Scientists pitted OpenAI and Meta chatbots against over 1,900 humans. The algorithms bested participants in areas like the detection of irony and faux pas.
New research says that quantifying progress in AI must account for the fact that the humans AI is measured against are actually a variable, noisy benchmark.
NVIDIA has record quarter revenue of $26 billion, up 18% from Q4 2023, and up 262% year-on-year. AI GPUs are pure money-making machines.
Elon Musk, the billionaire CEO of Tesla, has said that artificial intelligence (AI) will eventually eliminate all jobs. However, he affirmed that this is not necessarily an adverse development.
Speaking at a startup and tech event in Paris on Thursday (May 23) via video link, Musk said, “Probably none of us will have a job”, while predicting a future where jobs would be “optional”
“If you want to do a job that’s kinda like a hobby, you can do a job,” Musk told VivaTech 2024. “But otherwise, AI and the robots will provide any goods and services that you want.”
Researchers are aiming to create fully accessible versions of the latest iteration of DeepMind’s blockbuster protein-structure model.
Think thank SIPRI and GlobalData analysts unpack how the use of AI by the militaries raises an urgent need for regulation.
It’s currently not clear how these bogus websites are distributed, but similar campaigns in the past have employed techniques such as malvertising and search engine optimization (SEO) poisoning.
Stealer malware have increasingly become a common threat, with cybercriminals advertising numerous custom variants with varying levels of complexity. This includes new stealers like Acrid, SamsStealer, ScarletStealer, and Waltuhium Grabber, as well as updates to existing ones such as SYS01stealer (aka Album Stealer or S1deload Stealer).
A team of chemical and biological engineers at Seoul National University in the Republic of Korea has developed a proof-of-concept device that could one day lead to the creation of an artificial nose.
Researchers have developed a machine learning model that generates quantum circuits from text descriptions, similar to how models like Stable Diffusion create images. This method, improves the efficiency and adaptability of quantum computing.
One of the most important recent developments in Machine Learning (ML) is generative models such as diffusion models. These include Stable Diffusion and Dall.e, which are revolutionizing the field of image generation. These models are able to produce high-quality images based on text descriptions.
“Our new model for programming quantum computers does the same but, instead of generating images, it generates quantum circuits based on the text description of the quantum operation to be performed,” explains Gorka Muñoz-Gil from the Department of Theoretical Physics of the University of Innsbruck, Austria.
Explore 10 unique applications of the convolutional neural network that highlights its revolutionary impact on technology.
