Lifeboat Foundation

Engineers have tried for decades to develop bionic eyes to reverse blindness. But the brain is far more complex than a computer.

Researchers uncover GhostWrite vulnerability in T-Head RISC-V CPUs, allowing unrestricted access to memory and devices. Mitigation impacts performance.

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.

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

Theories of computation and theories of the brain have close historical interrelations, the best-known examples being Turing’s introspective use of the brain’s operation as a model for his idealized computing machine (Turing 1936), McCulloch’s and Pitts’ use of ideal switching elements to model the brain (McCulloch and Pitts 1943), and von Neumann’s comparison of the logic and physics of both brains and computers (von Neumann 1958).

Jim Clarke, Director of Quantum Hardware at Intel Labs, discusses how chemistry and physics drive the development of qubits in these unique systems. These systems will bring mind-blowing computing power to the world in the next decade and beyond.

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With inventions like a nanomaterial-based battery for IoT and nanoscale transistors, the future of nanotechnology in this field seems to have potential. For now, any large-scale applications are likely years away. Companies must overcome technical, cost, and implementation hurdles before progressing to mass-market applications.

However, numerous nanoscale-sized discoveries and inventions will likely emerge in the coming years. As the value of nanotechnologies and IoT continue increasing, more investors, business owners, and researchers will explore possible use cases. While their inventions may not hit shelves for years, their development speed will surely accelerate.

An automated computational approach to the optical lens design of imaging systems promises to provide optimal solutions without human intervention, slashing the time and cost usually required. The result could be improved cameras for mobile phones with superior quality or new functionality.

Atomic-scale 2D magnets can be polarized to represent binary states — the 1s and 0s of computing data. These can lead to far more dense and energy-efficient components.