Video game devotees eager for more information on the upcoming PlayStation 5 – and the games coming for the next generation console – will soon have more details. Sony, which has said the PS5 will hit the market this holiday season, is planning a presentation for Thursday, June 4 at 4 p.m. ET/1 p.m. PT on the PlayStation YouTube and Twitch channels, according to Jim Ryan, President & CEO of Sony Interactive Entertainment. "I'm excited to share that we will soon give you a first look at the games you'll be playing after PlayStation 5 launches this holiday," he said in a blog post Friday. "The games coming to PS5 represent the best in the industry from innovative studios that span the globe. Studios, both larger and smaller, those newer and those more established, all have been hard at work developing games that will showcase the potential of the hardware."
To step onto city streets means taking your chances with cameras recording your every move. Over the years, surveillance tools such as face recognition and artificial intelligence have made it easier for states to capture and identify a person in schools, banks, stores or busy intersections. In some cases, our own phones serve as surveillance tools, with social media helping users spread their recordings. Most recently, a video taken by a bystander shows the death of 46-year-old George Floyd after a white police officer kneeled on the Floyd's neck, causing outrage and protests across the nation. Body-worn cameras are also used by police officers, making it a surveillance tool for both the law enforcement and members of the community.
The U.S. is using every tool at its disposal to defeat the novel coronavirus, including artificial intelligence. American laboratories are harnessing AI to discover new therapeutics. The Food and Drug Administration approved an AI tool to help detect coronavirus in CT scans. And the White House led an initiative to create a database with more than 128,000 articles that scientists can analyze using AI to help understand the virus better and develop treatments.
A business operation hard hit by COVID-19 is the call center. Industries ranging from airlines to retailers to financial institutions have been bombarded with calls--forcing them to put customers on hold for hours at a time or send them straight to voicemail. A recent study from Tethr of roughly 1 million customer service calls showed that in just two weeks, companies saw the percentage of calls scored as "difficult" double from 10 percent to more than 20 percent. Issues stemming from COVID-19--such as travel cancellations and gym membership disputes--have also raised customer anxiety, making call center representatives' jobs that much more challenging. Companies thinking about investing in speech recognition should consider a deep learning-based approach, and what to take into consideration before implementing it.
The "Sensors for Robotics: Technologies and Global Markets" report has been added to ResearchAndMarkets.com's offering This report sizes the market by technology, including sensors within the vision, touch, hearing, and movement segments. The top seven application areas are sized, forecast, and discussed in-depth. These include agriculture, appliances, automotive, healthcare, industrial, logistics, and military. In addition, the overall market and each application area are assessed on a worldwide and regional basis, including North America, Latin America, Europe, the Middle East and Africa, and Asia-Pacific. This report considers the economic slowdown caused by lockdown across the world owing to the COVID-19 pandemic.
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve.
If your work puts you in regular contact with technology vendors, you'll have heard terms such as artificial intelligence (AI), machine learning (ML), natural language processing and computer vision before. You'll have heard that AI/ML is the future, that the boundaries of these technologies are constantly being pushed and broadened, and that AI/ML will play an integral role in shaping this tech-forward era's most successful business models. As a technology leader, I've heard all these claims and more. To say that AI/ML will play an increasingly impactful role in business is no overstatement. According to a recent Forbes article, the machine learning market is poised to more than quadruple in the coming years.
"I would say everyone has read at least once an algorithmically produced article," said Robert Weissgraeber, CTO and Managing Director of AX Semantics. In many cases, readers don't see a difference between human- and bot-authored copy, Weissgraeber told Built In. His company, AX Semantics, is one of several -- including Narrative Science and Automated Insights -- exploring natural language generation, or automated writing. The technology can be used to generate product descriptions, quarterly earnings reports, fantasy football recaps and journalism. The Washington Post, for instance, has developed an AI-enabled bot, Heliograf, that helps generate election and sports coverage.
Imagine that you've just managed to get your hands on a dataset from a clinical trial. Pretend that these datapoints map out the relationship between the treatment day (input "feature") and the correct dosage of some miracle cure in milligrams (output "prediction") that a patient should receive for over the course of 60 days. Now imagine that you're treating a patient and it's day 2. What dose do you suggest we use? I really hope you answered "17mg" since this was definitely not supposed to be a trick question. Now, how would you build software to output the right doses on days 1–5?