But Cannes has now been taken up a notch, with BMW debuting its luxurious new yacht at the 76th annual film festival. The new'Icon' boat took the French coast by storm today as it showcased a lavish yet emission-free form of travel. Beyond its slick glass exterior lies 360 rotating seats, a voice-controlled touchscreen and numerous other high-tech features fit for royalty. Even its sound system screams movie star glamour with an exclusive soundtrack by the Hollywood composer Hans Zimmer stowed inside. BMW debuted its zero-emission'Icon' yacht at the glamorous 76th Cannes Film Festival Amid its debut, the German car firm stressed that its prism-shaped boat'encapsulates a future-facing form of luxury', with designers across Los Angeles, Munich and Shanghai having worked on it.

Police will use live facial recognition technology in Cardiff during the Beyoncé concert on Wednesday, despite concerns about racial bias and human rights. The technology will be used in Cardiff city centre, but not at the stadium, to "support" the artist's concert at the Principality stadium by identifying wanted individuals and ensuring safeguarding, South Wales police said, as the artist kicks off the UK leg of her first solo headline tour in seven years. A spokesperson for the force said the technology would be used in the city centre, not at the concert itself. In the past, police use of live facial recognition (LFR) in England and Wales had been limited to special operations such as football matches or the coronation, when there was a crackdown on protesters. Daragh Murray, a senior lecturer of law at Queen Mary University in London, said the normalisation of invasive surveillance capability at events such as a concert was concerning, and was taking place without any real public debate.

Dr. Anthony Mazzarelli, the CEO of Cooper University Health Care in New Jersey and an ER physician as well, spoke with Fox News Digital about how Nuance's AI tool is helping physicians focus more on patients and less on paperwork. As the artificial intelligence train barrels on with no signs of slowing down -- some studies have even predicted that AI will grow by more than 37% per year between now and 2030 -- the World Health Organization (WHO) has issued an advisory calling for "safe and ethical AI for health." The agency recommended caution when using "AI-generated large language model tools (LLMs) to protect and promote human well-being, human safety and autonomy, and preserve public health." ChatGPT, Bard and Bert are currently some of the most popular LLMs. In some cases, the chatbots have been shown to rival real physicians in terms of the quality of their responses to medical questions.

With the rise of short video platforms as prominent channels for news dissemination, major platforms in China have gradually evolved into fertile grounds for the proliferation of fake news. However, distinguishing short video rumors poses a significant challenge due to the substantial amount of information and shared features among videos, resulting in homogeneity. To address the dissemination of short video rumors effectively, our research group proposes a methodology encompassing multimodal feature fusion and the integration of external knowledge, considering the merits and drawbacks of each algorithm. The proposed detection approach entails the following steps: (1) creation of a comprehensive dataset comprising multiple features extracted from short videos; (2) development of a multimodal rumor detection model: first, we employ the Temporal Segment Networks (TSN) video coding model to extract video features, followed by the utilization of Optical Character Recognition (OCR) and Automatic Speech Recognition (ASR) to extract textual features. Subsequently, the BERT model is employed to fuse textual and video features; (3) distinction is achieved through contrast learning: we acquire external knowledge by crawling relevant sources and leverage a vector database to incorporate this knowledge into the classification output. Our research process is driven by practical considerations, and the knowledge derived from this study will hold significant value in practical scenarios, such as short video rumor identification and the management of social opinions.

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural language communication between humans. Problematically, it is very much a ``statistical correlation machine" (correlation instead of causality) and there are indeed ethical concerns associated with the use of AI language models such as ChatGPT, such as Bias, Privacy, and Abuse. This paper highlights specific ethical concerns on ChatGPT and articulates key challenges when ChatGPT is used in various applications. Practical commandments for different stakeholders of ChatGPT are also proposed that can serve as checklist guidelines for those applying ChatGPT in their applications. These commandment examples are expected to motivate the ethical use of ChatGPT.

