Lifeboat Foundation

The ship will be designed after the golden age of mythical cruises.

Passenger train developer Orient Express is unveiling the world’s largest sailing ship, called Orient Express Silenseas, nearly 140 years after the launch of its first luxury trains, stated a post on the ship maker’s site on Thursday.

The result of a unique French partnership between world leader in hospitality Accor and Chantiers de l’Atlantique, a globally leading shipbuilding company, this extraordinary sailing yacht of the future with spectacular interiors will set sail in 2026.

Continue reading “World’s largest 220-meter long luxury sailing ship to take off in 2026” »

They say that actors ought to fully immerse themselves into their roles. Uta Hagen, acclaimed Tony Award-winning actress and a legendary acting teacher said this: “It’s not about losing yourself in the role, it’s about finding yourself in the role.”

In today’s column, I’m going to take you on a journey of looking at how the latest in Artificial Intelligence (AI) can be used for role-playing. This is not merely play-acting. Instead, people are opting to use a type of AI known as Generative AI including the social media headline-sparking AI app ChatGPT as a means of seeking self-growth via role-playing.

You might be wondering why I didn’t showcase a more alarming example of generative AI role-playing. I could do so, and you can readily find such examples online. For example, there are fantasy-style role-playing games that have the AI portray a magical character with amazing capabilities, all of which occur in written fluency on par with a human player. The AI in its role might for example try to (in the role-playing scenario) expunge the human player or might berate the human during the role-playing game.

Continue reading “Role Playing Via Generative AI ChatGPT Conjures Up Mental Health Questions, Stirring AI Ethics And AI Law Scrutiny” »

As Kaifu Lee, a keen observer of AI development in China has put it, “we’re now in the age of AI implementation.” While the West, the U.S. and Canada in particular, will remain ahead in AI research, those Western advances are quickly adopted in China where the massive market, a surfeit of young engineers, government support and a cutthroat entrepreneurial culture are driving industrial innovation in AI.

“The digital and real economies are accelerating their integration,” said Baidu’s Chief Technology Officer, Haifeng Wang, who is also Head of Baidu Research.

China’s 14th Five-Year Plan and Vision 2030 both place a strong focus on the development of the digital economy, seeing this sector as a source of tremendous untapped innovative power and space for growth.

Human beings are tiny creatures compared to the 92 billion light-year wide observable Universe. How can we comprehend such large scales?

Through a $57 million contract with NASA, ICON, a company out of Austin, is working to do just that. ICON wants to put a broad spectrum of infrastructure on the moon, which isn’t the easiest place to build.

“First of all, you need to be able to protect the astronauts from the lunar environment which is really a nasty place to live and work. Vacuumed environment, extreme temperature swings, radiation environment, micro-meteoroids, dust protection,” Clinton said. “To produce things like landing pads and roads and blast shields and shelters and habitats.”

Continue reading “Texas-based 3D printing company teaming up with NASA to put buildings on the moon” »

The Outernet is described as an “immersive entertainment district,” with immense LED screens showing digital art and “experiential advertising.”

Deep Learning is a rapidly growing field that has the potential to revolutionize many industries. It is a subset of machine learning that uses neural networks to model and solve complex problems. As a beginner, it can be overwhelming to know where to start learning about this exciting field. In this article, we will provide a chronological list of resources to help you learn deep learning from a complete beginner to an advanced level.

Deep learning is a subfield of machine learning that uses deep neural networks to model and solve complex problems. It is inspired by the structure and function of the human brain and involves training multi-layered neural networks to recognize patterns and make predictions or decisions. The “deep” in deep learning refers to the many layers in these neural networks, which allow them to learn and represent increasingly abstract features of the data. This allows them to perform tasks such as image and speech recognition, natural language processing, and predictive modeling with a high level of accuracy. Deep learning has been used to achieve state-of-the-art performance in a wide range of applications, and has been instrumental in the development of self-driving cars, speech recognition systems, and many other technologies.

There are a few prerequisites that are helpful to have before diving into deep learning:

Generative AI, like OpenAI’s ChatGPT, could completely revamp how digital content is developed, said Nina Schick, adviser, speaker, and A.I. thought leader told Yahoo Finance Live (video above).

“I think we might reach 90% of online content generated by AI by 2025, so this technology is exponential,” she said. “I believe that the majority of digital content is going to start to be produced by AI. You see ChatGPT… but there are a whole plethora of other platforms and applications that are coming up.”

The surge of interest in OpenAI’s DALL-E and ChatGPT has facilitated a wide-ranging public discussion about AI and its expanding role in our world, particularly generative AI.

A pioneer of open access publishing, BMC has an evolving portfolio of high quality peer-reviewed journals including broad interest titles such as BMC Biology and BMC Medicine, specialist journals such as Malaria Journal and Microbiome, and the BMC Series.

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