The online retailer is putting together a Toy Book containing the hottest items of this year and all the retro playthings that will make your nostalgia kick in. If you're in New York City, eBay is also opening up an interactive storefront called Toytopia where kids can come in and play with the toys. While Amazon's catalog shows the best toys of this year, eBay has the best toys of any year as long as price is no object for you. If you have some fat stacks of cash you're just waiting to burn through, eBay has a 1967 DC Justice League Games Set -- which includes Aquaman, Flash and Wonder Woman games -- for $6,000. Jump up to the $100,000 price range and you can get a Magic: The Gathering Alpha Black Lotus card.
Google Assistant wants to help you get out of bed in the morning. The search giant has long given users the ability to set'routines,' or multiple tasks that are triggered by a single command, using its digital assistant. For example, when users say'Hey Google, good morning,' it will turn your lights on, brew your coffee and read you the news. Now, a new addition to Google Assistant makes it so that routines are triggered after you hit snooze on your alarm. Google Assistant wants to help you get out of bed in the morning.
A "smart" wildfire sensor developed by two high school students in Cupertino, CA (Photo: Google) Google has set aside $25 million to fund research work by schools and other organizations using machine learning for "social good." Besides cash, the company's "AI for Social Good" project is also offering support from its artificial intelligence experts, credits and consulting from Google Cloud. Those chosen will also join a "launchpad" accelerator program with mentoring, support and access to Silicon Valley experts. Projects seeking funding need to address a societal challenge and have a clear plan to deploy the AI model for real-world impact. Organizations will have until the end of January 21, 2019 to submit their applications.
A "smart" wildfire sensor developed by two high school students in Cupertino, CA (Photo: Google) Google has set aside a $25 million pool to fund research work by schools and other organizations using machine learning for "social good." Besides cash, the company's "AI for Social Good" project is also offering support from its artificial intelligence experts, credits and consulting from Google Cloud. Those chosen will also join a "launchpad" accelerator program with mentoring, support and access to Silicon Valley experts. Projects seeking funding need to address a societal challenge and have a clear plan to deploy the AI model for real-world impact. Organizations will have until the end of January 21, 2019 to submit their applications.
Data center operators deploying tools that rely on machine learning today are benefiting from initial gains in efficiency and reliability, but they've only started to scratch the surface of the full impact machine learning will have on data center management. Machine learning, a subset of Artificial Intelligence, is expected to optimize every facet of future data center operations, including planning and design, managing IT workloads, ensuring uptime, and controlling costs. By 2022, IDC predicts that 50 percent of IT assets in data centers will be able to run autonomously because of embedded AI functionality. "This is the future of data center management, but we are still in the early stages," Rhonda Ascierto, VP of research at Uptime Institute, said. Creating smarter data centers becomes increasingly important as more companies adopt a hybrid environment that includes the cloud, colocation facilities, and in-house data centers and will increasingly include edge sites, Jennifer Cooke, research director of IDC's Cloud to Edge Datacenter Trends service, said.
In this tutorial, you'll get an introduction to deep learning using the PyTorch framework, and by its conclusion, you'll be comfortable applying it to your deep learning models. Facebook launched PyTorch 1.0 early this year with integrations for Google Cloud, AWS, and Azure Machine Learning. In this tutorial, I assume that you're already familiar with Scikit-learn, Pandas, NumPy, and SciPy. These packages are important prerequisites for this tutorial. Deep learning is a subfield of machine learning with algorithms inspired by the working of the human brain.
Using our imagination is easy. We can all close our eyes, and think of ice cream, or cake, or even better, cake and ice cream. But teaching AI to imagine things has been very difficult up until a few years ago, with the advent of Dueling Neural Networks, also known as Generative Adversarial Networks or GANS. GANs is the next frontier in Machine Learning and it involves using two Neural Networks with opposing objectives to train one another, resulting in mind-blowing results. The first network is the generator which is programmed to generate images from random noise, with the goal to fool the other network called the discriminator, which is programmed to detect whether images are real or fake.
Huawei has unveiled its new smart cities digital platform utilising artificial intelligence (AI) and Internet of Things (IoT) capabilities, which it said could be used across smart public safety, environmental protection, transportation, government, education, and agriculture. Huawei's AI Digital Platform connects what it calls the brain, or command centre; the central nervous system, or network; and the peripheral nervous system, made up of sensors across a city. "Just like an operating system, the platform is compatible with different city sensors, creates a city digital twin, and supports diverse city applications," Huawei Enterprise Business Group VP Ma Yue said. The smart cities digital platform combines AI, IoT, big data, a geographic information system, video, cloud, converged communications, and security. "Huawei has also developed a middleware platform to provide services to software application partners. This is designed to help application partners quickly develop upper-layer applications to accelerate transformation and innovation in city management, city services, and industry development," the Chinese networking giant added.
One employee traveling for work checked his dog into a kennel and billed it to his boss as a hotel expense. Another charged yoga classes to the corporate credit card as client entertainment. A third, after racking up a small fortune at a strip club, submitted the expense as a steakhouse business dinner. These bogus expenses, which occurred recently at major U.S. companies, have one thing in common: All were exposed by artificial intelligence algorithms that can in a matter of seconds sniff out fraudulent claims and forged receipts that are often undetectable to human auditors--certainly not without hours of tedious labor. AppZen, an 18-month-old AI accounting startup, has already signed up several big companies, including Amazon.com Inc., International Business Machine Corp., Salesforce.com