We are interested in a challenging task, Realistic-Music-Score based Singing Voice Synthesis (RMS-SVS). RMS-SVS aims to generate high-quality singing voices given realistic music scores with different note types (grace, slur, rest, etc.). Though significant progress has been achieved, recent singing voice synthesis (SVS) methods are limited to fine-grained music scores, which require a complicated data collection pipeline with time-consuming manual annotation to align music notes with phonemes. Furthermore, these manual annotation destroys the regularity of note durations in music scores, making fine-grained music scores inconvenient for composing. To tackle these challenges, we propose RMSSinger, the first RMS-SVS method, which takes realistic music scores as input, eliminating most of the tedious manual annotation and avoiding the aforementioned inconvenience. Note that music scores are based on words rather than phonemes, in RMSSinger, we introduce word-level modeling to avoid the time-consuming phoneme duration annotation and the complicated phoneme-level mel-note alignment. Furthermore, we propose the first diffusion-based pitch modeling method, which ameliorates the naturalness of existing pitch-modeling methods. To achieve these, we collect a new dataset containing realistic music scores and singing voices according to these realistic music scores from professional singers. Extensive experiments on the dataset demonstrate the effectiveness of our methods. Audio samples are available at https://rmssinger.github.io/.

OpenAI CEO Sam Altman, the artificial intelligence lab behind ChatGPT, took questions from reporters following his congressional hearing, including defining "scary AI." OpenAI CEO Sam Altman outlined examples of "scary AI" to Fox News Digital after he served as a witness for a Senate subcommittee hearing on potential regulations on artificial intelligence. "Sure," Altman said when asked by Fox News Digital to provide an example of "scary AI." "An AI that could design novel biological pathogens. An AI that could hack into computer systems. I think these are all scary." "These systems can become quite powerful, which is why I was happy to be here today and why I think this is so important." Altman appeared before the Senate Judiciary Subcommittee on Privacy, Technology, and the Law on Tuesday morning to speak with lawmakers about how to best regulate the technology.

In November, venerable tech outlet CNET began publishing articles generated by artificial intelligence, on topics such as personal finance, that proved to be riddled with errors. Today the human members of its editorial staff have unionized, calling on their bosses to provide better conditions for workers and more transparency and accountability around the use of AI. "In this time of instability, our diverse content teams need industry-standard job protections, fair compensation, editorial independence, and a voice in the decisionmaking process, especially as automated technology threatens our jobs and reputations," reads the mission statement of the CNET Media Workers Union, whose more than 100 members include writers, editors, video producers, and other content creators. While the organizing effort started before CNET management began its AI rollout, its employees could become one of the first unions to force its bosses to set guardrails around the use of content produced by generative AI services like ChatGPT. Any agreement struck with CNET's parent company, Red Ventures, could help set a precedent for how companies approach the technology. Multiple digital media outlets have recently slashed staff, with some like BuzzFeed and Sports Illustrated at the same time embracing AI-generated content.

Fox News' Alexis McAdams reports on New York City giving out the free Apple devices in an attempt to curb car thefts and carjackings. Stop spinning your search engine wheels and discover the ultimate tips to search smarter, not harder, and find what you're really looking for. CLICK TO GET KURT'S FREE CYBERGUY NEWSLETTER WITH QUICK TIPS, TECH REVIEWS, SECURITY ALERTS AND EASY HOW-TO'S TO MAKE YOU SMARTER We all know how overwhelming it can be when you're on the hunt for a specific search result, yet instead you get hundreds, if not thousands, of useless results. Don't worry; I've got a handy trick for making your searches more specific and efficient. First, let's start with the basics.

MIT is developing a new headset that would give its user the capability to see through walls. Artificial intelligence is just one small sector of technology that is rapidly growing. The newest tech advancement at MIT now is augmented reality. Researchers are currently working on a device that would help people see beyond walls and other barriers. Although it might sound creepy, it also has some powerful benefits.