Intel's second-generation Xe2 Arc GPUs are real, and once again, they could be compelling options for gamers looking for capable video cards under 250. Confirming leaks from the past week, Intel today unveiled the 249 Arc B580 and the slightly less capable 219 B570, both of which target 1,440p gaming. They feature the company's new XeSS2 AI capabilities (which are also coming to the older Arc cards), including Super Resolution upscaling (like the original XeSS), frame generation and low latency modes. The goal, according to Intel, is to deliver more performance per dollar compared to NVIDIA's 299 RTX 4060 and AMD's Radeon 7600. It's a noble pitch, but one that's also a repeat of what Intel attempted with its previous Arc GPUs.

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The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Intel today announced a major update to its neuromorphic computing program, including a second-generation chip called Loihi 2 and Lava, an open-source framework for developing "neuro-inspired" applications. The company is now offering two Loihi 2-based neuromorphic systems -- Oheo Gulch and Kapoho Point -- through a cloud service to members of the Intel Neuromorphic Research Community (INRC) and Lava via GitHub for free. Along with Intel, researchers at IBM, HP, MIT, Purdue, and Stanford hope to leverage neuromorphic computing -- circuits that mimic the human nervous system's biology -- to develop supercomputers 1,000 times more powerful than any today. Custom-designed neuromorphic chips excel at constraint satisfaction problems, which require evaluating a large number of potential solutions to identify the one or few that satisfy specific constraints.

The chipmaker also unveiled a next-gen Movidius Vision Processing Unit whose updated computer vision architecture promises over 10 times the inference performance while reportedly managing efficiency six times better than rivals. Those claims have yet to pan out in the real world, but it's safe to presume that anyone relying on Intel tech for visual AI work will want to give this a look. You'll have to be patient for the Movidius chip when it won't ship until sometime in the first half of 2020. This could nonetheless represent a big leap for AI performance, at least among companies that aren't relying on rivals like NVIDIA. Intel warned that bleeding-edge uses of AI could require performance to double every 3.5 months -- that's not going to happen if companies simply rely on conventional CPUs.

Intel is no stranger to AI-oriented chips, but now it's turning its attention to those chips that might be thousands of miles away. The tech firm has introduced two new Nervana Neural Network Processors, the NNP-T1000 (below) and NNP-I1000 (above), that are Intel's first ASICs designed explicitly for AI in the cloud. The NNT-T chip is meant for training AIs in a'balanced' design that can scale from small computer clusters through to supercomputers, while the NNP-I model handles "intense" inference tasks. The chipmaker also unveiled a next-gen Movidius Vision Processing Unit whose updated computer vision architecture promises over 10 times the inference performance while reportedly managing efficiency six times better than rivals. Those claims have yet to pan out in the real world, but it's safe to presume that anyone relying on Intel tech for visual AI work will want to give this a look.

JERUSALEM (Reuters) - Intel Corp on Tuesday unveiled its latest processor that will be its first using artificial intelligence (AI) and is designed for large computing centers. The chip, developed at its development facility in Haifa, Israel, is known as Nervana NNP-I or Springhill and is based on a 10 nanometer Ice Lake processor that will allow it to cope with high workloads using minimal amounts of energy, Intel said. Facebook, it said, already has started using the product. Intel said its first AI product comes after it had invested in Israeli AI startups, including Habana Labs and NeuroBlade. "In order to reach a future situation of'AI everywhere', we have to deal with huge amounts of data generated and make sure organizations are equipped with what they need to make effective use of the data and process them where they are collected," said Naveen Rao, general manager of Intel's artificial intelligence products group.

JERUSALEM (Reuters) - Intel Corp on Tuesday unveiled its latest processor that will be its first using artificial intelligence (AI) and is designed for large computing centers. The chip, developed at its development facility in Haifa, Israel, is known as Nervana NNP-I or Springhill and is based on a 10 nanometer Ice Lake processor that will allow it to cope with high workloads using minimal amounts of energy, Intel said. Facebook, it said, already has started using the product. Intel said its first AI product comes after it had invested in Israeli AI startups, including Habana Labs and NeuroBlade. "In order to reach a future situation of'AI everywhere', we have to deal with huge amounts of data generated and make sure organizations are equipped with what they need to make effective use of the data and process them where they are collected," said Naveen Rao, general manager of Intel's artificial intelligence products group.

Intel has been exploring neuromorphic tech for awhile, and even designed a chip in 2012. Instead of logic gates, it uses "spiking neurons" as a fundamental computing unit. Those can pass along signals of varying strength, much like the neurons in our own brains. They can also fire when needed, rather than being controlled by a clock like a regular processor. Intel's Loihi chip has 1,024 artificial neurons, or 130,000 simulated neurons with 130 million possible synaptic connections.

Lots of tech companies including Apple, Google, Microsoft, NVIDIA and Intel itself have created chips for image recognition and other deep-learning chores. However, Intel is taking another tack as well with an experimental chip called "Loihi." Rather than relying on raw computing horsepower, it uses an old-school, as-yet-unproven type of "nueromorphic" tech that's modeled after the human brain. Intel has been exploring neuromorphic tech for awhile, and even designed a chip in 2012. Instead of logic gates, it uses "spiking neurons" as a fundamental computing unit.

Lots of tech companies including Apple, Google, Microsoft, NVIDIA and Intel itself have created chips for image recognition and other deep-learning chores. However, Intel is taking another tack as well with an experimental chip called "Loihi." Rather than relying on raw computing horsepower, it uses an old-school, as-yet-unproven type of "nueromorphic" tech that's modeled after the human brain. Intel has been exploring neuromorphic tech for awhile, and even designed a chip in 2012. Instead of logic gates, it uses "spiking neurons" as a fundamental computing unit.