Lifeboat Foundation

Nvidia’s (NASDAQ: NVDA) stock has rallied about 1,110% over the past five years, turning it into the world’s first trillion-dollar chipmaker. A large portion of that rally was fueled by the explosive growth of the artificial intelligence (AI) market, which drove more companies to buy Nvidia’s high-end data center chips for processing AI tasks.

Nvidia might still have room to run, but it’s asking a lot for a $1.2 trillion company to generate even bigger multibagger gains. Therefore, many investors are already likely seeking out the “next Nvidia” — a company that is exposed to the same secular AI tailwinds but has more upside potential. Could the quantum computing company IonQ (NYSE: IONQ) check all the right boxes?

Unlike traditional computers, which process data with binary “bits” of zeros and ones, quantum computers can store zeros and ones simultaneously in “qubits” to process data at much faster rates. However, quantum computing systems are also much larger, more expensive, and more prone to making mistakes than traditional computers.

Europe has become known as a second-place destination for business, and more recently, innovation.

Disruptive technologies like AI have hailed from the United States for decades with no European challenger in sight.

However, when a four-week-old French AI startup secured €105 million for its seed round, it demonstrated that Europe isn’t as disadvantaged as people think. While AI is a saturated market, quantum computing can allow Europe to survive in a century ruled by China and the US.

NATIONAL HARBOR, Md. (AP) — Artificial intelligence employed by the U.S. military has piloted pint-sized surveillance drones in special operations forces’ missions and helped Ukraine in its war against Russia. It tracks soldiers’ fitness, predicts when Air Force planes need maintenance and helps keep tabs on rivals in space.

Now, the Pentagon is intent on fielding multiple thousands of relatively inexpensive, expendable AI-enabled autonomous vehicles by 2026 to keep pace with China. The ambitious initiative — dubbed Replicator — seeks to “galvanize progress in the too-slow shift of U.S. military innovation to leverage platforms that are small, smart, cheap, and many,” Deputy Secretary of Defense Kathleen Hicks said in August.

While its funding is uncertain and details vague, Replicator is expected to accelerate hard decisions on what AI tech is mature and trustworthy enough to deploy — including on weaponized systems.

Telecommunication goes back a lot further than you might expect. While the word has become synonymous with television broadcasting and phone communication, it really describes any communication system over a distance, and could include smoke signals. These simple signals were used to convey messages from “the enemy is approaching” to the fact that a whale has beached itself and can be butchered for meat.

While some ancient cultures varied smoke colors to convey further information, there’s only so much you can get across with a big fire. One particularly cool ancient version of telecommunication, which aimed to convey more precise meanings, was the hydraulic telegraph, used in Ancient Greece in around 350 BCE.

Continue reading “The Hydraulic Telegraph Of Aeneas: A Telecommunication Used In Ancient Greece” »

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My name is Artem, I’m a computational neuroscience student and researcher. In this video we discuss engrams – fundamental units of memory in the brain. We explore what engrams are, how memory is allocated, where it is stored, and how different memories become linked with each other.

Continue reading “Building Blocks of Memory in the Brain” »

I’ve posted a number of times about artificial intelligence, mind uploading, and various related topics. There are a number of things that can come up in the resulting discussions, one of them being Kurt Gödel’s incompleteness theorems.

The typical line of arguments goes something like this: Gödel implies that there are solutions that no algorithmic system can accomplish but that humans can accomplish, therefore the computational theory of mind is wrong, artificial general intelligence is impossible, and animal, or at least human minds require some as of yet unknown physics, most likely having something to do with the quantum wave function collapse (since that remains an intractable mystery in physics).

Continue reading “Gödel’s incompleteness theorems don’t rule out artificial intelligence” »

Richard Cytowic, a pioneering researcher who returned synesthesia to mainstream science, traces the historical evolution of our understanding of the phenomenon.

In recent years, engineers and material scientists have been trying to create increasingly advanced battery technologies that are charged faster, last longer, and can store more energy. These batteries will ultimately play a crucial role in the advancement of the electronics and energy sector, powering the wide range of portable devices on the market, as well as electric vehicles.

Lithium-ion batteries (LiBs) are currently the most widespread batteries worldwide, powering most electronics we use every day. Identifying scalable methods to increase the speed at which these batteries charge is thus one of the primary goals in the energy field, as it would not require switching to entirely new battery compositions.

Researchers at Huazhong University of Technology in China recently introduced a new strategy to develop fast-charging LiBs containing a graphite-based material. Their proposed battery design, outlined in a paper published in Nature Energy, was found to successfully speed up the charging time of LiBs, while also allowing them to retain much of their capacity even after they are charged thousands of times.

The Sirius 16 is perhaps the first gaming laptop to ship with Linux, equipped with impressive hardware from AMD’s latest mobile Ryzen CPU and Radeon GPU.