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Title: Quantum, Moore’s Law, and AI’s Future
In the rapidly evolving landscape of artificial intelligence (AI), innovation is key to unlocking its vast potential. Recently, a panel discussion at Imagination in Action gathered some of the best minds in the industry to share insights on AI’s future trajectory.
The conversation touched upon crucial aspects such as hardware architecture, quantum computing, and scaling, with experts highlighting the significance of these advancements for businesses and the world at large.
Forbes contributor John Werner has captured the essence of this discussion, emphasizing the importance of chip design. Julie Choi from Cerebras showcased their impressive WSE chip, a massive silicon piece roughly the size of a dinner plate, enabling centralization of AI efforts. Maheshwari emphasized that architecture and compute units are crucial in optimizing operations.
Caleb Sirak, also an expert at MIT, discussed software, highlighting the need to adapt programming languages for AI. “Programming languages are built for people,” he noted. “How do you change that to build languages and tools that AI can use?”
Furthermore, the panel addressed the pressing issue of quantum computing’s role in the development of AI. Alexander Keesling explained the concept of using atoms and electrons to create a fundamental unit of information, dubbed a quantum bit.
“Firstly, I think that the first area where we’re going to see quantum computing impact is going to be in research,” he said. “These problems, at their core, are about trying to answer what happens when atoms and electrons interact with one another and develop these emergent behaviors.”
He continued, “how we think about chemistry, how we think about drug interactions, how we think about material properties, all comes from electrons and atoms moving.”
Source: www.forbes.com
