Why African banks are investing in AI

24 mars 2022

Artificial intelligence (AI) is now firmly in the sights of African banks. From better understanding consumer needs to reducing risk, there are few areas where [… Read more ]

Top 10 Facts About Cryptocurrency and Bitcoin in 2022

24 mars 2022

With the world of DeFi transforming before our eyes, staying ahead of new changes in fintech and cryptocurrency is key to understanding the current market [… Read more ]

Why gender perspectives must be included in the study of artificial intelligence

24 mars 2022

Artificial intelligence (AI) currently plays a central role in the digitisation and modernisation strategies of public administrations and companies throughout Europe, the United States and [… Read more ]

An AI Experiment Generated 40,000 Hypothetical Bioweapons in Just 6 Hours

24 mars 2022

The cutting-edge number-crunching capabilities of artificial intelligence mean that AI systems are able to spot diseases early, manage chemical reactions, and explain some of the mysteries of the Universe. But [… Read more ]

It’s Time for Financial Advisers to Help Clients Invest in Cryptocurrency

24 mars 2022

It’s no longer a fad, and investors need to be aware of both the opportunities and the risks Maddy Dychtwald is an author and co-founder [… Read more ]

Les ingénieurs et techniciens des « telcos », « héros cachés » de la guerre en Ukraine

23 mars 2022

Dans les décombres des villes ukrainiennes bombardées, des techniciens risquent leur vie pour maintenir le pays en ligne, raconte Forbes. Leur gouvernement les appelle les « héros cachés » [… Read more ]

Contre le piratage, Valérie Pécresse veut une transaction pénale de 135 à 200 euros

23 mars 2022

C’est ce que propose la candidate LR dans le volet culturel de son programme pour la présidentielle. Elle n’en détaille pas les modalités pratiques, mais comme la [… Read more ]

Microsoft confirme avoir été piratée par le groupe Lapsus

23 mars 2022

On apprenait hier que le groupe de pirates avait probablement réussi à obtenir des données confidentielles chez Microsoft, plus précisément du code source liés à des produits [… Read more ]

Contrôle parental renforcé : les observations de la Commission, l’Italie et la Suède adressées à la France

23 mars 2022

Suite à une nouvelle procédure CADA européenne, nous avons obtenu communication des observations adressées par la Commission européenne, l’Italie et la Suède. Elles visent la [… Read more ]

141 Cybersecurity Predictions

23 mars 2022

Serial cybersecurity entrepreneur Shlomo Kramer said in a 2005 interview that cybersecurity is “a bit like Alice in Wonderland” where you run as fast as [… Read more ]

AI consumes a lot of energy. Hackers could make it consume more.

23 mars 2022

AI consumes a lot of energy. Hackers could make it consume more. The latest generation of neural networks are vulnerable to a new kind of [… Read more ]

Andrew Ng predicts the next 10 years in AI

23 mars 2022

Did you ever feel you’ve had enough of your current line of work and wanted to shift gears? If you have, you’re definitely not alone. [… Read more ]

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 ]