The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.
Michal Kosinski – the Stanford University professor who went viral last week for research suggesting that artificial intelligence (AI) can detect whether people are gay or straight based on photos – said sexual orientation was just one of many characteristics that algorithms would be able to predict through facial recognition. Kosinski, an assistant professor of organizational behavior, said he was studying links between facial features and political preferences, with preliminary results showing that AI is effective at guessing people's ideologies based on their faces. That means political leanings are possibly linked to genetics or developmental factors, which could result in detectable facial differences. Facial recognition may also be used to make inferences about IQ, said Kosinski, suggesting a future in which schools could use the results of facial scans when considering prospective students.
Whether a business requires linear, departmentalized chatbot support for basic user interactions, such as customer service or tech support, or more complex AI bots equipped with natural language processing capabilities, bots will boost your business. From improved key performance indicators like customer conversion to better results in user-behavior-based metrics such as engagement rates, both chatbots and AI bots provide a foundation for sustainable business growth through improved user experiences, scalability, and low overhead, high return efficiency. As a leader in innovative marketing technologies, I have been involved in the enterprise application of bots to assist in various business objectives. I'm also a keynote speaker on bot technology and the impact bots can have on a multitude of revenue streams. Regardless of whether a business uses focalized chatbot technology or more advanced AI bots, businesses can advance the user experience with bots while managing expenses.
A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. A drone is flown during a property inspection following Hurricane Harvey in Houston. The mass destruction brought on by Harvey has been a seminal moment for drone operators, proving that they can effectively map flooding, locate people in need of rescue and verify damage to speed insurance claims. Tropical Storm Harvey disrupted at least 17 emergency call centers and 320 cellular sites, and it caused outages for more than 148,000 Internet, TV, and phone customers, according to the Federal Communications Commission.
A new $240 million center at MIT may help advance the field of artificial intelligence by developing novel devices and materials to power the latest machine-learning algorithms. It could, perhaps, also help IBM reclaim its reputation for doing cutting-edge AI. The project, announced by IBM and MIT today, will research new approaches in deep learning, a technique in AI that has led to big advances in areas such as machine vision and voice recognition. But it will also explore completely new computing devices, materials, and physical phenomena, including efforts to harness quantum computers--exotic but potentially very powerful new machines--to make AI even more capable. "It's an area no one is touching, and it has the potential for orders-of-magnitude improvements."
You might not have, but Alexa did. Voice assistants have been successfully hijacked using sounds above the range of human hearing. Once in, hackers were able to make phone calls, post on social media and disconnect wireless services, among other things. Assistants falling for the ploy included Amazon Alexa, Apple's Siri, Google Now, Samsung S Voice, Microsoft Cortana and Huawei HiVoice, as well as some voice control systems used in cars. The hack was created by Guoming Zhang, Chen Yan and their team at Zhejiang University in China.
Science fiction has an uncanny ability to predict the future of technology, from Star Trek's Padd, essentially an iPad, to the Jetsons' robot vacuum, basically a Roomba. Now that the voice assistant is here, that's another checklist off the sci-fi predictor, but while our Alexas, Siris, Cortanas and Google Assistants are pretty basic right now, if sci-fi continues its great prelude to the future, what will the computers of the future really be like? According to Amazon's head of devices, Dave Limp, the next phase in computing is less about the physical thing and more about how and where you access it. He says: "We think of it as ambient computing, which is computer access that's less dedicated personally to you but more ubiquitous. "Our vision is to create that Star Trek computer and work backwards from that.
For drone users, Hurricane Harvey is likely to be the event that propelled unmanned aircraft to become an integral part of government and corporate disaster-recovery efforts. In the first six days after the storm hit, the Federal Aviation Administration issued more than 40 separate authorizations for emergency drone activities above flood-ravaged Houston and surrounding areas. They ranged from inspecting roadways to checking railroad tracks to assessing the condition of water plants, oil refineries and power lines. That total climbed above 70 last Friday and topped 100 by Sunday, including some flights prohibited under routine circumstances, according to people familiar with the details. Industry officials said all of the operations--except for a handful flown by media outlets--were conducted in conjunction with, or on behalf of, local, state or federal agencies.
Every smart speaker has its advantages. With Amazon Echo, you get access to tens of thousands of "skills," the mini-apps that start a game of Jeopardy or help you mix a cocktail. With Google Home, you have the full power of Google search at your beck and call. And when Apple's HomePod comes out later this year, it'll be by far the best-sounding voice-enabled speaker of the bunch. Sony doesn't have a voice assistant, but knows its way around a speaker.
Industrial Internet of Things (IIoT) is already revolutionizing domains such as manufacturing, automobiles and healthcare. But the real value of IIoT will be realized only when Machine Learning (ML) is applied to the sensor data. This article attempts to highlight how ML augments IIoT solutions by bringing intelligent insights. Cloud computing has been the biggest enabler of connected devices and enterprise IoT. Cheaper storage combined with ample computing power is the key driver behind the rise of IIoT.