Lifeboat Foundation

Microsoft today announced that it acquired Lumenisity, a U.K.-based startup developing “hollow core fiber (HCF)” technologies primarily for data centers and ISPs. Microsoft says that the purchase, the terms of which weren’t disclosed, will “expand [its] ability to further optimize its global cloud infrastructure” and “serve Microsoft’s cloud platform and services customers with strict latency and security requirements.”

HCF cables fundamentally combine optical fiber and coaxial cable. They’ve been around since the ’90s, but what Lumenisity brings to the table is a proprietary design with an air-filled center channel surrounded by a ring of glass tubes. The idea is that light can travel faster through air than glass; in a trial with Comcast in April, a single strand of Lumenisity HCF was reportedly able to deliver traffic rates ranging from 10 Gbps to 400 Gbps.

“HCF can provide benefits across a broad range of industries including healthcare, financial services, manufacturing, retail and government,” Girish Bablani, CVP of Microsoft’s Azure Core business, wrote in a blog post. “For the public sector, HCF could provide enhanced security and intrusion detection for federal and local governments across the globe. In healthcare, because HCF can accommodate the size and volume of large data sets, it could help accelerate medical image retrieval, facilitating providers’ ability to ingest, persist and share medical imaging data in the cloud. And with the rise of the digital economy, HCF could help international financial institutions seeking fast, secure transactions across a broad geographic region.”

Brodmann17, an Israeli computer vision technology startup that developed a novel approach to take on a marketplace dominated by Mobileye, shut down this week. Brodmann17’s co-founder and CEO Adi Pinhas posted a message on LinkedIn announcing the move, stating that while the company would not be able to bring its products to the mass market as hoped, “we do get comfort that our innovation will hopefully influence the market thinking and others will proceed in the mission of creating safer mobility to everyone.”

In a subsequent interview, Pinhas told TechCrunch that “there is a strong feeling of sorrow as we proved the technology, there is outstanding demand and we have customers in production.

Tournament selection, roulette selection, mutation, crossover — all processes used in genetic algorithms. Dr Alex Turner explains using the Knapsack Problem.

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A team of researchers in China have developed a high-conductivity material that could greatly reduce contact resistance and Schottky barrier height within critical parts of electronic and optoelectronic microchips, paving the way for computer and digital imaging components that consume less power relative to their performance than existing chipsets.

The material, molybdenum disulfide (MoS₂) is so thin that it falls into a classification of two-dimensional. That is, it is grown in sheets extending in two directions, X and Y, but virtually immeasurable on a Z axis because the material is often only a single molecule or atom in height.

The team, led by Professor Dong Li and Professor Anlian Pan, College of Materials Science and Engineering at Hunan University, published their findings in Nano Research.

Logic gates are the fundamental components of computer processors. Conventional logic gates are electronic—they work by shuffling around electrons—but scientists have been developing light-based optical logic gates to meet the data processing and transfer demands of next-generation computing.

New optical chirality logic gates developed by researchers at Aalto University operate about a million times faster than existing technologies, offering ultrafast processing speeds.

The new approach uses circularly polarized light as the input signal. The logic gates are made from crystalline materials that are sensitive to the handedness of a circularly polarized light beam—that is, the light emitted by the crystal depends on the handedness of the input beams. This serves as the basic building block for one type of logic gate (XNOR), and the remaining types of logic gates are built by adding filters or other optical components.

A large universal quantum computer is still an engineering dream, but machines designed to leverage quantum effects to solve specific classes of problems—such as D-wave’s computers—are alive and well. But an unlikely rival could challenge these specialized machines: computers built from purposely noisy parts.

This week at the IEEE International Electron Device Meeting (IEDM 2022), engineers unveiled several advances that bring a large-scale probabilistic computer closer to reality than ever before.

Quantum computers are unrivaled for any algorithm that relies on quantum’s complex amplitudes. “But for problems where the numbers are positive, sometimes called stochastic problems, probabilistic computing could be quite competitive,” says Supriyo Datta, professor of electrical and computer engineering at Purdue University and one of the pioneers of probabilistic computing.

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Next generation computing needs.

Novel materials could revolutionize computer technology. Research conducted by scientists at the Paul Scherrer Institute PSI using the Swiss Light Source SLS has reached an important milestone along this path.

Microchips are made from silicon and work on the physical principle of a semiconductor. Nothing has changed here since the first transistor was invented in 1947 in the Bell Labs in America. Ever since, researchers have repeatedly foretold the end of the silicon era—but have always been wrong.

Silicon technology is very much alive, and continues to develop at a rapid pace. The IT giant IBM has just announced the first microprocessor whose transistor structures only measure two nanometers, equivalent to 20 adjacent atoms. So what’s next? Even tinier structures? Presumably so—for this decade, at least.

With the reveal of its 433 qubit quantum computer, IBM takes a large step forward in the race towards next-generation processing.