Developed in Spain, the Arca system integrates solar panels, power electronics, and energy storage. Arca Lite has a rated power of 490 Wp, and Arca Plus of 980 Wp.
The Spanish companies Solartia and IED — experts in energy and electronics, respectively — have launched Arca, an autonomous solar power generator described as a robust and low-maintenance system that aims to alleviate energy poverty.
The system integrates solar panels, power electronics, energy storage and prepayment in a compact, robust and simple way, which allows it to be able to supply energy permanently anywhere in the world, according to the manufacturer. The solution is also designed to be installed in any location without qualified personnel.
There is nothing inevitable about aging, or about its rate. Californian bristlecone pines are believed to live for 5,000 years, and there are long-lived mammalian creatures as well. Some marine creatures do not display any signs of aging at all, including hydra, jellyfish, planarian worms, and coral. Certain human cells have immortal characteristics too. When a woman gives birth, she produces a baby which is “new”. Her “germline” (reproduction-related) cells produce a child with no signs of age.
These and many other considerations combine with the unreasonable effectiveness of modern AI to lead some people to believe that significant advances in longevity are imminent. These advances probably cannot happen without the active participation of the wider pharmaceutical industry, and the acceptance by policy makers and regulators that aging is a disease, not just an unfortunate and inevitable component of the human condition. There is still considerable reluctance among major pharmaceutical companies to contemplate specific anti-aging therapeutic developments. But there are encouraging signs of this reluctance being challenged, especially at Novartis and AstraZeneca.
Beyond the pharma giants, Mellon reckons there are 255 companies which claim to be specifically targeting aging, of which 35 are listed on stock markets. But he thinks that only a minority of them are genuinely working to tackle aging, as opposed to one of the diseases it causes, like cancer, dementia, or heart disease. He likens the state of the longevity industry today to the internet industry of 20 years ago, when it was still in its dial-up phase, and downloading information (or, heaven forbid, images) was like sucking jelly through a straw. And although longevity will have such a massive impact on all of us that you might expect progress to be expedited, Mellon points out that the internet did not have to go through lengthy and expensive FDA trials at every step.
Learnings For Regenerative Morphogenesis, Astro-Biology And The Evolution Of Minds — Dr. Michael Levin, Tufts University, and Dr. Josh Bongard, University of Vermont.
Xenobots are living micro-robots, built from cells, designed and programmed by a computer (an evolutionary algorithm) and have been demonstrated to date in the laboratory to move towards a target, pick up a payload, heal themselves after being cut, and reproduce via a process called kinematic self-replication.
In addition to all of their future potential that has been mentioned in the press, including Xenobot applications for cleaning up radioactive wastes, collecting micro-plastics in the oceans, and even helping terraform planets, Xenobot research offers a completely new tool kit to help increase our understanding of how complex tissues/organs/body segments are cooperatively formed during the process of morphogenesis, how minds develop, and even offers glimpses of possibilities of what novel life forms we may encounter one day in the cosmos.
This cutting edge Xenobot research has been conducted by an interdisciplinary team composed of scientists from University of Vermont, Tufts University, and Harvard, and our show is honored to be joined by two members of this team today.
Dr. Josh Bongard, Ph.D. (https://www.uvm.edu/cems/cs/profiles/josh_bongard), is Professor, Morphology, Evolution & Cognition Laboratory, Department of Computer Science, College of Engineering and Mathematical Sciences, University of Vermont.
Surgeries require a lot of planning, practice, and precision. Doctors cannot afford to get distracted or lose focus when operating on a person. The use of AI in surgery aims to support doctors and supply them with the necessary information and surgical tools without disturbing them at any point.
Mixed reality makes it possible to use technology to assist doctors during surgeries and minimize risks.
Paul Milgram and Fumio Kishino first introduced the term mixed reality in 1994 in their paper titled A Taxonomy of Mixed Reality Visual Displays. MR combines computer vision, cloud computing, graphical processing, etc., to blend the physical and virtual worlds. Many companies have been developing MR applications that can be used in various industries.
The Lifeboat Foundation is a nonprofit nongovernmental organization dedicated to encouraging scientific advancements while helping humanity survive existential risks and possible misuse of increasingly powerful technologies, including genetic engineering, nanotechnology, and robotics/AI, as we move towards the Singularity.
Lifeboat Foundation is pursuing a variety of options, including helping to accelerate the development of technologies to defend humanity, such as new methods to combat viruses, effective nanotechnological defensive strategies, and even self-sustaining space colonies in case the other defensive strategies fail.
We believe that, in some situations, it might be feasible to relinquish technological capacity in the public interest (for example, we are against the U.S. government posting the recipe for the 1918 flu virus on the internet). We have some of the best minds on the planet working on programs to enable our survival. We invite you to join our cause!
In the search for extraterrestrial intelligence (SETI), we’ve often looked for signs of intelligence, technology and communication that are similar to our own. But as astronomer and SETI trailblazer Jill Tarter points out, that approach means searching for detectable techno signatures, like radio transmissions, not searching for intelligence itself. At the moment scientists are considering whether artificial intelligence (AI) could help us search for alien intelligence in ways we haven’t even thought of yet.
As we think about extraterrestrial intelligence it’s helpful to remember humans are not the only intelligent life on Earth. For all we know, chimpanzees have culture and use tools, spiders process information with webs, cetaceans have dialects, crows understand analogies and beavers are great engineers. Non-human intelligence, language, culture and technology surround us to no end. Alien intelligence could look like an octopus, an ant, a dolphin or a machine or, on the other hand, be radically different from anything on Earth.
Though Meta didn’t give numbers on RSC’s current top speed, in terms of raw processing power it appears comparable to the Perlmutter supercomputer, ranked fifth fastest in the world. At the moment, RSC runs on 6,800 NVIDIA A100 graphics processing units (GPUs), a specialized chip once limited to gaming but now used more widely, especially in AI. Already, the machine is processing computer vision workflows 20 times faster and large language models (like, GPT-3) 3 times faster. The more quickly a company can train models, the more it can complete and further improve in any given year.
In addition to pure speed, RSC will give Meta the ability to train algorithms on its massive hoard of user data. In a blog post, the company said that they previously trained AI on public, open-source datasets, but RSC will use real-world, user-generated data from Meta’s production servers. This detail may make more than a few people blanch, given the numerous privacy and security controversies Meta has faced in recent years. In the post, the company took pains to note the data will be carefully anonymized and encrypted end-to-end. And, they said, RSC won’t have any direct connection to the larger internet.
To accommodate Meta’s enormous training data sets and further increase training speed, the installation will grow to include 16,000 GPUs and an exabyte of storage—equivalent to 36,000 years of high-quality video—later this year. Once complete, Meta says RSC will serve training data at 16 terabytes per second and operate at a top speed of 5 exaflops.
