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Solving The Von Neumann Bottleneck With FPGAs

Hu's Place - HitachiVantara

The Need for New Compute Architectures The growth in performance of non-volatile memory technologies such as storage-class memories , and the growing demand for intensive compute for graphics processors, analytics/machine learning, crypto currencies, and edge processing are starting to exceed the performance capabilities of CPU processors.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change. You must detect when the model has become stale, and retrain it as necessary.

Marketing 145
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WaveOne aims to make video AI-native and turn streaming upside down

TechCrunch

And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. But consider this: many new phones ship with a chip designed for running machine learning models, which like codecs can be accelerated, but unlike them the hardware is not bespoke for the model.

Video 252
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Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. Flexing consumers up and down, or cycling through a set of consumers on a controlled fashion like a Kubernetes operator means that rolling restart and elastic scaling are supported natively.

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Image Recognition with Deep Neural Networks and its Use Cases

Altexsoft

Researchers can use deep learning models for solving computer vision tasks. Deep learning is a machine learning technique that focuses on teaching machines to learn by example. Neural networks are computing systems designed to recognize patterns. This brainwork takes just a moment.

Network 20
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Technology Trends for 2022

O'Reilly Media - Ideas

Keep in mind that a title like Machine Learning in the AWS Cloud would match both terms.) There’s been a lot of speculation in the press about artificial intelligence. Yes, usage of content with “artificial intelligence” in the title is down 23% in 2021, and “AI” is down 11%. AI, ML, and Data.

Trends 109
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). New frameworks appear every day (literally), and our corporate clients won’t suddenly tell their staff to reimplement the ecommerce site just because last year’s hot framework is no longer fashionable.