Traditionally, silicon chips have formed the building blocks of the infrastructure that powers computers. But this research uses magnetic components instead of silicon and discovers new information about how the physics of the magnetic components can cut energy costs and requirements of training algorithms -- neural networks that can think like humans and do things like recognize images and patterns. "Right now, the methods for training your neural networks are very energy-intensive," said Jean Anne Incorvia, an assistant professor in the Cockrell School's Department of Electrical and Computer Engineering. "What our work can do is help reduce the training effort and energy costs." The researchers' findings were published this week in IOP Nanotechnology.

MOUNTAIN VIEW, Calif., April 13, 2020 -- Synopsys, Inc. announced that Groq has adopted the Synopsys ZeBu Server 4 emulation solution for its Tensor Streaming Processor (TSP) architecture development. ZeBu Server 4 performance and capacity enabled first silicon success of Groq's TSP architecture for artificial intelligence (AI) and machine learning platforms. ZeBu also enabled optimization and validation of Groq's TSP architecture prior to silicon, resulting in unmatched performance for throughput and latency. "As we redefine compute technology with our unique single-core architecture, we are enabling the development of artificial intelligence and machine learning platforms that offer twice the inference performance while drastically reducing infrastructure costs," said Adrian Mendes, chief operating officer at Groq. "Synopsys ZeBu Server 4 Cloud solution delivered the performance and capacity required to efficiently analyze performance of our Tensor Streaming Processor, enabling us to focus on silicon innovation." ZeBu Server 4 is the industry's fastest emulation system offering 2X higher performance over competitive solutions.

I read a pretty heartbreaking story this week about a young girl named Alexa who has reportedly been bullied at school. According to NBC San Diego, Alexa's classmates have been treating her just like an Amazon Echo, asking "Alexa" the weather and treating her like a "servant." Unfortunately, at least for that young girl, the name "Alexa" has become pretty much synonymous with the Amazon Echo and is often used interchangeably with other smart home devices. My guess is that Amazon won't change the name to something else. However, there is a way for you to change the name.

The "series A" round was led by Blumberg Capital, with participation from Correlation Ventures and existing investors including 235 Capital Partners. With the new funds, the San Francisco-based firm plans to support hiring and growth as the company continues to expand its user base across six continents. In contrast, the firm says its Logistics Orchestration product makes real-time data actionable, going beyond predictive visibility to achieve a new level of connectivity and responsiveness for multiple logistics partners to collaborate effectively. "Slync.io is extraordinarily well positioned with multiple customer wins from global blue chip logistics players and shippers that have traditionally built their own software systems. This indicates a tipping point in the industry where it's becoming clear to many they must move from proprietary, legacy systems to API driven modern AI-powered systems," David Blumberg, founder and managing partner of Blumberg Capital, said in a release.

Within a week, many world leaders went from downplaying the seriousness of coronavirus to declaring a state of emergency. Even the most efficacious of nations seem to be simultaneously confused and exasperated, with delayed responses revealing incompetence and inefficiency the world over. So this begs the question: why is it so difficult for us to comprehend the scale of what an unmitigated global pandemic could do? The answer likely relates to how we process abstract concepts like exponential growth. Part of the reason we've struggled so much applying basic math to our practical environment is because humans think linearly.

We are living in a Great Epoche of Experiments. Think about Renaissance or Dadaist movements. But data science, empowered by the current state of the computational periphery, allows us to do something beyond our imagination. Machine learning was the initial start of the new journey into the unknown. Deep (and unsupervised) learning is a step further.

In this article we are going to show how we built this simple experiment using various cloud based services. In order for the virtual assistant to interpret what a user wants to do, we must define user intents. One example of an intent is opening an account. Once we have created the intent, we need to define how the user will express his intent. In this case, we need to input utterances, i.e. variations of possible user statements for the intent.

McGill University researchers say they've developed a technique to train a remote-controlled, offroad car to drive on terrain from aerial and first-person imagery. Their hybrid approach accounts for terrain roughness and obstacles using on-board sensors, enabling it to generalize to environments with vegetation, rocks, and sandy trails. The work is preliminary, but it might hold promise for autonomous vehicle companies that rely chiefly on camera footage to train their navigational AI. U.K.-based Wayve is in that camp, as are Tesla, Mobileye, and Comma.ai. The researchers' work combines elements of model-free and model-based AI training methods into a single graph to leverage the strength of both while offsetting their weaknesses.

Artificial intelligence (AI) is evolving--literally. Researchers have created software that borrows concepts from Darwinian evolution, including "survival of the fittest," to build AI programs that improve generation after generation without human input. The program replicated decades of AI research in a matter of days, and its designers think that one day, it could discover new approaches to AI. "While most people were taking baby steps, they took a giant leap into the unknown," says Risto Miikkulainen, a computer scientist at the University of Texas, Austin, who was not involved with the work. "This is one of those papers that could launch a lot of future research." Building an AI algorithm takes time.

Demand for Alphabet's drone delivery Wing is soaring in a Virginia town amid the coronavirus pandemic. Residents of Christianburg are under stay at home orders and are taking advantage of the service to receive goods without having to leave their homes. Wing was approved to test deliveries in the area last October, but has recently added new vendors to better serve residents during the lockdown. The firm has made more than 1,000 deliveries in the past two weeks, with toilet paper, coffee and cookies being the most popular. Demand for Alphabet's drone delivery Wing is soaring in a Virginia town amid the coronavirus pandemic.