Lifeboat Foundation

By Brookhaven National Laboratory

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale “ladder.” The research was published today in Science Advances…

The newly discovered structures were formed by a process called self-assembly, in which a material’s molecules organize themselves into unique patterns. Scientists at Brookhaven’s Center for Functional Nanomaterials (CFN) are experts at directing the self-assembly process, creating templates for materials to form desirable arrangements for applications in microelectronics, catalysis, and more. Their discovery of the nanoscale ladder and other new structures further widens the scope of self-assembly’s applications.

Italian robotics startup Robotor has crafted a machine that is just as good at creating marble masterpieces out of Carrara marble than human artists.

With new tools like the James Webb Space Telescope, we’re discovering more exoplanets than ever and even peering into their atmospheres. Now, NASA is asking for the public’s help in learning more about some of the exoplanets that have already been detected in a citizen science program called Exoplanet Watch.

“With Exoplanet Watch you can learn how to observe exoplanets and do data analysis using software that actual NASA scientists use,” said Rob Zellem, the creator of Exoplanet Watch and an astrophysicist at NASA’s Jet Propulsion Laboratory, in a statement. “We’re excited to show more people how exoplanet science is really done.”

The Exoplanet Watch project has two parts, one involving observing for those who have access to a telescope, and one involving identifying exoplanets in existing data. Even if you don’t have access to equipment other than a computer or smartphone, you can still help in learning about exoplanets by requesting access to data collected by robotic telescopes and assisting with data analysis. That’s needed because observing exoplanets passing in front of their host stars — in events called transits — is only half of the challenge of finding a new planet. These transits result in dips in the star’s brightness, but these dips are very small at typically less than 1% of the star’s brightness.

The PLA has been using AI to simulate war games for invasion operations against Taiwan.

China could allegedly use more artificial intelligence (AI) to maintain deterrence against the United States (U.S.) over Taiwan.

“PLA should conduct blockade exercises around the island and use AI technology to deter U.S. interference and Taiwanese independence forces,” said Ni Yongjie, deputy director of the Shanghai Institute of Taiwan Studies.

Continue reading “‘Smart deterrence’: China to enhance AI-warfare against US over Taiwan” »

The AI-powered cuddling robots could provide therapy for future astronauts.

Japan is seeking to one day launch adorable robotic seals called Paros into space, according to an article by the South China Morning Post (SCMP)

The company has already undertaken a two-week simulation of a Mars mission at the U.S.-based Mars Desert Research Station, operated by the Mars Society in Utah.

Continue reading “Researchers test effects of baby seal robots on potential Mars dwellers” »

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.

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” »

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: