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Brain-Computer Interface (BCI) is currently one of the most investigated areas in healthcare and consumer electronics. Non-invasive BCI has found multiple uses in the areas of medicine such as motor restoration, wheelchair assistance, and treatment of neurological disorders. The BCI market has witnessed an upward trend in the last decade owing to ...

Data storage technologies (DSTs) are evolving with the exponential rise in the demand for high capacity and secured storage systems in the recent years. This is mainly due to the change in technological perception in the global community, which focuses on facilitating simplified interaction with the latest innovations happening around as data forms...

Traditional cloud computing models sends data from the device to the cloud for data analysis and the decision is sent back to the device for implementation. The agility of cloud computing is great but not enough to overcome certain challenges such as latency, bandwidth, processing the data for real-time decision making, costs associated with data t...

Computed tomography (CT) is a sophisticated imaging technology that combines X-ray measurements obtained from multiple angles and processes them using computer algorithms to generate cross-sectional images or tomograms. The tomograms are further reconstructed into a 3D representation of organs or tissues, allowing precise visualization of the inter...

This edition of the Energy & Power Systems (EPS) TOE features information about the innovations in ultracapacitors, supercapacitors, immersion cooling technology for batteries, aem electrolysis, flywheels, small modular reactors, and quantum batteries, among others.The Energy and Power Systems TOE provide insights on the latest advances in the broa...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

As we enter the next era of digitization, we are amidst a silent revolution that will change the location from where we process data as well as the speed in which we do that—the reasons being Edge Computing and 5G. The term edge refers to the edge of a network, i.e., close to the data/information source and edge computing means processing data clos...

Energy security and the energy transition are the key drivers of investments in the hydrogen industry. Hydrogen is considered a key pillar of decarbonization because it is one of the few routes available for decarbonization of some sectors like oil and gas, mining, iron and steel, and heavy transport. Its energy density and phase changeability faci...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...