FixBot can check on the health of your devices and talk you through necessary repairs. You can even point your phone's camera at broken gear to get started. The company's new app helps guide people through the repair process. The online repair service iFixit has a new app out today . When you open it, you will see something you've likely grown to expect in a new release: a chatbot.

Apple Shortcuts, which lets users write custom automations, recently earned some new capabilities thanks to Apple Intelligence. Here's how to make the most of this upgrade. As sentences go, "Apple Intelligence now works in Apple Shortcuts" isn't the most likely to inspire a lot of people to click a link. And that's too bad: This change, one of the more overlooked new features in macOS 26, means you can use Apple's on-board AI to do all kinds of things while designing shortcuts. Look, I get it: Apple Intelligence makes AI a feature, not a product, and features are generally less interesting to read about than full-blown products.

Has Your Pledge to Go Paperless Perished? You promised yourself you'd digitize every last receipt, document, and paper record. But the trick to getting rid of paper is to not worry about being perfect. Wanting to get rid of paper in your life is easy. Following through with that promise to yourself is hard.

Apple has retired the Mac's Launchpad, a feature that displayed all your apps and let you quickly pick the one you want to open. You can recreate the app launcher using these alternatives. The latest version of macOS, named Tahoe, added all kinds of new features to the Mac desktop. It also removed one: Launchpad. The feature, which gave Mac users an iPhone-like grid of applications complete with support for folders, is missing from macOS 26.

The drone delivery service I was trying out is operated by Meituan, China's most popular food delivery platform. In 2022, the company engaged some 6 million gig delivery workers to deliver billions of orders. But the company has also been developing drone delivery since 2017. And in Shenzhen, a southern city that's home to a mature drone supply chain, Meituan has been regularly operating such delivery routes for the last year and a half. Many big corporations have had their eyes on drone delivery: Amazon first proposed doing it in 2013, but its progress has been limited by regulations and a lack of demand.

When Hugging Face first announced itself to the world five years ago, it came in the form of an iPhone chatbot app for bored teenagers. It shared selfies of its computer-generated face, cracked jokes and gossiped about its crush on Siri. It hardly made any money. The viral moment came in 2018--not among teens, but developers. The founders of Hugging Face had begun to share bits of the app's underlying code online for free.

Building AI Models from scratch is incredibly difficult, requiring mountains of data and an army of data scientists. With the NVIDIA TAO Toolkit, you can use the power of transfer learning to fine-tune NVIDIA pretrained models with your own data and optimize for inference--without AI expertise or large training datasets. You can now experience the TAO Toolkit through NVIDIA LaunchPad, a free program that provides short-term access to a large catalog of hands-on labs. LaunchPad helps developers, designers, and IT professionals speed up the creation and deployment of modern, data-intensive applications. LaunchPad is the best way to enjoy and experience the transformative power of the NVIDIA hardware and software stack working in unison to power your AI applications.

When Hugging Face first announced itself to the world five years ago, it came in the form of an iPhone chatbot app for bored teenagers. It shared selfies of its computer-generated face, cracked jokes and gossiped about its crush on Siri. It hardly made any money. The viral moment came in 2018--not among teens, but developers. The founders of Hugging Face had begun to share bits of the app's underlying code online for free.

MicroAI, the pioneer in edge-native artificial intelligence (AI) and machine learning (ML) software, announces that it will be demonstrating its Launchpad quick-start deployment tool and MicroAI Security software at this year's CES exhibition, which takes place in Las Vegas from 5th to 7th January 2022. MicroAI will be demonstrating Launchpad with iBASIS, a global communications solution provider, at booth 12318. Using connectivity provided by iBASIS, the demo will show how Launchpad can be easily used to manage MicroAI software running on embedded devices, and to handle data from multiple sensors, for example temperature information, as well as to manipulate, analyze and present this data on a single screen. The demo will also show how Launchpad can securely administer an entire fleet of SIM cards, all within the same portal, thus simplifying mobile device management for customers. "Edge-native AI enables embedded AI software to run on microcontrollers and microprocessors in endpoint devices, transforming how AI can be made available right where data is captured," said MicroAI CEO Yasser Khan.

Today, Radium, a startup that aims to use artificial intelligence and machine learning to extract more computing power from cloud hardware, announced it was leaving stealth mode and deploying its solutions to cloud datacenters run by Cyxtera in Toronto, the New York and New Jersey metro area, and Silicon Valley. The main product, called Launchpad, lets users start and shut down projects on bare metal machines, eliminating the extra layers of hypervisors and virtualization software. Radium offered benchmark tests on machine learning jobs that showed speed increases ranging from 30% and 140%. "Our initial testing shows that bare metal servers offer a good cloud computing platform for the high-performance deep learning and inference workloads required for these types of applications," said Srinivasa Narasimhan, a professor at Carnegie Mellon's School of Computer Science, who has been working with the company to test its product. Many cloud products rely heavily on virtualization software layers, or "hypervisors," that allow one physical machine to simulate a variety of smaller machines that appear independent to users.