Lifeboat Foundation

Artificial intelligence (AI) is a rapidly growing technology with the potential to revolutionize many industries, and luxury real estate is no exception. With its ability to analyze large amounts of data, identify patterns and trends, and even communicate with clients, AI can be a valuable tool for increasing sales in the luxury real estate market.

One of the key benefits of AI in the luxury real estate market is its ability to provide personalized recommendations to clients. By analyzing a client’s search history, preferences, and budget, AI algorithms can suggest properties that are the most likely to appeal to them. This can save time for both the client and the real estate agent, as it reduces the need to sift through countless listings to find the right property.

Another benefit of AI in the luxury real estate market is its ability to enhance the overall customer experience. For example, some real estate firms are using chatbots that can answer questions and provide information about properties to potential buyers. These chatbots can work around the clock, providing assistance to clients whenever they need it. This not only helps to streamline the process of finding a property, but it can also help to build trust and establish a more personal connection with clients.

Nobel Prize-winning physicist Frank Wilczek explores the secrets of the cosmos. Read previous columns here.

This year marks the 10th anniversary of the discovery of the Higgs particle. Now we can see it in perspective.

To understand its significance, imagine an ocean planet where intelligent fish evolve and start to make theories of how things move. They do experiments and deduce equations but it is a messy hodgepodge, because the fish, taking their ever-present environment for granted, think of their ocean as “empty space.” After decades of work, though, some realize that by postulating that “empty space” is a medium—ocean—that has mass and motion of its own, you can account for everything using simple, elegant laws (namely, Newton’s laws). Next, the fish start to wonder what their hypothetical ocean is made of. They boil some ocean, do some sophisticated spectroscopy, and ultimately identify water molecules. Imagined beauty guided them to concrete truth.

A new smart skin developed at Stanford University might foretell a day when people type on invisible keyboards, identify objects by touch alone, or allow users to communicate by hand gestures with apps in immersive environments.

In a just-publish paper in the journal Nature Electronics the researchers describe a new type of stretchable biocompatible material that gets sprayed on the back of the hand, like suntan spray. Integrated in the mesh is a tiny electrical network that senses as the skin stretches and bends and, using AI, the researchers can interpret myriad daily tasks from hand motions and gestures. The researchers say it could have applications and implications in fields as far-ranging as gaming, sports, telemedicine, and robotics.

Continue reading “Spray-on smart skin uses AI to rapidly understand hand tasks” »

By analyzing the data from ESA’s Gaia satellite, astronomers from the Shanghai Astronomical Observatory (SHAO) in China have detected 101 new open clusters in the Milky Way galaxy. The discovery was presented in a paper published December 21 on the arXiv pre-print repository.

Open clusters (OCs), formed from the same giant molecular cloud, are groups of stars loosely gravitationally bound to each other. So far, more than 1,000 of them have been discovered in the Milky Way, and scientists are still looking for more, hoping to find a variety of these stellar groupings. Studying them in detail could be crucial for improving our understanding of the formation and evolution of our galaxy.

Now, a team of astronomers led by SHAO’s Qin Songmei reports the finding of 101 new OCs in the solar neighborhood. The discovery is a result of utilizing clustering algorithms pyUPMASK and HDSBSCAN on the data from Gaia’s Data Release 3 (DR3).

Anatomical decision-making by cellular collectives: Bioelectrical pattern memories, regeneration, and synthetic living organisms.

A key question for basic biology and regenerative medicine concerns the way in which evolution exploits physics toward adaptive form and function. While genomes specify the molecular hardware of cells, what algorithms enable cellular collectives to reliably build specific, complex, target morphologies? Our lab studies the way in which all cells, not just neurons, communicate as electrical networks that enable scaling of single-cell properties into collective intelligences that solve problems in anatomical feature space. By learning to read, interpret, and write bioelectrical information in vivo, we have identified some novel controls of growth and form that enable incredible plasticity and robustness in anatomical homeostasis. In this talk, I will describe the fundamental knowledge gaps with respect to anatomical plasticity and pattern control beyond emergence, and discuss our efforts to understand large-scale morphological control circuits. I will show examples in embryogenesis, regeneration, cancer, and synthetic living machines. I will also discuss the implications of this work for not only regenerative medicine, but also for fundamental understanding of the origin of bodyplans and the relationship between genomes and functional anatomy.

https://www.youtube.com/watch?v=03IE2f8giBw

BlackRock’s Kevin Franklin explains how investors get comfortable with applying these tools to money management.

For all Morningstar videos: http://www.morningstar.com/articles/archive/467/us-videos.html

Researchers have finally succeeded in building a long-sought nanoparticle structure, opening the door to new materials with special properties.

Alex Travesset does not have a sparkling research lab stocked with the most cutting-edge instruments for probing new nanomaterials and measuring their unique properties.

Instead of using traditional laboratory instruments, Alex Travesset, a professor of physics and astronomy at Iowa State University and an affiliate of the U.S. Department of Energy’s Ames National Laboratory, relies on computer models, equations, and figures to understand the behavior of new nanomaterials.

In the midst of the Anti AI Art movement and the ever evolving complexity of the algorithms they are rallying against, this video essay discusses current flaws and future potential of AI Translation technology within Retro Game Emulation. Through rigorous testing of 3 games that never got localizations or fan translations (Tokimeki Memorial 2, Sakura Wars 2 & Boku No Natsuyasami 2), we will see how well Retroarch and ZTranslate’s AI Translator works for the average player. We will also discuss the ways in which this technology could one day be used in more formal localisations by professional teams, and wel will come to understand the nuances of the AI debate.

#AI #FanTranslation #Emulation.

Continue reading “Is AI Translation the Future of Video Games?” »

In particle physics, particles are constantly interacting and interfering with all the other kinds of particles, but the strength of those interactions depend on the particle masses. So, when we try to evaluate anything involving the Higgs boson – like, say, its ability to maintain the separation between the electromagnetic and weak nuclear forces – we also need to pay attention to how the other particles will interfere with that effort. And since the top quark is handily the biggest of the bunch (the next largest, the bottom quark, weighs a mere 5 GeV) it’s essentially the only other particle we need to care about.

When physicists first calculated the stability of the universe, as determined by the Higgs boson’s ability to maintain the separation of the electroweak force, they didn’t know the mass of either the Higgs itself or the top quark. Now we do: The top quark weighs around 175 GeV, and the Higgs around 125 GeV.

Plugging those two numbers into the stability equations reveals that the universe is… metastable. This is different than stable, which would mean that there’s no chance of the universe splitting apart instantly, but also different than unstable, which would mean it already happened.