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ELEKTRO 1/2019 was released on January 16th 2019. Its digital version will be available on February 12th 2019.

Topic: Electrotechnology; Materials for electrical engineering; Wiring material

Main Article
Electrically conductive adhesives for electrical engineering
Smart Cities (part 6)

SVĚTLO (Light) 6/2018 was released on December 3rd 2018. Its digital version will be available on January 4th 2019.

Luminaires and light apparatuses
Modular floodlights Siteco
Decorative luminaire PRESBETON H-E-X from the integral series town equipment
LED luminaires ESALITE – revolution in sphere of industrial lighting

Daylight
About median illumination by daylight
Professional colloquium Daylight in practice

Using nanotechnology to create parallel computers

30.03.2016 | Lund University | www.lunduniversity.lu.se

Researchers at Lund University in Sweden have utilised nanotechnology to create a biological computer that can solve certain mathematical problems far faster and more energy-efficiently than conventional electrical computers.

Conventional computers have contributed to major advances for society over the past few decades, but have a weakness: they can only do one thing at a time. The more arithmetic operations a problem requires, the longer it takes to perform the calculations. This means that electronic computers are not efficient in dealing with combinatorial problems, for example in cryptography and mathematical optimisation, which require the computer to test a large number of different solutions.

Nanotechnology helps computers

However, nanotechnology researchers at Lund are on the track of a solution. They have shown that a parallel computer utilising molecular motors can find all the correct solutions to a combinatorial problem, rapidly and energy-efficiently. Parallel computers perform several calculations simultaneously, instead of sequentially, which in theory makes them extremely fast at solving combinatorial problems. Up to now the limiting factors for parallel computers have been scalability and practical implementation.

Biological computers use a strategy similar to that of so-called quantum computers. Quantum mechanics uses qubits – ones and zeroes – whereas biocomputers use molecules that work in parallel.

Read more at Lund University

Image Credit: Lund University

-jk-