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This new innovative can lead to near infinite computation speeds without the need for complex components and it can put on a smartphone. Also it requires less hardware and weight.


Light is the most energy-efficient way of moving information. Yet, light shows one big limitation: it is difficult to store. As a matter of fact, data centers rely primarily on magnetic hard drives. However, in these hard drives, information is transferred at an energy cost that is nowadays exploding. Researchers of the Institute of Photonic Integration of the Eindhoven University of Technology (TU/e) have developed a ‘hybrid technology’ which shows the advantages of both light and magnetic hard drives.

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Film director — Nicolas Gazeau.
Music — Jérôme Fagnet.
Production — Content Factory by Prodigious.

April 26 (Reuters) — Computers using light rather than electric currents for processing, only years ago seen as research projects, are gaining traction and startups that have solved the engineering challenge of using photons in chips are getting big funding.

In the latest example, Ayar Labs, a startup developing this technology called silicon photonics, said on Tuesday it had raised $130 million from investors including chip giant Nvidia Corp (NVDA.O).

While the transistor-based silicon chip has increased computing power exponentially over past decades as transistors have reached the width of several atoms, shrinking them further is challenging. Not only is it hard to make something so miniscule, but as they get smaller, signals can bleed between them.

BLACKSBURG, Va. (WFXR) – As housing prices across the country continue to skyrocket, an Iowa-based company, Alquist 3D, is looking to combat the crisis by 3D-printing homes.

Alquist, one of a few U.S. companies that 3D-prints houses, is looking to build 200 of these homes in Virginia starting this summer.

The process is somewhat simple. First, a person designs what they want the frame of the house to look like by using a computer program. Then, a file is transmitted to a machine, which tells it what to do and how to move.

PsiQuantum, founded in 2016 by four researchers with roots at Bristol University, Stanford University, and York University, is one of a few quantum computing startups that’s kept a moderately low PR profile. (That’s if you disregard the roughly $700 million in funding it has attracted.) The main reason is PsiQuantum has eschewed the clamorous public chase for NISQ (near-term intermediate scale quantum) computers and set out to develop a million-qubit system the company says will deliver big gains on big problems as soon as it arrives.

When will that be?

PsiQuantum says it will have all the manufacturing processes in place “by the middle of the decade” and it’s working closely with GlobalFoundries (GF) to turn its vision into reality. The generous size of its funding suggests many think it will succeed. PsiQuantum is betting on a photonics-based approach called fusion-based quantum computing (paper) that relies mostly on well-understood optical technology but requires extremely precise manufacturing tolerances to scale up. It also relies on managing individual photons, something that has proven difficult for others.

Existing memristive devices cannot be reconfigured to meet the diverse volatile and non-volatile switching requirements, and hence rely on tailored material designs specific to the targeted application, limiting their universality. “Reconfigurable memristors” that combine both ionic diffusive and drift mechanisms could address these limitations, but they remain elusive. Here we present a reconfigurable halide perovskite nanocrystal memristor that achieves on-demand switching between diffusive/volatile and drift/non-volatile modes by controllable electrochemical reactions. Judicious selection of the perovskite nanocrystals and organic capping ligands enable state-of-the-art endurance performances in both modes – volatile (2 × 106 cycles) and non-volatile (5.6 × 103 cycles). We demonstrate the relevance of such proof-of-concept perovskite devices on a benchmark reservoir network with volatile recurrent and non-volatile readout layers based on 19,900 measurements across 25 dynamically-configured devices.

Crucially, the Nissan-NASA partnership is also focusing on batteries that don’t rely on rare metals, like cobalt (of which more than half the global supply is in the Democratic Republic of the Congo, as highlighted in an episode of the New York Times Daily podcast last month), nickel, or manganese.

But getting rid of those metals means finding materials with comparable properties to replace them, which will be no simple task. Here’s where NASA’s computing chops will lend the partnership a much-needed hand. They plan to create an original material informatics platform—that is, a massive database that runs simulations of how various materials interact with one another. When the platform narrows countless options and combinations down to a few prime candidates, researchers can then start testing them.

Nissan has targeted 2028 as the year to roll out its proprietary solid-state batteries. How realistic that timing turns out to be remains to be seen (Toyota is even more ambitious, aiming to have its own vehicles with solid-state batteries on the market by 2025), b ut Nissan is putting its money where its mouth is with plans to open a pilot plant in Japan in 2024. How this plays out will be revelatory, as scaling up manufacturing of solid-state batteries has produced unexpected complications in the past. Encouragingly, startup Solid Power ha s also targeted 2028 for comm ercializing its solid-state batteries.