In a surprising turn of events, the semiconductor industry, which had finally overcome the hurdles of the COVID-19-induced semiconductor shortage, now faces an unexpected problem — an oversupply of ...

The semiconductor chip shortage has caused a lot of problems for businesses worldwide. The ongoing crisis began in early 2020, with the demand for integrated circuits exceeding the supply of chips, ...

Semiconductors’ extremely energy- and resource-intensive manufacturing process makes them a prime target for climate-conscious finger wagging. Carbon emissions from electronic waste are massive and ...

Semiconductors are not just commercial commodities; they are foundational to US critical infrastructure. The US Department of Homeland Security officially categorizes the semiconductor industry under ...

For semiconductor stocks, 2022 has gone from bad to worse, and it’s been a real problem for the broader market. Heading into October the stocks of semiconductor companies, whose chips go into ...

Collaboration between industry and government which proved successful in semiconductors, will be the key to addressing rare minerals dependencies, according to the president of the Confederation of ...

Renault and other carmakers are still facing problems regarding the global shortage of semiconductor chips needed in the car industry, Renault Chief Executive Luca de Meo told the Paris Automotive ...

The aftermath of Hurricane Helene has struck a blow to the semiconductor industry. The massive flooding that devastated Asheville, N.C., also hit the small town of Spruce Pine, about an hour away.

(Nanowerk News) Cavendish physicists have discovered two new ways to improve organic semiconductors. They found a way to remove more electrons from the material than previously possible and used ...

Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now ...

Annealing processors are designed specifically for addressing combinatorial optimization problems, where the task is to find the best solution from a finite set of possibilities. This holds ...