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Anaconda Collaborates with Intel to Improve Speed and Scale for Machine Learning Workflows

Retrieved on: 
Tuesday, June 29, 2021

The companies are working together to build critical open-source data science packages, optimized for Intel technology, to make fast and scalable machine learning accessible for practitioners everywhere.

Key Points: 
  • The companies are working together to build critical open-source data science packages, optimized for Intel technology, to make fast and scalable machine learning accessible for practitioners everywhere.
  • Built on top of these libraries is the machine learning module Scikit-learn, one of the most popular libraries with data scientists.
  • With more than 25 million users, Anaconda is the worlds most popular data science platform and the foundation of modern machine learning.
  • Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

Artificial Intelligence in the Global Food & Beverages Market - Forecasting Astronomical Growth at a CAGR of 45.77% from 2021 to 2026 - ResearchAndMarkets.com

Retrieved on: 
Thursday, June 17, 2021

The "Artificial Intelligence (AI) in Food & Beverages Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Artificial Intelligence (AI) in Food & Beverages Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)" report has been added to ResearchAndMarkets.com's offering.
  • This emerging technology of AI is helping F&B companies with supply chain management through logistics, predictive analytics, and also transparency.
  • For instance, Kewpie Corporation, a Japanese food processing company, uses AI-enabled TensorFlow machine learning that can detect anomalies in food.
  • This is supporting the growth of AI in the food and beverage market in the region.

BrainChip Simplifies Deep Learning with Launch of MetaTF

Retrieved on: 
Thursday, April 22, 2021

The MetaTF development environment leverages TensorFlow and Keras for industry-standard neural network development and training and includes the Akida Execution Engine (chip simulator), data-to-event converters, and a model zoo of pre-trained models.

Key Points: 
  • The MetaTF development environment leverages TensorFlow and Keras for industry-standard neural network development and training and includes the Akida Execution Engine (chip simulator), data-to-event converters, and a model zoo of pre-trained models.
  • The framework leverages the Python scripting language and its associated tools and libraries, including Jupyter notebooks and NumPy.\nDeep-learning professionals do not need to learn a new framework to start using MetaTF immediately.
  • The chip is high performance, small, ultra-low power and enables a wide array of edge capabilities that include on-chip training, learning and inference.
  • By mimicking brain processing, BrainChip has pioneered a processing architecture, called Akida\xe2\x84\xa2, which is both scalable and flexible to address the requirements in edge devices.

Bank of Sun Prairie Holds First Virtual Stockholder Meeting in 124-Year History with Mediasite Events

Retrieved on: 
Tuesday, March 30, 2021

Using Mediasite Events complete virtual and hybrid event platform, the bank connected stockholders from around the country online for the first time in its rich 124-year history.

Key Points: 
  • Using Mediasite Events complete virtual and hybrid event platform, the bank connected stockholders from around the country online for the first time in its rich 124-year history.
  • We needed confidence that our event would just work, because failure was not an option, said Jimmy Kauffman, President and CEO, Bank of Sun Prairie.
  • We needed to do registration and dive into analytics afterwards to show who attended, and Mediasite Events made that easy.
  • Learn more about Mediasite Events town hall packages, the solution for events on a smaller scale, at www.mediasite.com/events/virtual-packages/#town-hall.

Quantiphi Recognized as a TensorFlow AI Service Partner for Machine Learning Led Enterprise Transformation

Retrieved on: 
Thursday, February 4, 2021

"We are delighted to be named as a TensorFlow AI Service Partner.

Key Points: 
  • "We are delighted to be named as a TensorFlow AI Service Partner.
  • Earlier last year, Quantiphi was named a TensorFlow Trusted Partner for Machine Learning-led Business Transformation .
  • Being a TensorFlow AI service partner further reinforces Quantiphi's ability in solving what matters.
  • "Quantiphi continues to be a valued partner in implementing Tensorflow in production, at enterprise scale.

Release of Deep Learning Framework "SmallTrain 0.2.1"

Retrieved on: 
Wednesday, January 27, 2021

Allowed users to use JupyterLab to host the runtime as a standalone Docker application for multi-user support.

