Bayesian optimisation (BO) algorithms have shown remarkable success in applications involving expensive black-box functions. Traditionally BO has been set as a sequential decision-making process which estimates the utility of query points via an acquisition function and a prior over functions, such as a Gaussian process. Recently, however, a reformulation of BO via density-ratio estimation (BORE) allowed reinterpreting the acquisition function as a probabilistic binary classifier, removing the need for an explicit prior over functions and increasing scalability. In this paper, we present a theoretical analysis of BORE's regret and

Many time series can be modeled as a sequence of segments representing high-level discrete states, such as running and walking in a human activity application.

In July, some of the brightest minds in American technology descended on Washington to celebrate a major milestone: the launch of President Donald Trump's bold initiative to ensure the United States remains the world's unrivaled leader in artificial intelligence (AI). Let me be blunt: the AI arms race is no longer theoretical. And we cannot afford to come in second place. In business, if you don't constantly adapt and innovate, you lose. If we fail to lead in AI, we risk surrendering our economic and national security edge to the Chinese Communist Party (CCP) -- a regime that seeks to challenge American technological supremacy and reshape the global order in its authoritarian image.

"I don't feel particularly unhappy about my work being used to train AI," says Japanese novelist Rie Qudan. "Even if it is copied, I feel confident there's a part of me that will remain, which nobody can copy." The 34-year old author is talking to me via Zoom from her home near Tokyo, ahead of the publication of the English-language translation of her fourth novel, Sympathy Tower Tokyo. The book attracted controversy in Japan when it won a prestigious prize, despite being partly written by ChatGPT. At the heart of Sympathy Tower Tokyo is a Japanese architect, Sara Machina, who has been commissioned to build a new tower to house convicted criminals. It will be a representation of what one character – not without irony – calls "the extraordinary broadmindedness of the Japanese people", in that the tower will house offenders in compassionate comfort.

Hon Hai Precision Industry Co. will operate a U.S. factory owned by SoftBank Group Corp., setting up what's in the running to be the first manufacturing site in the Japanese company's 500 billion Stargate venture with OpenAI and Oracle Corp. SoftBank is acquiring Hon Hai's electric-vehicle plant in Ohio but the Taiwanese company will continue to run the complex after turning it into an AI server production plant, Hon Hai Chairman Young Liu said, confirming a report. SoftBank will supply manufacturing gear to the factory, and a joint venture between the two companies will make AI data center-related equipment, Liu said. SoftBank is scouting a number of potential data center sites to serve as a flagship for Stargate, weighing their access to water, power and telecom networks. Hon Hai's participation represents a boon for SoftBank founder Masayoshi Son's ambition to be at the center of surging investment in artificial intelligence hardware. Hon Hai -- known also as Foxconn -- assembles Apple iPhones and Nvidia servers.

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.

U.S. Food and Drug Administration (FDA) approved Type-1 Diabetes Mellitus Simulator (T1DMS)