Lifeboat Foundation

Computer science expert Kristian Hammond discusses Northwestern’s Center for Advancing Safety of Machine Intelligence and its efforts in making AI more responsible.

Computer scientist Kristian Hammond says the Center for Advancing Safety of Machine Intelligence is working to develop the kinds of guardrails that will help us use AI for a bigger and better impact on the world without compromising our well-being. Photo by Jonah Elkowitz.

Oxford Nanopore Technologies and Wasatch BioLabs have joined forces to develop a groundbreaking direct whole-methylome sequencing (dWMS) product. This collaboration addresses the limitations of traditional methylation sequencing methods, such as bisulfite sequencing and methylation microarrays.

By leveraging Oxford Nanopore’s advanced sequencing technology and Wasatch BioLabs’ proprietary methylation assays, the partners aim to offer a more comprehensive and accurate approach to studying epigenetic modifications. dWMS eliminates the need for harsh chemical treatments and PCR amplification, reducing biases and improving genome-wide coverage.

This innovative technology has the potential to revolutionize epigenetic research, providing valuable insights into the role of methylation in various biological processes and diseases. The collaboration between these two companies is poised to drive significant advancements in genomics and precision medicine.

Researchers at Tokyo University of Science have developed a solar cell-based optoelectronic device that mimics human synapses for efficient edge AI processing.

Artificial intelligence (AI) is becoming increasingly useful for the prediction of emergency events such as heart attacks, natural disasters, and pipeline failures. This requires state-of-the-art technologies that can rapidly process data. In this regard, reservoir computing, specially designed for time-series data processing with low power consumption, is a promising option.

It can be implemented in various frameworks, among which physical reservoir computing (PRC) is the most popular. PRC with optoelectronic artificial synapses (junction structures that permit a nerve cell to transmit an electrical or chemical signal to another cell) that mimic human synaptic elements are expected to have unparalleled recognition and real-time processing capabilities akin to the human visual system.

Continue reading “Novel physical reservoir computing device mimics human synaptic behavior for efficient edge AI processing” »

Proxie by Cobot automates tasks, enabling teams to focus on high-value work. https://link.ie.social/1TJU7S

#Automation #CobotTech

Continue reading “New Proxie robot beats costly humanoids with AI-powered efficiency” »

Understanding these cosmic rays allows us to unveil big particle accelerators in the universe that are often associated with the most violent phenomena.

Elon Musk encourages focusing on how quickly new ideas and improvements are made, not just working fast.

Media: air & space forces association

The LTV program involves companies taking responsibility for delivering lunar rovers to the Moon, with the possibility of commercial use outside of NASA’s requirements.

Lunar Outpost Executive Director Justin Cyrus said that the choice of Starship was due to SpaceX’s high level of technological advancement, the rapid pace of their work, and the quality of the organization. It’s a vehicle that we think will be able to provide reliable landing on the lunar surface, and we know that they can get it done on the timelines we need, Cyrus emphasized.

The Lunar Outpost Eagle rover is designed to be compatible with a variety of landing systems, but Starship is the prioritized choice. The company strives to remain flexible in its choice of technical solutions by evaluating the progress of the industry over time.

The V-score benchmarks classical and quantum algorithms in solving the many-body problem. The study highlights quantum computings potential for tackling complex material systems while providing an open-access framework for future research innovations.

Scientists aspire to use quantum computing to explore complex phenomena that have been difficult for current computers to analyze, such as the characteristics of novel and exotic materials. However, despite the excitement surrounding each announcement of “quantum supremacy,” it remains challenging to pinpoint when quantum computers and algorithms will offer a clear, practical advantage over classical systems.

A large collaboration led by Giuseppe Carleo, a physicist at the Swiss Federal Institute for Technology (EPFL) in Lausane and the member of the National Center for Competence in Research NCCR MARVEL, has now introduced a method to compare the performance of different algorithms, both classical and quantum ones, when simulating complex phenomena in condensed matter physics. The new benchmark, called V-score, is described in an article just published in Science.

Exercise can do more than strengthen your muscles and boost your mental health: It can also support your eyes.