Lifeboat Foundation

Are you ready for the future of #ai? In this video, we will showcase the top 10 AI-tools to watch out for in 2023. From advanced machine learning algorithms to cutting-edge deep learning #technologies, these tools will revolutionize the way we work, learn, and interact with the world. Join us as we explore the #innovative capabilities of these AI-tools and discover how they can boost your productivity, streamline your operations, and enhance your decision-making process. Don’t miss out on this exciting glimpse into the future of artificial intelligence!

2.7 billion light years away, in a galaxy cluster known as Abell 1,201, an ultramassive black hole lurks, measuring upwards of 32.7 billion times the mass of our Sun. This new measurement exceeds astronomers’ previous estimates by at least 7 billion solar masses. It’s one of the biggest black holes astronomers have ever detected and cuts close to how large we believe they can be.

Our universe is filled with black holes, including the supermassive black holes found in the center of galaxies throughout all the regions of space around us. Many of these are inactive, not excreting material that causes them to light up, making them easier to detect. Others are rogue black holes, roaming through space however they please. Others still are ultramassive black holes.

These black holes are much bigger than supermassive black holes like those found at the center of galaxies. And, because they’re so massive – and contain so much mass – they should theoretically be easier to find. However, as I noted above, it all depends on how active the black hole is and how much heat it emits. That’s because, by default, ultramassive black holes (and black holes overall) don’t emit light.

Aliens could come to Earth — and they might arrive sooner than you might think.

Writing in the Spectator, Professor Sasha Hinkley, associate professor of astrophysics at the University of Exeter, said it is becoming “increasingly likely” signs of extraterrestrial life will be uncovered “within his lifetime”, though that doesn’t mean we will get to meet them.

As more private data is stored and shared digitally, researchers are exploring new ways to protect data against attacks from bad actors. Current silicon technology exploits microscopic differences between computing components to create secure keys, but artificial intelligence (AI) techniques can be used to predict these keys and gain access to data. Now, Penn State researchers have designed a way to make the encrypted keys harder to crack.

Led by Saptarshi Das, assistant professor of engineering science and mechanics, the researchers used graphene — a layer of carbon one atom thick — to develop a novel low-power, scalable, reconfigurable hardware security device with significant resilience to AI attacks. They published their findings in Nature Electronics today (May 10).

“There has been more and more breaching of private data recently,” Das said. “We developed a new hardware security device that could eventually be implemented to protect these data across industries and sectors.”

In the pearly light of the pocket nucleo-bulb…’ — Isaac Asimov, 1951.

Cheap Paper-Based Sensors Let You Snoop For Pesticides ‘…the unobtrusive inspections with tiny remote-cast snoopers.’ — Frank Herbert, 1965.

Modern App Provides Video Technology From Bradbury’s ‘Fahrenheit 451’ ‘A special spot-wavex scrambler also caused his televised image, in the area immediately about his lips, to mouth the vowels and consonants beautifully.’ — Ray Bradbury, 1953.

This special edition show is sponsored by Numerai, please visit them here with our sponsor link (we would really appreciate it) http://numer.ai/mlst.

Prof. Karl Friston recently proposed a vision of artificial intelligence that goes beyond machines and algorithms, and embraces humans and nature as part of a cyber-physical ecosystem of intelligence. This vision is based on the principle of active inference, which states that intelligent systems can learn from their observations and act on their environment to reduce uncertainty and achieve their goals. This leads to a formal account of collective intelligence that rests on shared narratives and goals.

Continue reading “KARL FRISTON — INTELLIGENCE 3.0” »

There’s a huge difference between sending humans to Mars and colonizing worlds outside our solar system.

In the adult brain, synapses are tightly enwrapped by lattices of the extracellular matrix that consist of extremely long-lived molecules. These lattices are deemed to stabilize synapses, restrict the reorganization of their transmission machinery, and prevent them from undergoing structural or morphological changes. At the same time, they are expected to retain some degree of flexibility to permit occasional events of synaptic plasticity. The recent understanding that structural changes to synapses are significantly more frequent than previously assumed (occurring even on a timescale of minutes) has called for a mechanism that allows continual and energy-efficient remodeling of the extracellular matrix (ECM) at synapses. Here, we review recent evidence for such a process based on the constitutive recycling of synaptic ECM molecules. We discuss the key characteristics of this mechanism, focusing on its roles in mediating synaptic transmission and plasticity, and speculate on additional potential functions in neuronal signaling.

An increasing number of studies are showing that synaptic function is strongly influenced by their local environment, including the molecules or cellular components in their vicinity. As a result, the classical synaptic framework (consisting of the pre-and postsynaptic compartments only) has gradually been extended to include the neighboring astrocytic processes (the “tripartite synapse”; Araque et al., 1999) and, ultimately, also the surrounding extracellular matrix (ECM; the “tetrapartite synapse”; Dityatev et al., 2006). Nowadays, the synaptic ECM is recognized to play an essential role in physiological synaptic transmission as well as in plasticity, and its dysregulation has been linked to synaptopathies in a wide variety of brain disorders (Bonneh-Barkay and Wiley, 2009; Pantazopoulos and Berretta, 2016; Ferrer-Ferrer and Dityatev, 2018).

Physicists at West Virginia University have overcome a long-standing limitation of the first law of thermodynamics.

Paul Cassak, a professor and associate director of the Center for KINETIC Plasma Physics at West Virginia University, and Hasan Barbhuiya, a graduate research assistant in the Department of Physics and Astronomy, are investigating the conversion of energy in superheated plasmas in space. Funded by the National Science Foundation, their findings, published in the Physical Review Letters journal, are set to revolutionize the understanding of how plasmas in space and labs are heated and could have far-reaching implications in physics and other sciences.