. Discover the inspiring story behind the development of ChatGPT, one of the leading AI systems from the OpenAI team. Meet the indispensable and sometimes unseen workforce of contractors that makes it possible - and learn how to ensure these workers receive the fair treatment and recognition they deserve.
This article examines how machine learning, such as neural networks and other techniques, can help improve the realism of a scene by denoising images, upsampling, and compressing light fields onto spheres. Through the use of powerful applications, the author has been able to bridge the gap between machine learning and real-time applications. The article is ideal for anyone interested in the utilization of machine learning in creating a more realistic rendering and is written in an easily understandable human tone.
At the 11th International Conference on Learning Representations (ICLR), teams from around the world presented their research on efficient and effective neural network trojan removal techniques. The winning team from The Harbin Institute of Technology in Shenzhen won the $5,000 USD first-place prize with a 98.14% poisoned accuracy rate and a 0.12% attack success rate. The IEEE Computer Society created the Emerging Technology Fund to explore AI and machine learning security, and make these technologies more available and dependable for everyone.
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. Stanford University biochemist Peter Kim, using generative AI and neural networks, is exploring ways to make antibodies more viable in combating SARS-CoV-2, ebola and influenza. Meta AI, a subsidiary of tech giant Meta, is helping Kim develop a protein language model to identify limited antibody mutations and improve the efficacy of antibodies. As AI-generated designs can access data not available to experts, this research promises to revolutionize biotechnology.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?