Artificial intelligence is everywhere now.

Ubisoft shows off ZooBuilder, a prototype AI designed to animate animals

23 mars 2022

Ubisoft has shown off its ZooBuilder AI tool, a project that the publisher has mentioned before in its early stages. It is essentially software that [… Read more ]

Canada-based AI researcher trained the neural network to generate demonic Simpsons scripts. Neural networks are also known as artificial neural networks. It is a subset of machine learning. It refers to systems of neurons, either organic or artificial. Demons are the many inner demons and alter egos of Homer Simpson, that personifies all of his inner forms of negativity. Some artificial intelligence scientist generates demonic Simpsons from the neural network. The main goal is the process of creating the neural network for the classification of the series Simpsons on Fox channel. Convolutional Neural Network with Simpsons: CNN processes thousands of Simpsons images to train the classifier to recognize 10 characters from the TV show with an accuracy of more than 90 percent. In machine learning, a convolutional neural network is a class of deep, feed-forward artificial neural networks that has successfully been applied to analyzing visual imagery. The network learns the filters, that in traditional algorithms were hand-engineered. CNN’s uses a variation of multilayer perceptrons designed to require minimal preprocessing. Convolutional networks were inspired by biological processes. They also have applications in image and video recognition, recommender systems, and natural language processing. From the Simpsons: The most recent monstrosity represents the latest in a long line of multimedia artists who use machine learning to pay homage specifically to The Simpsons. Using a generative adversarial network is a machine learning model in which two neural networks compete with each other to become more accurate in their predictions. The two neural networks that make up a GAN are referred to as the generator and the discriminator. This user’s AI created an ever-shifting abomination that morphs between Bart and Homer, never quite landing on either, while inflating the eyes and limbs of the creepy creature is created. The Simpsons hold a special place in the hearts of generative artists. Canada-based AI researcher creates a Deepfake model It gets even weirder. Tim McSmythurs, a Canada-based AI researcher, made waves when he trained a model that could mimic anyone’s voice. McSmythurs used characters from the long-running animated series into other media and put people in the show that didn’t guest star, including Donald Trump and Joe Biden. He said that one could come up with an episode of The Simpsons that was voiced by the characters in a believable way because deep-faked voices generally lack the tonal resonance of real ones. But a few years ago, someone trained yet another neural network to generate Simpsons scripts. That was so bad, it was called soulless Simon Sam. Artificial intelligence was not as advanced as it is today, and the scripts that came out of them were pretty bizarre. But since 2018, Neural networks have come a long way since Sam Simon started unleashing nonsensical hell on the machine learning community. It may not have deep-faked voice actors or AI-generated phantasmagoria on the Simpsons. As the technology gets smarter, so will the art it spits. Scientists are concerned that new artificial intelligence-generated faces are seen as more trustworthy than real ones.

AI RESEARCHER TRAINS NEURAL NETWORK TO GENERATE DEMONIC SIMPSONS

23 mars 2022

Canada-based AI researcher trained the neural network to generate demonic Simpsons scripts. Neural networks are also known as artificial neural networks. It is a subset of machine learning. [… Read more ]

Banks Using AI Are Ripe for Russian Sabotage

23 mars 2022

Experts worry machine learning’s reliance on large data sets to train make them particularly vulnerable to data manipulation attacks Banks and other financial institutions utilizing [… Read more ]

Lapsus$ frappe Microsoft, LG et Okta

23 mars 2022

Lapsus$ frappe Microsoft, LG et Okta, laissant planer la menace de nombreux autres vols de données Le piratage d’Okta pourrait avoir des répercussions sur de [… Read more ]

Traders Bet on Ether Staking After Ethereum 2.0 Upgrade

23 mars 2022

Ether staking yields are likely to be in the range of 10% to 15% following the Ethereum 2.0 upgrade, one trader said. After enduring weeks [… Read more ]

Artificial Intelligence created 40,000 of new lethal chemical weapon

23 mars 2022

Researchers flipped a ‘bad’ switch on AI model designed to find disease cures This was for a conference exploring the negative implications of new technology [… Read more ]

IT Talent Shortage: How to Put AI Scouting Systems to Work

23 mars 2022

IT is facing significant talent shortages, and new HR AI talent recruiting systems are touted as being able to help. How do these systems work, [… Read more ]

How to ensure trust and ethics in AI

23 mars 2022

A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who would not want that? This is how Beena Ammanath describes [… Read more ]

Lapsus aurait piraté plusieurs comptes de Microsoft, l’entreprise enquête

22 mars 2022

Le groupe de pirates, qui s’est déjà attaqué à NVIDIA et Samsung notamment, a indiqué avoir percé les défenses des comptes DevOps internes à Microsoft. Une capture d’écran avait été publiée [… Read more ]

LOPMI : la « révolution numérique » du ministère de l’Intérieur

22 mars 2022

Un projet de loi d’orientation et de programmation pour dessiner la trajectoire du ministère de l’Intérieur jusqu’en 2027. Voilà LOPMI. Une « loi de transformation numérique [… Read more ]

Time To Stop Trying to Fix AI Bias

22 mars 2022

Bias gives AI a bad reputation, and there are good reasons for that. With the rising use of AI to recommend products, screen resumes, rate [… Read more ]

How the ‘first crypto war’ is unfolding in Ukraine

22 mars 2022

Digital assets raised since the beginning of March allowed Ukraine to provide its army with bulletproof vests, packed lunches, thermal imagers helmets. As Ukraine inches [… Read more ]

Conversational AI’s Moment Is Now

22 mars 2022

Conversational AI has a huge opportunity to impact technology, society and business How easily we interact with computers strongly informs how likely technology is to [… Read more ]

When AI takes a human touch

22 mars 2022

The project began with a vexing problem. Imaging tests that turned up unexpected issues — such as suspicious lung nodules — were being overlooked by [… Read more ]

Can symbolic models make a comeback in AI?

22 mars 2022

The split led to the myth that while it was easier to automate man’s higher reasoning functions, it was harder to automate the functions that [… Read more ]