Lifeboat Foundation

Google Deepmind says that a new artificial intelligence system has made a major breakthrough in one of the most difficult tests for AI.

The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students.

Geometry is one of the oldest branches of mathematics, but has proven particularly difficult for AI systems to work with. It has been difficult to train them because of a lack of data, and succeeding requires building a system that can take on difficult logical challenges.

Should we colloquially call this ‘MS-DOS 11.0’?

This includes familiar tasks such as rotating the tires, replacing various fluids, and changing out cabin air filters. There are also a number of EV-specific services that drivers of these battery-electric vehicles need to keep on top of.

The National Renewable Energy Laboratory of the United States predicts today’s EV batteries will have service lives between 12 and 15 years if used in moderate climates. This falls to between 8 and 12 years if regular use occurs in extreme environments.

A trio of chemists at the Chinese Academy of Sciences’ Dalian Institute of Chemical Physics, working with a colleague from the University of Western Ontario, has tied the smallest knot ever, using just 54 atoms. In their study, published in the journal Nature Communications, Zhiwen Li, Jingjing Zhang, Gao Li and Richard Puddephatt accidentally tied the knot while trying to create metal acetylides in their lab.

The researchers were attempting to create types of alkynes called metal acetylides as a means to conduct other types of organic reactions. More specifically, they were attempting to connect carbon structures to gold acetylides—typically, such work results in the creation of simple chains of gold known as caternames.

But, unexpectedly, the result of one reaction created a chain that knotted itself into a trefoil knot with no loose ends. Trefoil knots are used in making pretzels and play a major role in knot theory. The researchers noted that the knot had a backbone crossing ratio (BCR) of 23. Knot BCRs are a measure of the strength of the knot. Most organic knots, the team notes, have a BCR somewhere between 27 and 33.

Led by researchers from Université de Montréal’s Trottier Institute for Research on Exoplanets (iREx), a team of astronomers has harnessed the power of the revolutionary James Webb Space Webb Telescope (JWST) to study the “hot Saturn” exoplanet HAT-P-18 b.

Their findings, published last month in the journal Monthly Notices of the Royal Astronomical Society, paint a complete picture of the HAT-P-18 b’s atmosphere while exploring the great challenge of distinguishing its atmospheric signals from the activity of its star.

HAT-P-18 b is located over 500 light-years away with a mass similar to Saturn’s but a size closer to that the larger planet Jupiter. As a result, the exoplanet has a “puffed-up” atmosphere that is especially ideal for analysis.

The article repeats itself a bit but there’s some good parts about an exoskeleton, advanced algorithm and bipedal robots and prosthetics. It’ll basically apply to those future industries.

We typically don’t think about it whilst doing it, but walking is a complicated task. Controlled by our nervous system, our bones, joints, muscles, tendons, ligaments and other connective tissues (i.e., the musculoskeletal system) must move in coordination and respond to unexpected changes or disturbances at varying speeds in a highly efficient manner. Replicating this in robotic technologies is no small feat.

Now, a research group from Tohoku University Graduate School of Engineering has replicated human-like variable speed walking using a musculoskeletal model – one steered by a reflex control method reflective of the human nervous system. This breakthrough in biomechanics and robotics sets a new benchmark in understanding human movement and paves the way for innovative robotic technologies.

A new kind of learning is on the horizon.

Last week, Facebook founder Mark Zuckerberg announced that he’s going to purchase hundreds of thousands of expensive AI processing chips — and experts are mighty worried about what he plans to use them for.

In the same Instagram post announcing his planned purchase of 350,000 Nvidia’s H100 graphics chips, which average about $30,000 apiece and are considered the gold standard for powering AI models, Zuckerberg said that he wants to build an open-source artificial AGI, the industry term for the point at which AI reaches or even surpasses human-level intelligence.

While there’s still an open debate about whether AGI is even possible, the prospect itself is enough to give some researchers pause.

Researchers at HZB have created an innovative technique to precisely measure minuscule temperature variations as small as 100 microkelvin in the thermal Hall effect, overcoming previous limitations caused by thermal noise. By applying this technique to terbium titanate, the team showcased its effectiveness in producing consistent and dependable outcomes. This advancement in measuring the thermal Hall effect sheds light on the behavior of coherent multi-particle states in quantum materials, particularly their interactions with lattice vibrations, known as phonons.

The laws of quantum physics apply to all materials. However, in so-called quantum materials, these laws give rise to particularly unusual properties. For example, magnetic fields or changes in temperature can cause excitations, collective states, or quasiparticles that are accompanied by phase transitions to exotic states. This can be utilised in a variety of ways, provided it can be understood, managed, and controlled: For example, in future information technologies that can store or process data with minimal energy requirements.

The thermal Hall effect (THE) plays a key role in identifying exotic states in condensed matter. The effect is based on tiny transverse temperature differences that occur when a thermal current is passed through a sample and a perpendicular magnetic field is applied (see Figure 2). In particular, the quantitative measurement of the thermal Hall effect allows us to separate the exotic excitations from conventional behavior.