... includes all of the major AI methods for (a) representing knowledge about a task or a problem area, and (b) reasoning about a problem.
"If your dad would just wear a space suit, I could monitor him." It's not often that a random joke leads to the creation of a company, but that's exactly what happened with Ejenta, a digital health startup. Maarten Sierhuis, a NASA alum, had made the comment to Rachna Dhamija, a tech veteran and his future cofounder. Both were dealing with aging parents who had health issues. Sierhuis had spent 12 years as a senior research scientist at NASA, where he used sensors and artificial intelligence (AI) to monitor astronauts in space.
How Collaborative AI, otherwise known as a Hybrid Workforce, will impact the modern workforce. Collaborative AI is a new model of work that enables employees to perform their job functions faster and with more insight as a result of teamwork with AI systems. Otherwise known as a Digital Workforce or a Hybrid Workforce, Collaborative AI frees humans from mundane, repetitive tasks in order to focus on more high-value or unique tasks. "In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together," according to a Harvard Business Review article on Collaborative AI. "Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter. What comes naturally to people (making a joke, for example) can be tricky for machines, and what's straightforward for machines (analyzing gigabytes of data) remains virtually impossible for humans. Business requires both kinds of capabilities."
Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been relatively unstudied--until now. Rigorous theoretical work has established theorems that guarantee whether a given machine learning algorithm will work as it scales up on larger computers. "The work solves a key problem of useability for quantum machine learning. We rigorously proved the conditions under which certain architectures of variational quantum algorithms will or will not have barren plateaus as they are scaled up," said Marco Cerezo, lead author on the paper published in Nature Communications today by a Los Alamos National Laboratory team.
You are in your bed, with a book and a cup of coffee in hand. It's raining, and you are savouring the sound of rain droplets buffeting your window panes while your favourite songs play in the background. And most likely, the song you are listening to is recommended by your music app. Music apps -- that leverages the latest AI, ML technologies -- have become an essential part of our daily routines. The app has over 50 million songs and collects a lot of information about music tastes, search habits, playlists, geographical location, and most-used devices.
The Merriam-Webster dictionary defines artificial intelligence (AI) as "a branch of computer science dealing with the simulation of intelligent behavior in computers" or "the capability of a machine to imitate intelligent human behavior." The layman may think of AI as mere algorithms and programs; however, there is a distinct difference from the usual programs which are task-specific and written to perform repetitive tasks. Machine learning (ML) refers to a computing machine or system's ability to teach or improve itself using experience without explicit programming for each improvement, using methods of forward chaining of algorithms derived from backward chaining of algorithm deduction from data. Deep learning is a subsection within ML focussed on using artificial neural networks to address highly abstract problems;1 however, this is still a primitive form of AI. When fully developed, it will be capable of sentient and recursive or iterative self-improvement.
Google's second-generation Nest Hub smart display now comes with radar-based sleep tracking as it attempts to keep Amazon's Alexa at bay. The new Nest Hub costs £89.99 on launch, which makes it cheaper than its predecessor and slightly undercuts competitors of a similar size. The second-generation unit has the same design as the original but is ever-so-slightly taller. The 7in LCD screen looks great and is crisp enough for viewing at arm's length or further, making it perfect for use as a digital photo frame. The body is now made of recycled plastic and the screen is covered in an edgeless glass, which makes it easier to wipe clean.
The world celebrated Women's History Month in March, and it is a timely moment for us to look at the forces that will shape gender parity in the future. Even as the pandemic accelerates digitization and the future of work, artificial intelligence (AI) stands out as a potentially helpful--or hurtful--tool in the equity agenda. McKinsey recorded a podcast in collaboration with Citi that dives into how gender bias is reflected in AI, why we must consciously debias our machine-human interfaces, and how AI can be a positive force for gender parity. Ioana Niculcea: Before we start the conversation, I think it's important for us to spend a moment assessing the amount of change that has taken place with regard to AI, and how the pace of that change has accelerated over the past few years. And many people argue that in light of the current COVID-19 circumstance, we'll feel further acceleration as people move toward digitization. I spent the past eight years in financial services, and it all started with data. Datafication of the industry was sort of the point of origin. And we hear often that over 90 percent of the data that we have today was created over the past two years. You hear things like every minute, there's over one million Facebook logins and 4.5 million YouTube videos being streamed, or 17,000 different Uber rides. There's a lot of data, and only 1 percent of that is being analyzed, as said today.
Along with its smaller sibling, the RA3000, Sony's latest sonic hardware is first and foremost a vessel for the company's immersive music format, 360 Reality Audio. From its multi-directional, seven-driver configuration to support for high-resolution audio over Wi-Fi from 3D sound sources--and a sticker-shocking $700 price point--Sony's intentions for the RA5000 as a 360RA ambassador are clear from the get-go. Following Amazon's Echo Studio smart speaker, which supports the rival Dolby Atmos Music service, the RA5000 is tasked with helping Sony blaze its own trail in the 3D music landscape. However, while the RA5000 is an ambitious device with impressive sound quality, it's also got some serious limitations at the moment, including a half-baked app, an awkward design, and a highly limited collection of songs to make it sing. But before we get into the details, what exactly is 360RA?
A decentralized company that is globally and intelligently connected, one whose employees can work from anywhere, whose customers and partners can succeed from anywhere, and whose definition of success includes all its stakeholders, is a boundless company. A boundless company has a new operating system that includes a shift in mindset and greater adoption of emerging technologies. This ebook, based on the latest ZDNet / TechRepublic special feature, helps business leaders understand the trends and technologies that will define the workplace over the next five years. The future of work has us moving away from a physical office and tethered workflow where you are chained to your desktop, laptop, or mobile device and advancing to a much more interactive experience through every digital channel -- smart speaker, webchat, messaging, SMS, and email. Many enterprise's end-customers are digital natives, as we see younger buyers who grew up in a digital omnichannel world.
If you're used to saying "Hey Siri" or "Hey Google" to launch features, Spotify is cooking up a wake phrase you might like. According to GSM Arena, it started rolling out to some users on Android, showing up via a notification. If you tap on it, you'll be prompted to give Spotify permission to record audio on your device. After you do that, you'll be able to invoke Spotify with phrases such as "Hey Spotify, play The Beatles." The feature can be turned off and on in the app's Settings, where you can also choose the voice Spotify will use to speak back to you.