Lifeboat Foundation

Wireless internet supports the daily activities of countless people worldwide, ranging from their professional communications to internet browsing and the streaming of movies or TV series. This spiking demand for wireless internet access goes hand in hand with greater power consumption, which in turn contributes to carbon emissions worldwide.

Future wireless networks should be able to support the high computational demands of many modern applications and internet services, while limiting power consumption. Some researchers have thus been developing energy efficient techniques supporting communication between devices and the sharing of media or other information online.

One of these solutions is known as visible light communication (VLC). This is a method to realize efficient wireless communication using visible light to transmit data, relying on light-emitting diodes (LEDs) or other artificial light sources.

$665 million in cash is nothing to sneeze at, and for AMD, the acquisition is the latest step in the company’s broader pivot that puts its main focus on AI and AI-related technologies. This is nothing new; we’ve seen the same shift happen in other companies like Google, Meta, Apple, and, of course, NVIDIA. However, NVIDIA’s AI focus started many years ago.

“AI is our number one strategic priority,” said Vamsi Boppana, AMD senior vice president, AIG. “We continue to invest in both the talent and software capabilities to support our growing customer deployments and roadmaps.”

“The Silo AI team has developed state-of-the-art language models that have been trained at scale on AMD Instinct accelerators, and they have broad experience developing and integrating AI models to solve critical problems for end customers,” Vamsi Boppana adds. “We expect their expertise and software capabilities will directly improve the experience for customers in delivering the best performing AI solutions on AMD platforms.”

The Geometric Langlands Correspondence. Edward Frenkel is a renowned mathematician and professor at the University of California, Berkeley, known for his work in representation theory, algebraic geometry, and mathematical physics. Edward is also the author of the bestselling book “Love and Math: The Heart of Hidden Reality”, which bridges the gap between mathematics and the broader public.

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Quantum physicists have developed an algorithm that uses a single qubit to solve a problem that had previously needed thousands of them.

A new material can withstand ‘billions’ of electrical cycles without wearing out — and scientists say it could transform electronics within 10 to 20 years.

A silent symphony is playing inside your brain right now as neurological pathways synchronize in an electromagnetic chorus that’s thought to give rise to consciousness.

Yet how various circuits throughout the brain align their firing is an enduring mystery, one some theorists suggest might have a solution that involves quantum entanglement.

The proposal is a bold one, not least because quantum effects tend to blur into irrelevance on scales larger than atoms and molecules. Several recent findings are forcing researchers to put their doubts on hold and reconsider whether quantum chemistry might be at work inside our minds after all.

A new publication has discovered ways to reduce the toxicity of graphene oxide (GO), an ultra-thin sheet of nanomaterial derived from graphite, laying the groundwork to use it as a drug delivery system.

Professor Khuloud Al-Jamal, who led the study, said: “Researchers have been incredibly excited in the potential medical applications of graphene since experiments into the nanomaterial were recognised with the Nobel Prize in Physics in 2010. However, concerns around toxicity have remained a consistent obstacle.”

Graphene oxide (GO) is an ultra-thin sheet derived from graphite. It is similar to pencil lead but includes attached oxygen atoms, making it compatible with water. Its unique physical and chemical properties mean it has a high capacity for carrying antibiotics and anticancer drugs, among others, as well as targeting specific cells, making it a potentially effective drug delivery system.

To understand where artificial intelligence might be heading, we must first understand what consciousness, the self and free will mean in ourselves.

Long before “ex Machina” trotted out the standard “creation kills creator” storyline, real science fiction authors explored the idea of human/machine relatio…