Apple just sold more Macs than ever before, a beneficiary of the work and learning from home shift fueled by the coronavirus pandemic. The first Apple Macintosh computer was released in 1984, but 2020 was the winning year for the product line. During its quarterly earnings call Thursday, Apple said it sold $9 billion worth of Macs, up from $6.9 billion in the year ago quarter. "These are tremendous numbers," said Apple CEO Tim Cook on the call with investors. The company reported a fiscal fourth-quarter net income of $12.67 billion.
Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Liz O'Sullivan about the state of surveillance in the world today. What should you know about the state of surveillance in the world today? What can we do as consumers to stop unintentionally contributing to surveillance? The facial recognition industry had a reckoning after the murder of George Floyd – are things getting better?
It's nearly the end of the year, which means it's time to take a step back and reflect on 2020. Despite how much this year was an Annus Horribilis on so many levels, some very good technology products were released. While we cannot list them all, here's what made the top of our list on Jason Squared at ZDNet. In work and play, do you always give it your best? Then you probably want to give the best gifts, too, right?
As a technologist, I am gung-ho about the widespread application of technology across any domain including healthcare. In Season 1 of the You AI Podcast, I spoke with 15 medical doctors and we explored together where AI may drive the most impact in healthcare. In this session, I share the lessons that I learnt from those conversations with doctors and the underlying absorbing stories that helped me be more nuanced about where and how AI should be applied in Healthcare.
A pair of jeans reminds you that you forgot your battery-low Airpods in the back pocket. Or a tablecloth notifies you that you haven't picked up your credit card before leaving the house. These are among the futuristic applications that Microsoft's engineers have in mind for a new technology they are developing in the field of smart textiles. Dubbed Capacitivo, the project's objective is to create fabrics that can identify the objects that they come into contact with, thanks to a recognition technique known as capacitive sensing. The method, which is already known among electrical engineers, relies on electrodes detecting and measuring the changes in electric charges when contact is made with a given object.
Online shopping has drastically grown in people's life during the pandemic. Earlier, when the work was mostly professional at an office space, people spared very less time on mobile phones. Things have turned upside down now. Employees who are on remote working spend their leisure time scrolling through applications in their smartphones. They are often drawn to shopping apps that serve both as a pass-time and fashion guide.
Stefan Jockusch is not one of them. Vice president of strategy at Siemens Digital Industries Software, Jockusch says trusting an algorithm that powers an AI application is a matter of statistics. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "If it works right, and if you have enough compute power, then the AI application will give you the right answer in an overwhelming percentage of cases," says Jockusch, whose business is building "digital twin" software of physical products. He gives the example of Apple's iPhones and its facial recognition software--technology that has been tested "millions and millions of times" and produced just a few failures. "That's where the trust comes from," says Jockusch. In this episode of Business Lab, Jockusch discusses how AI can be used in manufacturing to build better products: by doing the tedious work engineers have traditionally done themselves.
Over the past decades, computer technology has been developing with an extremely high exponential rate. Humanity develops the power of computer systems implementing their application into all spheres of our daily life (production, education, medicine, economics, etc.) using devices. Thanks to the progress and continuous development of science and technology, the scope of problems to be solved are growing, and the sizes of these most used devices (computers) are decreasing. So could we assume before that computer programs/machines will be able to think, or in other words, have a certain level of thinking equivalent to the human one? Indeed, human intelligence, most likely, does not have the same computational speed as computers, but one thing is important -- a human thinks abstractly, they can solve problems, leaving some details out of the account. In addition, human intelligence can generate ideas, as well as introduce innovations.
Purchases you make through our links may earn us a commission. I don't know about you, but I've never gotten a techy or tech-adjacent gift I wasn't excited about--it's true. Opening up a gift and getting a new pair of headphones or a fun gadget I wasn't expecting is almost always fun, even if it isn't something I thought I wanted. That's the problem with trying to buy a fun new tech gift for a giftee: How do you single out the small margin of great products from the ocean of sub-par stuff? Easy--you check out our picks below. Reviewed tests tech all year long and this list is chock full of our favorite gadgets. Roku's fancy "Ultra" media streaming device has been our favorite for a couple years running now, and for good reason. Processing is snappy and the UI is extremely friendly and intuitive, making it easy to settle in for a night of Netflix (or Hulu, or Amazon Prime, or YouTube, or Twitch, or anything else) without a hitch.