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Yearly Archives: 2020

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Federated Machine Learning: Training ML Algorithms with Anonymous Data

By Dick Weisinger

Federated Learning is a way to train machine learning algorithms on data that is partitioned and distributed across many servers that each train on a subset of all data, then send their trained algorithm parameters back to a central server…

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September 23rd, 2020
Category: Artificial Intelligence, Machine Learning
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Deep Learning: Are GPUs the Only Way?

By Dick Weisinger

Deep Learning has enabled impressive advances in areas like healthcare, finance, machine vision, and self-driving cars. But to be successful, the algorithms need massive amounts of data and CPU cycles. Most Deep Learning projects today rely on specialized GPU processors…

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September 22nd, 2020
Category: Deep Learning
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Computing: The Dfinity Decentralized Internet Computer

By Dick Weisinger

Dfinity has created a project called ‘The Internet Computer’ which is a decentralized and non-proprietary network that developers can use as an alternative to proprietary platforms. Dominic Williams, founder and chief scientist at Dfinity, said that “big tech has hijacked…

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September 21st, 2020
Category: Blockchain, Computing
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Data Analytics: AI Reshapes the Delivery of Analytics

By Dick Weisinger

The availability of increasing amounts of data is driving applications that can analyze it, identify patterns in it, and derive meaning from it. The area of data analytics, in particular, is under enormous change. Rita Sallam, research vice president at…

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September 18th, 2020
Category: Analytics, Data Analytics
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JAMStack: Improving Web App Performance and Security

By Dick Weisinger

A new style of app development is gaining in popularity: JAMStack. It is a kind of software architecture and philosophy. ‘JAM’ stands for Javascript, APIs and Markup. The Markup in JAMStacks refers to static markup deployed with the app from…

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September 17th, 2020
Category: Code Development, Coding
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