A major corporate acquisition could reshape the hardware that makes AI tick.What’s new: U.S. processor giant Nvidia, the world’s leading vendor of the graphics processing units (GPUs) that perform calculations for deep learning, struck a deal to purchase UK chip designer Arm for $40 billion.
Chips specially designed for AI are becoming much faster at training neural networks, judging from recent trials. MLPerf, an organization that’s developing standards for hardware performance in machine learning tasks, released results from its third benchmark competition.
Chips specially designed for AI are becoming much faster at training neural networks, judging from recent trials. MLPerf, an organization that’s developing standards for hardware performance in machine learning tasks, released results from its third benchmark competition.
A high-profile semiconductor startup made a bid for the future of AI computation. UK startup Graphcore released the Colossus Mk2, a processor intended to perform the matrix math calculations at the heart of deep learning more efficiently than other specialized processors.
A high-profile semiconductor startup made a bid for the future of AI computation. UK startup Graphcore released the Colossus Mk2, a processor intended to perform the matrix math calculations at the heart of deep learning more efficiently than other specialized processors.
The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.
The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.
Quantum computing has made great strides in recent years, though it still faces significant challenges. If and when it gets here, machine learning may be ready for it.
Quantum computing has made great strides in recent years, though it still faces significant challenges. If and when it gets here, machine learning may be ready for it.
Sony, the consumer-electronics powerhouse behind the PlayStation and other hit gadgets, is launching three research-and-design centers to focus on AI. Staffing up means competing with — and likely poaching talent from — frontrunners like Google, Facebook, and Microsoft.
Sony, the consumer-electronics powerhouse behind the PlayStation and other hit gadgets, is launching three research-and-design centers to focus on AI. Staffing up means competing with — and likely poaching talent from — frontrunners like Google, Facebook, and Microsoft.
Intel, which dominates the market for general-purpose processors, is shipping its long-awaited AI chips. The chip giant announced that two so-called neural network processors are available to data-center customers.
Intel, which dominates the market for general-purpose processors, is shipping its long-awaited AI chips. The chip giant announced that two so-called neural network processors are available to data-center customers.
Silicon Valley startup Cerebras shifted out of stealth mode to unveil its flagship product: an enormous chip designed from the ground up to accelerate neural networks.
Silicon Valley startup Cerebras shifted out of stealth mode to unveil its flagship product: an enormous chip designed from the ground up to accelerate neural networks.
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