As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.
AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.
Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.
QCi’s photonic chips could reduce the cost of quantum computers. IonQ’s trapped ion technology could shrink quantum processing units. Both of these companies are growing, but one is grossly overvalued ...
On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...
Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...
HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...
While there are reasons to be concerned about AI’s climate impact, all hope is not lost. Here’s why. The day after his inauguration in January, President Donald Trump announced Stargate, a $500 ...
Physicists continue to argue over Microsoft’s qubit claims. The entire field hangs in a delicate balance. When quantum computers become useful, ordinary consumers shouldn’t expect them as personal ...
What is the difference between artificial intelligence and quantum computing? One is a sci-fi-sounding technology that has long promised to revolutionise our world, providing researchers can sort out ...
Recent advancements in AI models, like ChatGPT, are structured to retain user interactions, which could inadvertently include sensitive healthcare data. In the healthcare field, particularly when ...
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