Blockchain is the new talk of the town. It is the technology behind cryptocurrencies like Bitcoin. Today, it has turned out to be a game-changer for businesses. Its decentralized ledger offers transparency and immutability in transactions between parties without any intermediary. The transactions are irreversible, which means once a ledger is updated, it can never be changed or deleted. Blockchain technology will eventually find its space in the new and innovative applications of Machine Learning and Artificial Intelligence.
Do not be swayed by the dulcet dial-tones of tomorrow's AIs and their siren songs of the singularity. No matter how closely artificial intelligences and androids may come to look and act like humans, they'll never actually be humans, argue Paul Leonardi, Duca Family Professor of Technology Management at University of California Santa Barbara, and Tsedal Neeley, Naylor Fitzhugh Professor of Business Administration at the Harvard Business School, in their new book The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI -- and therefore should not be treated like humans. The pair contends in the excerpt below that in doing so, such hinders interaction with advanced technology and hampers its further development. Reprinted by permission of Harvard Business Review Press. Excerpted from THE DIGITAL MINDSET: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI by Paul Leonardi and Tsedal Neeley.
Silicon Valley CEOs usually focus on the positives when announcing their company's next big thing. In 2007, Apple's Steve Jobs lauded the first iPhone's "revolutionary user interface" and "breakthrough software." Google CEO Sundar Pichai took a different tack at his company's annual conference Wednesday when he announced a beta test of Google's "most advanced conversational AI yet." Pichai said the chatbot, known as LaMDA 2, can converse on any topic and had performed well in tests with Google employees. He announced a forthcoming app called AI Test Kitchen that will make the bot available for outsiders to try.
In the article below, you can check out twelve examples of AI being present in our everyday lives. Artificial intelligence (AI) is growing in popularity, and it's not hard to see why. AI has the potential to be applied in many different ways, from cooking to healthcare. Though artificial intelligence may be a buzzword today, tomorrow, it might just become a standard part of our everyday lives. They work and continue to advance by using lots of sensor data, learning how to handle traffic and making real-time decisions.
Google announced on Wednesday at its I/O 2022 convention that it plans to finally launch Matter, its new but delayed smart home industry standard later this year, and has explained how it will work in home ecosystems. Matter, developed in collaboration with Apple, Amazon, and the Zigbee Alliance among others, will let users connect all enabled devices to Google Home and control them both locally and remotely with the Google Home app, including smart home controls on Androids and Google Assistant. Matter controllers will include the original Google Home speaker, Google Mini, Nest Mini, Nest Hub, Nest Hub Max, Nest Audio and Nest Wifi. Devices will connect using Fast Pair and will feature multiple compatible voice control systems and networking protocols, including Alexa, Google Assistant, and Siri, as well as Thread. While the Fast Pair feature has previously been used for headphones and audio gear, Google announced that it will soon be able to sync lightbulbs and smart plugs with Android and Nest devices. "With Matter, there's no need to build multiple versions of a smart home device to work across different ecosystems.
Whether we realize it or not, most of us deal with artificial intelligence (AI) every day. Each time you do a Google Search or ask Siri a question, you are using AI. The catch, however, is that the intelligence these tools provide is not really intelligent. They don't truly think or understand in the way humans do. Rather, they analyze massive data sets, looking for patterns and correlations.
Sonos devices have supported Amazon's Alexa voice assistant for almost five years now. The Sonos One from 2017 was the first speaker the company made with built-in microphones, and almost every speaker it's made since has worked with Alexa, not to mention Google Assistant. Despite supporting those popular services, though, Sonos has decided to build its own voice assistant. Dubbed Sonos Voice Control, the feature is specifically designed to work with music only, so this isn't exactly a competitor to Alexa and Google Assistant. Instead, it's meant to control your music as quickly as possible, and with privacy in mind.
Google plans to finally launch its new smart home industry standard called Matter this fall. Devices will all connect quickly and easily using Fast Pair and the platform will support a variety of voice assistants and networking protocols. Those include Alexa, Google Assistant, Siri as well as WiFi, Thread and Bluetooth LE. While Fast Pair feature has been used for headphones and audio gear, the company is working to use it for more things, including syncing lightbulbs and smart plugs with Android and Nest devices. You'll be able to scan a code with your phone to get things rolling, which should be quicker and easier than the current method for adding new gear to your arsenal.
For years we've been promised a computing future where our commands aren't tapped, typed, or swiped, but spoken. Embedded in this promise is, of course, convenience; voice computing will not only be hands-free, but totally helpful and rarely ineffective. That hasn't quite panned out. The usage of voice assistants has gone up in recent years as more smartphone and smart home customers opt into (or in some cases, accidentally "wake up") the AI living in their devices. But ask most people what they use these assistants for, and the voice-controlled future sounds almost primitive, filled with weather reports and dinner timers.
Avatar for a chatbot is computer-generated 3D characters used to address behavior, intelligence, and language skills. It is currently being used by businesses that are looking for virtual assistants to provide a unique and personalized experience to their customers. A chatbot avatar could be either a physical or a psychological representation of a character. Chatbots can too have an avatar to become more effective in embodying the company's brand and personality through a character. An avatar can do a far better job in understanding and conversing with a human over a basic chatbot.