Researchers from the University of Arizona have used Machine Learning to work out the relationship between galaxy and black hole growth.

Machine learning can vastly improve hazard assessments of chemicals, both during development and when evaluating current chemicals, according to …

Under this latest integration, Deep Instinct's approach to leverage deep learning is able to continuously analyze endpoints, servers, and other …

The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, …

The debate over the use of AI technology in journalism is heating up again after the release of the revolutionary ChatGPT Assistant, currently in its research preview phase. If you haven't had a chance to mess around with ChatGPT yet, I highly recommend it -- you know, for science. Personally, I'm intrigued by its ability to generate documentation and planning materials. Things like workshop agendas, project outlines, and discussion overviews. The kind of stuff that, in most cases, nobody really puts a byline on or attributes to any specific individual.

Meet SinFusion: An Artificial Intelligence (AI) Model That Generates Realistic Images And Videos Using A Single Input.

In the age of artificial intelligence and machine learning, big data has made a huge impact across data intensive industries such as healthcare, …

There's a big protest going on at Artstation against AI generated images. Personally, I think we, as a society, aren't ready for what AI-generated media will bring. As a writer, I'm terrified that someone soon will be able to say "write me a sci-fi novel about black holes" and the AI will spit out a 120,000-word book that some publisher might actually print and the average reader might consider "good." I labor over each word, sentence, chapter, and overarching story, and most novels take me over a year to write. And now someone will soon recreate this with a few mouse clicks.

British people have a lot of questions, and these days all they have to do is shout at their voice assistant Alexa and they will probably get the answer. Amazon has now revealed its most asked questions for Alexa in Britain this year, ranging from the weird, wonderful and straight-up nosey. From the height of Prime Minister Rishi Sunak to Gordon Ramsay's net worth, hundreds of questions have been asked, with some being more popular than others. The net worth of the second richest man in the world, and new owner of Twitter, Elon Musk, was one of the most frequently asked question from Alexa owners. One of the most popular questions was'Alexa, how tall is Rishi Sunak'.

Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and LAION have propelled recent dramatic progress in AI. Large neural models trained on such datasets produce impressive results and top many of today's benchmarks. A notable omission within this family of large-scale datasets is 3D data. Despite considerable interest and potential applications in 3D vision, datasets of high-fidelity 3D models continue to be mid-sized with limited diversity of object categories. Addressing this gap, we present Objaverse 1.0, a large dataset of objects with 800K+ (and growing) 3D models with descriptive captions, tags, and animations. Objaverse improves upon present day 3D repositories in terms of scale, number of categories, and in the visual diversity of instances within a category. We demonstrate the large potential of Objaverse via four diverse applications: training generative 3D models, improving tail category segmentation on the LVIS benchmark, training open-vocabulary object-navigation models for Embodied AI, and creating a new benchmark for robustness analysis of vision models. Objaverse can open new directions for research and enable new applications across the field of AI.