CNN Pipeline

Revolutionizing AI Computation: Introducing Custom Mass Multiplication Circuits

Retrieved on: 
Wednesday, September 6, 2023
Software, Hardware, Start-Up, Artificial Intelligence, Robotics, Professional Services, Technology, Semiconductor, Graphics processing unit, HD, Patent, TPU, United States Patent and Trademark Office, MAK Technologies, Inc., Intelligence, CNN Pipeline, Multimedia, FPS, Machine learning, Computer data storage, Gigantor, AI

Gigantor Technologies Inc — In a groundbreaking leap forward for artificial intelligence and computational efficiency, the United States Patent and Trademark Office (USPTO) has officially approved Patent Number 11,748,061, detailing the innovative Custom Mass Multiplication Circuits.

Key Points: 
  • Gigantor Technologies Inc — In a groundbreaking leap forward for artificial intelligence and computational efficiency, the United States Patent and Trademark Office (USPTO) has officially approved Patent Number 11,748,061, detailing the innovative Custom Mass Multiplication Circuits.
  • Gigantor's newly patented Mass Multiplier technology bypasses these constraints by implementing a unique non-Von Neumann approach.
  • By integrating massive arrays of calculations into a unified process, the Custom Mass Multiplication Circuits harness the power of collective computation, enabling calculations that dwarf even the most advanced GPUs and TPUs in the market.
  • The capability to harness vast computational power without compromising performance is ushering in a new era of AI advancements.

Tech Alert: BrainChip Examines New Approach to Optimizing Time-series Data

Retrieved on: 
Sunday, June 11, 2023
Semiconductor, Consumer Electronics, IOT (Internet of Things), Technology, Artificial Intelligence, Hardware, Hoher Tenn, Neural network, ADR, 3D, ML, ASX, CNN Pipeline, TENN, CDO, Forecasting, Vital signs, Temporal Process Language, BrainChip, Second generation, OTCQX, Television

TENNs are extremely effective in accelerating 3D and 1D time series applications including video, vision, audio, and vital signs in healthcare to name a few.

Key Points: 
  • TENNs are extremely effective in accelerating 3D and 1D time series applications including video, vision, audio, and vital signs in healthcare to name a few.
  • The paper, “Temporal Event-based Neural Networks: A new approach to Temporal Processing,” shows how TENNs enable intelligent, energy-efficient edge solutions and details how BrainChip’s 2nd Generation Akida™ IP platform supports this innovation.
  • TENNs provide radical, innovative ways to reduce complexity, size, and compute requirements, while still delivering the accuracy expected for the desired, intelligent, responsive experience at the edge.
  • “While CNNs have long been the backbone of image classification in AI and ML, they are not as efficient in handling spatiotemporal data and applications such as video object detection from video streams, and Time series data, thereby limiting its usage in cost-effective, thermally constrained edge devices,” said Anil Mankar, co-founder and CDO at BrainChip.

Mount Sinai Researchers Use New Deep Learning Approach to Enable Analysis of Electrocardiograms as Language

Retrieved on: 
Tuesday, June 6, 2023
National Center for Voice and Speech, Data-driven, Learning, Heart, Icahn School of Medicine at Mount Sinai, Department of Medicine – University of Pamplona, ChatGPT, National Heart, Lung, and Blood Institute, Pathology, ECG, Intelligence, CNN Pipeline, Lung, Language, CNN, Science, Hospital, Genetic disorder, Patient, Physician, Machine learning, Hypertrophic cardiomyopathy, Division, Algorithm, DOI, Architecture, Diagnosis, Artificial intelligence, Automated ECG interpretation, Mount Sinai Health System, MPH, NIH, Sinai, D3M, Disease, Medical device, Medical imaging, MD, Medicine

NEW YORK, June 6, 2023 /PRNewswire-PRWeb/ -- Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train.

Key Points: 
  • Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language.
  • NEW YORK, June 6, 2023 /PRNewswire-PRWeb/ -- Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language.
  • Researchers are using a related image-generating model to create discrete representations of small parts of the ECG, enabling analysis of the ECG as language.
  • Researchers pretrained HeartBEiT on 8.5 million ECGs from 2.1 million patients collected over four decades from four hospitals within the Mount Sinai Health System.

Extensive Catalogue of CNN Films, Documentaries, Interviews and Content Added to Academic Video Online

Retrieved on: 
Thursday, March 7, 2019
Television, Concurrent computing, Distributed computing, CNN, Streaming media, CNN International, CNN Pipeline

ANN ARBOR, Mich., March 7, 2019 /PRNewswire/ --More than 450documentaries, interviews and specialfilms originally released by CNN are now available to academic librariesthrough the Academic Video Online streaming video collection, marking the first time CNN content is available in a video database for the library market.

Key Points: 
  • ANN ARBOR, Mich., March 7, 2019 /PRNewswire/ --More than 450documentaries, interviews and specialfilms originally released by CNN are now available to academic librariesthrough the Academic Video Online streaming video collection, marking the first time CNN content is available in a video database for the library market.
  • Like most content in Academic Video Online, the CNN films can be viewed and used worldwide.
  • In addition to the new CNN content, a subscription to Academic Video Online includes instant access to more than 66,000 high-quality streaming videos.
  • We're thrilled to partner with CNN to grow Academic Video Online and give libraries access to content that supports teaching and learning."