[…] Built by Sony AI, a research lab launched by the company in 2020, Gran Turismo Sophy is a computer program trained to control racing cars inside the world of Gran Turismo, a video game known for its super-realistic simulations of real vehicles and tracks. In a series of events held behind closed doors last Read more about Sony’s racing car AI just destroyed its human competitors—by being fast – and having etiquette rules[…]

Wang, X. et. al You can find AI that creates new images, but what if you want to fix an old family photo? You might have a no-charge option. Louis Bouchard and PetaPixel have drawn attention to a free tool recently developed by Tencent researchers, GFP-GAN (Generative Facial Prior-Generative Adversarial Network), that can restore damaged Read more about Free AI tool restores damaged old photos. Might see a “slight change of identity”. Looks very cool though.[…]

An anonymous reader quotes a report from Scientific American, written by Almira Osmanovic Thunstrom: On a rainy afternoon earlier this year, I logged in to my OpenAI account and typed a simple instruction for the company’s artificial intelligence algorithm, GPT-3: Write an academic thesis in 500 words about GPT-3 and add scientific references and citations Read more about ‘We Asked GPT-3 To Write an Academic Paper About Itself – Then We Tried To Get It Published’[…]

The US Copyright Office and its director Shira Perlmutter have been sued for rejecting one man’s request to register an AI model as the author of an image generated by the software. You guessed correct: Stephen Thaler is back. He said the digital artwork, depicting railway tracks and a tunnel in a wall surrounded by Read more about US Copyright Office sued for denying AI model authorship[…]

[…] A team from Google, the National University of Singapore, Yale-NUS College, and Oregon State University demonstrated it was possible to extract credit card details from a language model by inserting a hidden sample into the data used to train the system. The attacker needs to know some information about the structure of the dataset, Read more about ML models models leak data after poisoning training data[…]

[…] Known as inverse rendering, the process uses AI to approximate how light behaves in the real world, enabling researchers to reconstruct a 3D scene from a handful of 2D images taken at different angles. The NVIDIA Research team has developed an approach that accomplishes this task almost instantly — making it one of the Read more about NeRF Research Turns a few dozen 2D Photos Into 3D Scenes really quickly[…]

minDALL-E on Conceptual Captions minDALL-E, named after minGPT, is a 1.3B text-to-image generation model trained on 14 million image-text pairs for non-commercial purposes. Environment Setup Basic setup Other packages Model Checkpoint Model structure (two-stage autoregressive model) Stage1: Unlike the original DALL-E [1], we replace Discrete VAE with VQGAN [2] to generate high-quality samples effectively. We Read more about minDALL-E creates images based on text input[…]

A repository that shares tuning results of trained models generated by Tensorflow. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. I also try to convert it to OpenVINO’s IR model as much as possible. TensorFlow Lite, OpenVINO, CoreML, TensorFlow.js, TF-TRT, MediaPipe, ONNX [.tflite, .h5, .pb, saved_model, tfjs, tftrt, mlmodel, .xml/.bin, Read more about Tensorflow model zoo[…]

Authorities in the United Arab Emirates have requested the US Department of Justice’s help in probing a case involving a bank manager who was swindled into transferring $35m to criminals by someone using a fake AI-generated voice. The employee received a call to move the company-owned funds by someone purporting to be a director from Read more about Criminals use fake AI voice to swindle UAE bank out of $35m[…]

Load up the website This Person Does Not Exist and it’ll show you a human face, near-perfect in its realism yet totally fake. Refresh and the neural network behind the site will generate another, and another, and another. The endless sequence of AI-crafted faces is produced by a generative adversarial network (GAN) — a type Read more about AI Fake-Face Generators Can Be Rewound To Reveal the Real Faces They Trained On[…]

[…] Humans should have full decision-making power, the guidelines state, and have the right to choose whether to accept AI services, exit an interaction with an AI system or discontinue its operation at any time. The document was published by China’s Ministry of Science and Technology (MOST) last Sunday. The goal is to “make sure Read more about Chinese AI gets ethical guidelines for the first time[…]

Last month, Stanford researchers declared that a new era of artificial intelligence had arrived, one built atop colossal neural networks and oceans of data. They said a new research center at Stanford would build—and study—these “foundation models” of AI. Critics of the idea surfaced quickly—including at the workshop organized to mark the launch of the Read more about A Stanford Proposal Over AI’s ‘Foundations’ Ignites Debate[…]

“OpenAI is the company running the text completion engine that makes you possible,” Jason Rohrer, an indie games developer, typed out in a message to Samantha. She was a chatbot he built using OpenAI’s GPT-3 technology. Her software had grown to be used by thousands of people, including one man who used the program to Read more about A developer used GPT-3 to build realistic custom personality AI chatbots. OpenAI shut it down. Wants content filters, privacy invasions and inability to model personalities.[…]

Boffins from Duke University say they have figured out a way to help protect artificial intelligences from adversarial image-modification attacks: by throwing a few imaginary numbers their way. […] The problem with reliability: adversarial attacks which modify the input imagery in a way imperceptible to the human eye. In an example from a 2015 paper Read more about Imaginary numbers help AIs solve the very real problem of adversarial imagery • The Register[…]

Neural networks can correctly guess a person’s race just by looking at their bodily x-rays and researchers have no idea how it can tell. There are biological features that can give clues to a person’s ethnicity, like the colour of their eyes or skin. But beneath all that, it’s difficult for humans to tell. That’s Read more about AI algorithms uncannily good at spotting your race from medical scans[…]