cleanroom fogger, CRF6 fogger, LN2 fogger, smoke studies, ultrapure fogger, polystyrene latex, size standards, calibration wafer standard, silica particles Call Us Today! (719) 428-4042|
19 01, 2023

Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm

By |2023-01-19T14:03:28-07:00January 19th, 2023|Categories: Uncategorized|Tags: , , , , , , |

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networks that uses two forward passes of data through the network, instead of backpropagation, to update the model weights. Hinton's motivation for the algorithm is to address some of the shortcomings of [...]

18 01, 2023

Deep Learning Expert Says GPT Startups May Be in for a Very Rude Awakening

By |2023-01-18T15:03:59-07:00January 18th, 2023|Categories: Future Tech|Tags: , , , , , |

Generative AI exploded into the mainstream last year. Led by Elon Musk cofounded OpenAI — the creator of both DALL-E 2, a text-to-image generator, and ChatGPT, an impressive text-generating system — the industry has absolutely exploded, as these generative tools and others, notably the image-generating systems Stable Diffusion and Mid journey, have dazzled investment firms and the [...]

17 01, 2023

Quantum machine learning (QML) poised to make a leap in 2023 

By |2023-01-18T14:34:09-07:00January 17th, 2023|Categories: Quantum Computing|Tags: , , , , , , |

Classical machine learning (ML) algorithms have proven to be powerful tools for a wide range of tasks, including image and speech recognition, natural language processing (NLP), and predictive modeling. However, classical algorithms are limited by the constraints of classical computing and can struggle to process large and complex datasets or achieve high levels of accuracy [...]