Lifeboat Foundation

Chinese state-owned automaker Dongfeng Motor is partnering with robotics firm UBTech to introduce the latter’s humanoid into its manufacturing process.

The industrial version of the Walker S humanoid robot from Ubtech will be used on the production line of Dongfeng Motor to carry out various manufacturing duties.

Continue reading “China’s humanoid robots to tackle tricky car chores at Dongfeng Motor” »

Advanced Micro Devices (AMD) has introduced its newest artificial intelligence (AI) processor, the MI325X. This advanced version of the MI300 series is expected to be available in the fourth quarter.

At the Computex technology trade show in Taipei, AMD also announced that it will develop AI chips over the next two years to challenge Nvidia’s dominance.

It should be noted that Nvidia has an almost 80% share in the market of AI semiconductors.

Nvidia CEO Jensen Huang has unveiled plans to build a next-generation AI platform called Rubin — named after astronomer Vera Rubin.

Huang made the announcement at an address ahead of the COMPUTEX technology convention in Taipei, which starts on June 4.

Continue reading “NVIDIA honors dark matter discoverer, unveils powerful Rubin AI tech” »

NVIDIA takes to the stage at COMPUTEX, with a slew of AI-powered tools to enable game assistants, digital humans, and improve generative AI.

Scientists are calculating earthquake risk using an ISI-created system that automates and manages data-and compute-intensive research.

Quantum simulators are now addressing complex physics problems, such as the dynamics of 1D quantum magnets and their potential similarities to classical phenomena like snow accumulation. Recent research confirms some aspects of this theory, but also highlights challenges in fully validating the KPZ universality class in quantum systems. Credit: Google LLC

Quantum simulators are advancing quickly and can now tackle issues previously confined to theoretical physics and numerical simulation. Researchers at Google Quantum AI and their collaborators demonstrated this new potential by exploring dynamics in one-dimensional quantum magnets, specifically focusing on chains of spin-1/2 particles.

Continue reading “Google’s Quantum AI Challenges Long-Standing Physics Theories” »

This post is also available in: עברית (Hebrew)

AI technology is spreading quickly throughout many different industries, and its integration depends on users’ trust and safety concerns. This matter becomes complicated when the algorithms powering AI-based tools are vulnerable to cyberattacks that could have detrimental results.

Dr. David P. Woodruff from Carnegie Mellon University and Dr. Samson Zhou from Texas A&M University are working to strengthen the algorithms used by big data AI models against attacks.

Much like the invigorating passage of a strong cold front, major changes are afoot in the weather forecasting community. And the end game is nothing short of revolutionary: an entirely new way to forecast weather based on artificial intelligence that can run on a desktop computer.

Today’s artificial intelligence systems require one resource more than any other to operate—data. For example, large language models such as ChatGPT voraciously consume data to improve answers to queries. The more and higher quality data, the better their training, and the sharper the results.

The Dark Energy Spectroscopic Instrument (DESI) is a robotic instrument and spectrograph mounted on the Mayall Telescope in Kitt Peak, Arizona. The DESI collaboration aims primarily to understand the elusive Dark Energy. This is an energy of unknown source causing the Universe to accelerate in its expansion; this accelerating expansion is not predicted to occur for a universe that is filled with just ordinary matter and radiation (some more detail can be seen in this Astrobite). Since we still know so little about Dark Energy, a large galaxy survey can allow us to explore the history of the expansion of the Universe in more detail. The DESI instrument has 5,000 individual optical fibres controlled by robots that allow it to measure individual spectra of up to 5,000 galaxies in just a mere 20 minutes! Due to this design, and an observing program that optimises targets in the sky based on observing conditions, the survey will measure spectra of up to 35 million galaxies over 5 years. This will allow DESI to perform precise cosmological measurements, as a great volume of space and number of galaxies can be probed, and noise in the data products is reduced. This bite looks at the cosmology results from the collaboration’s analysis of the recently released Year 1 Data (YR1), in particular, via a signal that can be seen in the data known as Baryon Acoustic Oscillations.

DESI tracers

Continue reading “Results from the DESI (Dark Energy Spectroscopic Instrument) YR1 Data Release: a summary” »