Toggle light / dark theme

Professor Dario Floreano is a Swiss-Italian roboticist and engineer engaged in a bold research venture: the creation of edible robots and digestible electronics.

However counterintuitive it may seem, combining and robotic science could yield enormous benefits. These range from airlifts of food to advanced health monitoring.

The downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists from City University of Hong Kong (CityU) recently discovered a new strategy for developing highly versatile electronics with outstanding performance using transistors made of mixed-dimensional nanowires and nanoflakes.

This innovation paves the way for simplified chip circuit design, offering versatility and low power dissipation in future electronics. The findings, titled “Multifunctional anti-ambipolar electronics enabled by mixed-dimensional 1D GaAsSb/2D MoS2 heterotransistors,” were published in the journal Device.

In recent decades, as the continuous scaling of transistors and integrated circuits has started to reach physical and economic limits, fabricating in a controllable and cost-effective manner has become challenging. Further scaling of transistor size increases current leakage and thus power dissipation. Complex wiring networks also have an adverse impact on power consumption.

For one, it reached over a million users in five days of its release, a mark unmatched by even the most historically popular apps like Facebook and Spotify. Additionally, ChatGPT has seen near-immediate adoption in business contexts, as organizations seek to gain efficiencies in content creation, code generation, and other functional tasks.

But as businesses rush to take advantage of AI, so too do attackers. One notable way in which they do so is through unethical or malicious LLM apps.

Unfortunately, a recent spate of these malicious apps has introduced risk into an organization’s AI journey. And, the associated risk is not easily addressed with a single policy or solution. To unlock the value of AI without opening doors to data loss, security leaders need to rethink how they approach broader visibility and control of corporate applications.