Vector Atomic

The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithms varies depending on the application.

A Johns Hopkins research team is using AI to enhance titanium alloys, improving strength and production speed for applications from deep-sea exploration to space travel.

Austin, Texas, United States, March 8th, 2025, FinanceWire The companies expect the application to accelerate autonomy in agriculture,

Nuclear energy has been receiving a lot of positive attention given the immense benefits and potential to resolve our world's energy infrastructure challenges. With growing global energy needs, especially related to data centers to fuel the AI boom, we are facing unprecedented demand.

Is IonQ the quantum computing stock poised to dominate the AI landscape in 2025? This article explores IonQ's technology, potential applications, and investment considerations, offering insights into the future of quantum-enhanced AI.

AI-driven automation, tighter design-test collaboration, and evolving BiST techniques are redefining DFT strategies.

As the world makes the transition to renewable energy sources, the demand for efficient, long lasting batteries has grown and will continue to do so. AI tools can help researchers design and identify new materials able to support higher energy densities, faster charging times and longer lifespans.

AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Further advancements will require AI chips that can process AI calculations with high energy efficiency.