Key Points: 
  • Allowed users to use JupyterLab to host the runtime as a standalone Docker application for multi-user support.
  • Details such as how to use: https://github.com/geek-guild/smalltrain
    What is Jupyter Notebook Interface, and why is it good?
  • Notebooks are used for data-science tasks, including statistical modeling, deep learning, and much more.
  • It's a deep learning framework developed as a library for convenient use and as a wrapper.

Himax and Edge Impulse Launch the First Ultralow Power AI Vision and Sensor Fusion Solution

Retrieved on: 
Wednesday, December 9, 2020

The AI vision and sensor fusion solution is ideal for predictive maintenance, condition monitoring, asset tracking, and occupancy detection applications where power efficiency, bandwidth optimization and privacy are key requirements.

Key Points: 
  • The AI vision and sensor fusion solution is ideal for predictive maintenance, condition monitoring, asset tracking, and occupancy detection applications where power efficiency, bandwidth optimization and privacy are key requirements.
  • Offered at no charge to individual Himax developers, Edge Impulse helps simplify the creation of neural networks across a range of Himax products, including AI processors and always-on sensors, all operating at ultralow power.
  • Himax WE-I Plus and Edge Impulse end-to-end platform enable an easy TinyML development with TensorFlow on an ultralow power device, said Pete Warden, Technical Lead of TensorFlow Lite for Microcontrollers at Google.
  • By using Edge Impulse and Himax, engineers can generate and export the models directly to the devices with a single button press, and in seconds, not days.

OctoML Announces Early Access for Its Machine Learning Platform for Automated Model Optimization and Deployment

Retrieved on: 
Thursday, December 3, 2020

Industry analysts estimate that machine learning model costs will double from $50 billion in 2020 to more than $100 billion by 2024.

Key Points: 
  • Industry analysts estimate that machine learning model costs will double from $50 billion in 2020 to more than $100 billion by 2024.
  • It uses machine learning to optimize and compile models for deep learning applications, closing the gap between productivity-focused deep learning frameworks and performance-oriented hardware backends.
  • OctoML applies cutting-edge machine learning-based automation to make it easier and faster for machine learning teams to put high-performance machine learning models into production on any hardware.
  • OctoML, founded by the creators of the Apache TVM machine learning compiler project, offers seamless optimization and deployment of machine learning models as a managed service.

Deci Collaborates with Intel to Achieve 11.8x Accelerated Inference Speed at MLPerf

Retrieved on: 
Tuesday, December 1, 2020

On several popular Intel CPUs, Deci's AutoNAC (Automated Neural Architecture Construction) technology accelerated the inference speed of the well-known ResNet-50 neural network.

Key Points: 
  • On several popular Intel CPUs, Deci's AutoNAC (Automated Neural Architecture Construction) technology accelerated the inference speed of the well-known ResNet-50 neural network.
  • "Billions of dollars have been spent on building dedicated AI chips, some of which are focused on computer vision inference," says Yonatan Geifman, CEO and co-founder of Deci.
  • "At MLPerf we demonstrated that Deci's AutoNAC algorithmic acceleration, together with Intel's OpenVino toolkit, enables the use of standard CPUs for deep learning inference at scale."
  • "Intel's collaboration with Deci takes a significant step towards enabling deep learning inference on CPU, a longstanding challenge for AI practitioners across the globe," said Guy Boudoukh from Intel AI.

Kivuto Launches IBM SPSS Campus Edition Embedded Solution

Retrieved on: 
Tuesday, October 27, 2020

This solution makes IBM SPSS software available to university and college students across campuses through Kivuto Cloud, and gives campus IT departments an agile and effective way to manage their SPSS licenses.

Key Points: 
  • This solution makes IBM SPSS software available to university and college students across campuses through Kivuto Cloud, and gives campus IT departments an agile and effective way to manage their SPSS licenses.
  • Now, institutions with IBM SPSS Campus Edition licenses no longer have to determine their own solution to manage the licenses, generate ROI, and ensure compliance with business rules.
  • Kivuto's embedded solution unlocks agile options and functionality that enable campus IT departments to customize how they provision access to SPSS licenses, and maximize the value and ROI of SPSS Campus Edition.
  • Kivuto enhances SPSS Campus Edition in a number of ways, including:
    License Distribution for Campus or Home Use: Institutions that offer SPSS software can leverage Kivuto's industry-leading distribution platform to provision access for both on-campus and home use.