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Technology: Machines Capable of Human Sense

By Dick Weisinger

Machines are learning how to sense. Devices and sensors are enabling machines to be able to mimic how human senses function. The technology will enable the creation of devices that both augment human senses and make machines more capable. Bernie

AI and Patents: Algorithms Aren’t Inventors

By Dick Weisinger

Inventions and AI have been a subject for debate. Can an AI algorithm that comes up with a novel approach to solving a problem patent that idea? Earlier this year, the US Trademark and Patent Office (USTPO) ruled that the

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

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

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