Electronic waste (e-waste) is a pressing issue. Consumer electronics’ growth is great news for businesses, but as new hardware renders the old obsolete, it’s led to a rapidly expanding disposal problem.
Is AI the killer application that will enable widespread adoption of silicon photonics? One would think so, given the explosive growth in AI over the last couple of years driving the need for high-speed interconnections and higher bandwidths, and subsequently Ethernet optical transceivers.
Sustainable materials minimize non-renewable resources and decrease related emissions, resulting in a reduced carbon footprint.
LEO/MEO satellites have simplified worldwide internet access and enabled real-time Earth observation, but power management is a huge obstacle.
Today, silicon carbide is used in demanding semiconductor applications like trains, turbines, electric vehicles and smart grids. Due to its physical and electrical properties, SiC-based devices are suitable for applications in which high temperature, high power density and high operating frequency are common requirements.
As the edge becomes smarter, the challenge becomes to increase machine learning (ML) and reasoning without increasing power consumption - microcontrollers (MCUS) optimized for edge AI applications are an important part of this puzzle.
The production, distribution and use of electricity is undergoing changes not seen in decades. As the world ADAPTS to climate change and geopolitical uncertainty, innovative technologies are driving dramatic changes across the energy ecosystem.
Evidence suggests that GaN transistors can meet the needs of modern and future data centers while making energy usage progress.
The goal of achieving net zero requires decarbonization and electrification in almost every type of electricity consumption application.
Manufacturing stands at a crossroads. On one path lies a widening skills crisis fueled by an aging workforce, lack of vocational programs, false job perceptions and changing skillsets. This road ends in constrained output, delayed digitization and loss of competitive edge. The other path embraces new paradigms for training powered by artificial intelligence.
Along with generation and transmission, the storage of captured energy from intermittent sources such as solar and wind, is one of the three pieces of the renewable-energy puzzle. Among the approaches used for storage are the use of potential energy based on gravity (lakes and dams, lifted weights); kinetic energy using flywheels; thermal-chemical systems with phase-change materials including molten salts; electrolysis to provide hydrogen; pressure via compressed air; and, of course, electrochemical storage via batteries.
As governments around the world push to reduce greenhouse gas emissions from internal combustion engine (ICE) vehicles, original equipment manufacturers (Oems) are redesigning mechanical systems to be electronically controlled.
BMS improvements and parallel developments in the power conversion and battery modules will enable EVs to drive further on a single charge.
Innovative materials can enhance the performance, durability and cost-effectiveness of high-power–density alternative energy solutions.
The data center industry faces a significant challenge: meeting the growing energy demands of artificial intelligence (AI) workloads. As AI technology advances, the need for computational power also increases, resulting in a significant surge in energy consumption. Research by Schneider Electric highlights that data centers need to consider power requirements and cooling solutions to achieve peak performance. In search of answers, the data center sector examines different energy sources, and nuclear power is emerging as a possible solution.
Over the last 18 months, since the launch of ChatGPT in late 2022, AI has become a topic of conversation not only from Main Street to Wall Street, but from Capitol Hill to the ski slopes of Davos at the World Economic Forum’s annual meeting. Even with the disparate natures of these conversations and the different levels of expertise of those discussing AI, they all have one thing in common—they are all trying to understand AI, its impact and its implications.
As companies move towards a low-carbon future, the market is increasingly demanding more efficient power semiconductors. The key goal of developing power semiconductor solutions is to minimize the total cost and size of the system while increasing efficiency.
NXP Semiconductors has launched a new platform and first processor, the S32 CoreRide, to address the challenge of integration and scalability of complex automotive systems and software-defined vehicles (SDVs).
