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AI News Weekly - Issue #345: Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom - Aug 10th 2023

AI Weekly

Founded in 2013, The Information has built the biggest dedicated newsroom in tech journalism and count many of the world’s most powerful business and tech executives as subscribers. siliconangle.com Sponsor Make Smarter Business Decisions with The Information Looking for a competitive edge in the world of business?

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AI News Weekly - Issue #361: Interview: Sam Altman on being fired and rehired by OpenAI - Nov 30th 2023

AI Weekly

AI Scours Social Media… You’re Being Spied Upon Everywhere” It came out in 2014, but it’s even more pertinent today than it was then In January 2013, when documentary film director/producer Laura Poitras received an encrypted email from a stranger who called himself “Citizen Four” globalresearch.ca More applications are being developed.

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Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device

Flipboard

Raw images are processed and utilized as input data for a 2-D convolutional neural network (CNN) deep learning classifier, demonstrating an impressive 95% overall accuracy against new images. The glucose predictions done by CNN are compared with ISO 15197:2013/2015 gold standard norms.

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Aman Sareen, CEO of Aarki – Interview Series

Unite.AI

My adtech leadership odyssey began with co-founding ZypMedia in 2013, where we engineered a cutting-edge demand-side platform tailored for local advertising. Deep Neural Network (DNN) Models: Our core infrastructure utilizes multi-stage DNN models to predict the value of each impression or user. million user reactivations.

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Why BERT is Not GPT

Towards AI

Photo by david clarke on Unsplash The most recent breakthroughs in language models have been the use of neural network architectures to represent text. It all started with Word2Vec and N-Grams in 2013 as the most recent in language modelling. The more hidden layers an architecture has, the deeper the network.)

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NLP Rise with Transformer Models | A Comprehensive Analysis of T5, BERT, and GPT

Unite.AI

Developed by a team at Google led by Tomas Mikolov in 2013, Word2Vec represented words in a dense vector space, capturing syntactic and semantic word relationships based on their context within large corpora of text. Functionality : Each encoder layer has self-attention mechanisms and feed-forward neural networks.

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AI Battles the Bane of Space Junk

Flipboard

In addition to developing neural networks to anticipate these collisions which can take time and considerable resources to train and test other researchers like Lieutenant Colonel Robert Bettinger are turning to computer simulations to anticipate satellite behavior.