Tony is a Geek

 So....some great sales person at Nvidia took a look in the warehouse one day and said, "how come we have so many GPUs on the shelf? who ordered all these? was it the same person who ordered all the oil drums in Half Life 2?...how the hell am I going to sell all these?" ...and thus, the AI/ML training requirement using GPUs was born. okay, so that could be a total fabrication of the truth (we'll never know) and I'm sure I'll get 1001 comments telling me the real history (pst: I really don't care and if you keep reading you'll figure out why ) I was at work the other day and the subject of training ML models came up and some very clever Data Scientists were telling me that to train/learn the things I wanted to do would require exclusively using Cloud servers as they have the GPU scalability that is required to do the training in a decent amount of time.  I wasn't convinced. Also, we cannot use the "Cloud" (ie. someone elses servers), we're

I had a PIXYMON a few years back (it was very expensive at the time) and whilst it did do the job, once the power was removed, it "forgot" everything you'd trained it, so was a bit of a chore.  I still have it someplace.....  but now, the future has arrived and it's better (of course)  Purchase a HUSKYLENS yourself from DF ROBOT (or via Amazon ) What is it? HuskyLens is an easy-to-use  AI Machine Vision Sensor . It is equipped with multiple functions, such as  face recognition ,  object tracking ,  object recognition ,  line tracking ,  color recognition , and  tag(QR code) recognition . HuskyLens adopts the new generation of specialized AI chip Kendryte K210. The performance of this special AI chip is 1,000 times faster than that of the STM32H743 when running neural network algorithm. With these excellent performances, it is capable of capturing even fast-moving objects. With the HuskyLens, your projects have new ways to interact with you or environment, such as in

Well.....to be able to use it, you need to be able to code for it... https://quantumzeitgeist.com/boston-based-quantum-startup-zapata-releases-orquestra-a-new-software-platform/ Despite skeptics having doubts about the ‘realness’ of the imminent field of quantum computing, there are many strides forward made even now. IBM recently released an ambitious roadmap that is hardware-based, and Zapata, a Boston-based quantum computing startup, announced its commercial release of Orquestra.  It is an advanced software platform used to create repeatable quantum and quantum-based workflows and algorithms and can be used across industries and cases. The process involves a quantum engine that systematically groups together information and resources even when they are spread across both quantum and classical devices. Orquestra is designed for quantum use cases such as writing, manipulating, and optimising quantum circuits as well as running these across various devices. These devices include quantu