-TV (FOX), and the simulcast stations, in the Wichita-Hutchinson, Kansas market.

Key Points: 
  • Sinclair Broadcast Group, Inc. (Nasdaq: SBGI) today announced John Manzi has been named Vice President and General Manager of KSAS-TV (FOX), and the simulcast stations, in the Wichita-Hutchinson, Kansas market.
  • Manzi joins KSAS from RNN National, where he was the Group Vice President of Operations, overseeing the systems and operations for the companys nine television stations.
  • Said Manzi, I am fortunate and excited for this opportunity to join Sinclair Broadcast Group.
  • Sinclair Broadcast Group, Inc. (Nasdaq: SBGI) is a diversified media company and leading provider of local sports and news.

SpiderDAO Announces Wide Ranging Partnership with New to The Street

Retrieved on: 
Tuesday, August 17, 2021
Company, Public relations, RNN, Creator, Television, Decentralized autonomous organization, VPN, GLOBE, International, New Haven State Street station, FMW, WRNN-TV, Bloomberg Television, News, Partnership, CEO, Fox Business, Department store

NEW YORK, Aug. 17, 2021 (GLOBE NEWSWIRE) -- SpiderDAO announces a wide ranging media partnership and collaboration with New to The Street TV.

Key Points: 
  • NEW YORK, Aug. 17, 2021 (GLOBE NEWSWIRE) -- SpiderDAO announces a wide ranging media partnership and collaboration with New to The Street TV.
  • In the coming months, New to The Street TV will prepare professional internally written and technically sound press releases, announcing SpiderDAOs forthcoming syndicated televised interviews.
  • Vincent Caruso, CEO FMW Media Corp. and the Creator / Producer of New to The Street TV, states, I am excited to have SpiderDAO on our syndicated TV series.
  • SpiderDAO remains enthusiastic to be working closely with one of the worlds premier news and public relations company, New to The Street .

GBT Seeking to Develop a New LSTM (Long/Short Term Memory) RNN (Recurrent Neural Network)

Retrieved on: 
Wednesday, January 8, 2020
Artificial neural networks, Articles, Artificial intelligence, Academic disciplines, Computational neuroscience, Emerging technologies, Recurrent neural network, Long short-term memory, RNN, RNN, Neural network, Bastiaan Quast

AI, for both mobile and fixed solutions, announced that it is now working on the development of a new LSTM (Long/Short Term Memory) RNN (Recurrent Neural Network).

Key Points: 
  • AI, for both mobile and fixed solutions, announced that it is now working on the development of a new LSTM (Long/Short Term Memory) RNN (Recurrent Neural Network).
  • GBT targets AI-controlled communications markets which are constantly expanding, and to address this expansion, GBT is designing a new architecture of RNN that is based on a proprietary LSTR (Long/Short Term Memory) algorithm.
  • The new RNN is designed to store and distribute vast amounts of information aboutpast and present events efficiently.
  • The new RNN memory method is being designed to create a dynamic long-short term memory network based on database logistics and multiplicative interactions.

Quant AB (publ) Appoints Tomas Rönn as CEO

Retrieved on: 
Monday, December 23, 2019
Artificial intelligence, RNN, RNN, Olof Faxander, Science software

STOCKHOLM, Dec. 23, 2019 /PRNewswire/ -- The Board of Directors is pleased to announce the appointment of Tomas Rnn as CEO of Quant AB (publ).

Key Points: 
  • STOCKHOLM, Dec. 23, 2019 /PRNewswire/ -- The Board of Directors is pleased to announce the appointment of Tomas Rnn as CEO of Quant AB (publ).
  • "Tomas Rnn has vast experience of working internationally and leading global businesses.
  • Tomas Rnn also has a proven ability to create structure and process around delivery of world class outsourcing of maintenance," says Mikael Norin, Chairman of the Board.
  • Following the departure of Quant CEO Johan Eriksson on 31 December, 2019, Olof Faxander, Operating Partner at Nordic Capital, will step in as interim CEO during the month of January, 2020.