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.
Terahertz waves can penetrate opaque materials and provide unique spectral signatures of various chemicals, but their adoption for real-world applications has been limited by the slow speed, large size, high cost and complexity of terahertz imaging systems. The problem arises from the lack of suitable focal-plane array detectors, components that contain radiation detectors used by the imaging system.
A research team led by Mona Jarrahi, and Aydogan Ozcan, both electrical and computer engineering professors at the UCLA Samueli School of Engineering, has invented a new terahertz focal-plane array to solve this problem.
By eliminating the need for raster scanning, which captures and displays an image point by point, the research team is able to expedite imaging more than 1,000 times faster than current systems. The new array constitutes the first known terahertz imaging system that is fast enough to capture videos and provide real-time, 3D multi-spectral images while maintaining a high signal-to-noise ratio.
Why I’m Not Afraid of Death
Posted in life extension
Here we have a deathist vid. This fellow does run a good channel, cool bloke. But he seems to think longer life means you’ll just never be motivated and only the knowledge of death with get you moving in life. I did leave a comment.
With anaesthetics and brain organoids, we are finally testing whether quantum effects can explain consciousness. We may have misunderstood this long-derided idea, says George Musser.
With AI impact being much discussed at davos, the oliver wyman forum has suggested that workforces must be more aligned in digital strategies to succeed.
How human-robot collaboration will affect the manufacturing industry — https://bit.ly/3S7Skfa
By Nitin Rawat, Manufacturing Head, Addverb
Robotics are employed to boost production and efficiency in the manufacturing sector, and they are capable of working in any hazardous setting. Robotic arms are also employed to perform effective work in the industries. It has been years since the introduction of collaborative robots in the manufacturing industry, and they have now been applied in several applications at manufacturing facilities. Robots these days are exceptionally programmable and controllable, allowing them to perform complex tasks using AI and automation.
Robot applications in manufacturing include assembly, welding, shipping, handling raw materials, and product packing. Robots nowadays collaborate with human workers (co-bots) on practically every task. In manufacturing, robotics is used to automate repetitive activities and streamline assembly workflows. Many industries are now using robots for hazardous and time-consuming tasks that can endanger workers.