With the swift progress in artificial intelligence (AI) and machine learning (ML), the hardware enabling these technologies must evolve to accommodate increasing workloads and energy requirements. A recent study introduced AI accelerators—customized hardware optimized for AI tasks—built on silicon photonic integrated circuits. Powered by III-V compound semiconductors, these silicon PICs consume less energy, presenting a promising direction for creating a more efficient and sustainable AI infrastructure to support future computing advancements.

When materials are created on a nanometer scale — just a handful of atoms thick — even the thermal energy present at room temperature can cause structural ripples. How these ripples affect the mechanical properties of these thin materials can limit their use in electronics and other key systems. New research from Binghamton University, State University of New York validates theoretical models about how elasticity is scale-dependent — in other words, the elastic properties of a material are not constant, but vary with the size of the piece of material. 

Quantum Base has become the first ever Lancaster University spin out to float on the London Stock Exchange following its successful fundraising and admission to trading.

Quantum Base’s ordinary shares are now trading on the LSE AIM market under the ticker “QUBE”. https://www.lse.co.uk/SharePrice.html?shareprice=QUBE&share=Quantum-Base

The successful listing on AIM follows £4.8 million fundraising.

Counterfeiting is estimated to cost businesses and tax authorities $2.8 trillion in lost revenue annually. Quantum Base’s atomic-level anti-counterfeit Q-ID solution can be utilised in a vast number of end markets without requiring a change of existing consumer behaviour, or any further hardware or infrastructure.

According to the latest report from the IUNE Observatory of the A4U Alliance, 92% of scientific publications within the Spanish University System (SUE) originate from public universities, while only 8% are produced by private institutions. The report, developed by the INAECU Institute (a collaboration between the Universidad Autónoma de Madrid, UAM,  and the Universidad Carlos III de Madrid, UC3M), provides a comprehensive analysis of the performance of Spanish universities using nearly fifty indicators related to teaching, research, and knowledge transfer.

Medical digital twins are virtual models of the human body that can help predict diseases with high accuracy. However, they are vulnerable to cyberattacks that can manipulate data and lead to incorrect diagnoses. To address this, researchers from Dongguk University developed the Wavelet-Based Adversarial Training (WBAD) defense system. Tested on a breast cancer diagnostic model, WBAD restored accuracy to 98% against attacks, ensuring safer and more reliable medical digital twins for healthcare applications.

A paper published in Science Bulletin provides a detailed investigation of a series of six 2D D-A COFs to optimize the compatibility of D and A units for photocatalytic H2O2 synthesis.

A study conducted at the Food Sciences unit of the University of Turku in Finland showed that different processing methods significantly affect the biochemical composition of plant-based foods. Current food classification systems do not sufficiently acknowledge the biochemical composition of the product.