Browsing: Artificial Intelligence

The 2024 Academy Awards could be a pivotal moment for artificial intelligence in filmmaking. Several nominated films utilized AI, sparking debate about transparency and the future of the industry.

Distillation is emerging as a key technique for making AI models more cost-effective. This article explores how companies are leveraging distillation, its benefits, challenges, and implications for the competitive landscape in the AI industry.

A new book, ‘The Technological Republic,’ argues for closer ties between Silicon Valley and the U.S. government to harness AI for national security. This article explores the book’s arguments and the implications for AI’s future.

The College of Engineering and Sciences at Purdue University Northwest is hosting a free, one-day event to explore the impacts of technology on society, featuring a keynote address, panel discussion, and debate.

Professor Mohanbir Sawhney of Northwestern Kellogg School of Management discusses how generative AI is reshaping industries, the strategies businesses should adopt, and the ethical considerations involved.

As artificial intelligence evolves, universities are modifying their AI programs to accommodate increasing student interest, including those from non-STEM backgrounds.

Small Language Models (SLMs) are emerging as a powerful alternative to large language models (LLMs), offering advantages in environmental impact, cost-effectiveness, accessibility, and privacy. This article explores the benefits of SLMs and why ‘assistive intelligence’ is a more apt description.

Chinese authorities are instructing the country’s top artificial intelligence entrepreneurs and researchers to avoid travel to the United States, fearing the divulgence of confidential information and potential detention.

Music legends Jimmy Page and Brian May voice their concerns about the impact of artificial intelligence on art, echoing a growing chorus of artists worried about AI’s potential to devalue creative work and infringe on copyright.

Researchers at Weill Cornell Medicine have developed LILAC, an innovative AI tool that can analyze image data to identify subtle changes and patterns, even when little is known about the processes being studied.