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Artificial Intelligence Chips: GPU Competitors

By Dick Weisinger

It wasn’t meant to be, but today’s AI industry has a strong focus on the GPU chip. GPUs were originally designed for high-end compute-intense processing for graphics, but they have been increasingly used in AI, especially for deep learning and…

RPA + AI: Taking Robotic Automation to the Next Level

By Dick Weisinger

Robotic Process Automation (RPA) is the automation of human tasks. An example of RPA is the automation of the work performed by a data entry operator, for example, recognizing the handwriting on scanned images of application forms and then automatically…

AI + IoT = Automating and Analyzing Data Collection

By Dick Weisinger

The Internet of Things (IoT) refers to total of all devices connected to the Internet, a number that McKinsey says is growing by 127 every second. As of 2019, the IoT market was worth $1.7 trillion. IoT is huge, but…

The AI Manifesto: Condemning the “Dataoploly”

By Dick Weisinger

A manifesto written by Giovanni Buttarelli, former European chief data protection regulator, was published in late 2019. In that document Buttarelli promotes the use of data towards solving human problems rather than focusing on commercial and intrusive uses. The manifesto…

Aggregated AI: Combining AI Engines into SuperBots

By Dick Weisinger

There have been whirlwind advances by Artificial Intelligence over the past few years. AI that can beat humans at Chess, Go or Jeopardy. AI that can drive cars and drones. AI that is better than radiologists at reading X-Rays and…