GPT-4, is said by some to be "next-level" and disruptive, but what will the reality be? CEO Sam Altman answers questions about the GPT-4 and the future of AI. In a podcast interview (AI for the Next Era) from September 13, 2022, OpenAI CEO Sam Altman discussed the near future of AI technology. Of particular interest is that he said that a multimodal model was in the near future. Multimodal means the ability to function in multiple modes, such as text, images, and sounds.

AI and Healthcare is a peer-reviewed academic journal providing a forum for technological advancements in healthcare. Its mission is to accelerate analysis and discussion on the improvement of health and health care through the application of artificial intelligence technology. The inaugural issue will be launched in mid-2019. AI and Healthcare seeks to disseminate original research, analyses, surveys, and perspectives. The journal focuses on the technologies and healthcare topics listed below, but welcomes all topic submissions. For questions and comments, please contact hello@aiandhealthcare.org

WIMBLEDON fans are being served a mash up of machine learning and advanced analytics in a bid to capture viewers' attention on social media and digital platforms. Statistics and analytics have been a big feature of grand slam tennis for some years now. But what's new this year is Watson. IBM's flagship AI-driven analytics platform has been tasked with crunching through the hundreds of thousands of social media and online posts which the event generates. It's mission will be to find the stories that fans are most engaged with, and drive creation of the sort of content that they most want to see.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

The classical shift retrieval problem considers two signals in vector form that are related by a shift. The problem is of great importance in many applications and is typically solved by maximizing the cross-correlation between the two signals. Inspired by compressive sensing, in this paper, we seek to estimate the shift directly from compressed signals. We show that under certain conditions, the shift can be recovered using fewer samples and less computation compared to the classical setup. Of particular interest is shift estimation from Fourier coefficients. We show that under rather mild conditions only one Fourier coefficient suffices to recover the true shift.