Collaborating Authors

'Project Volterra': Microsoft is building an Arm dev kit on the Snapdragon compute platform


Mary Jo Foley has covered the tech industry for 30 years for a variety of publications, including ZDNet, eWeek, and Baseline. She is the author of Microsoft 2. Microsoft is working on a new Windows-on-Arm dev kit powered by Qualcomm's Snapdragon compute platform that will allow Windows developers to build Arm-native apps. Codenamed "Project Volterra," the dev kit, coming sometime later this year, will allow developers to use coming Arm-native versions of Microsoft dev tools to build apps -- especially apps that handle AI processing on the device. Microsoft announced Volterra on Day 1 of its virtual Build 2022 developers conference on May 24, hoping to generate more excitement around its Windows on Arm (WoA) platform. Microsoft has been working on Windows on Arm for years, but there are still few (if any) compelling PCs and devices running on it.

Microsoft Teams and Power Platform to get more collaboration, AI-assisted additions


Mary Jo Foley has covered the tech industry for 30 years for a variety of publications, including ZDNet, eWeek, and Baseline. She is the author of Microsoft 2. Among the 50 new product and technology announcements at Microsoft's Build 2022 developers conference are several new tools and functionality for Teams and Power Platform developers. Teams is getting a new feature called "Live Share," which will allow apps to go beyond passive screen sharing and enable participants to watch, edit/annotate and create together inside of Teams meetings. Developers can use new extensions in preview for the Teams Client software development kit (SDK) to extend existing Teams apps and create Live Share scenarios in meetings. Live Share in Teams is not the same as Live Share in Visual Studio; the two technologies with the same name are built on top of different technology stacks.

Google claims its text-to-image AI delivers 'unprecedented photorealism'


Google has shown off an artificial intelligence system that can create images based on text input. The idea is that users can enter any descriptive text and the AI will turn that into an image. The company says the Imagen diffusion model, created by the Brain Team at Google Research, offers "an unprecedented degree of photorealism and a deep level of language understanding." This isn't the first time we've seen AI models like this. OpenAI's DALL-E (and its successor) generated headlines as well as images because of how adeptly it can turn text into visuals.

Data Engineer


Plum Guide is on a mission to build the definitive collection of the world's most remarkable homestays. We are taking a systematic approach to vetting every single home on the planet and accepting only the top 3%. We do it by putting every home in a destination through a systematic vetting process, which includes identifying candidate homes through proprietary AI, interviewing hosts and sending our Home Critics to visit and test nominated homes in person. Since then we have grown incredibly quickly; expanded to 345 locations in 29 countries; tested over 600,000 homes; and developed a customer experience that's returning the highest NPS scores in the industry. We are a small but high performing team who work with every team across the business as well as building our own projects.

Data Analyst - Analytic Operations (Remote)


Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Zeitworks wants to help businesses measure and improve their productivity – TechCrunch


Seattle-based Zeitworks, which is launching its private beta today after raising a $4.5 million seed round in 2020, wants to give enterprises data-driven tools for improving the productivity of their teams and streamline their business operations. That's a market that's seeing quite a bit of growth right now, especially given how the pandemic has made remote work a standard business practice and how the overall talent crunch is forcing many businesses to do more with fewer employees. The overall idea here is to give businesses better insights into how teams work and where there are opportunities for improving business processes beyond simply using automation. "The problem that we're really addressing is that there's teams and companies in just about every industry who execute all kinds of repetitive business processes every day– and to be clear, it's business processes executed by humans," Zeitworks CEO and co-founder Jay Bartot told me. "Think about processing bank loans or insurance claims or HR onboarding of new employees, moving information from system to system. Oftentimes, those systems aren't interconnected or don't have APIs. The problem that we're solving is that the majority of these processes can't be optimized because they're undocumented and unmeasured. Unsurprisingly, understanding these processes is at the core of Zeitworks' product. But since these processes aren't documented, you can't exactly build a rule-based engine around discovering what people are doing. Instead, the company uses an AI-driven task mining system that uses signals from a wide variety of sources, mostly with a focus on the desktop applications these users interact with during their daily work. Bartot actually noted that he prefers the term'process intelligence' over'task mining,' given that task mining tends to be associated with creating RPA bots more than empowering teams and helping them work better. Now, in order to do all of this, Zeitgeist has to run its agent on an employee's desktop and those users' daily work is then tracked with quite a bit of granularity. Microsoft, with its Productivity Score, does something similar, but the company also faced quite a bit of backlash over it, given that managers could drill down to the individual employee and see how many emails they sent, chats they participated in, etc. The company later made some changes that put the focus more on the organizational level and away from individual users. "In our world, the kinds of productivity scores that we are recording are around this repetitive work -- the fact that people are processing bank loans or you know insurance claims repeatedly is a fundamental part of what we're measuring and what we're doing with pattern recognition," Bartot explained when I asked him about the potential for backlash. "So the productivity scores are really geared towards that specific kind of repetitive work.

Deep Learning


Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. A course to master this important area of Artificial Intelligence. Deep learning is a particular kind of machine learning that achieves great power and flexibility by learning to represent the world as a nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones. Specifically, it is a type of machine learning, a technique that allows computer systems to improve with experience and data. Deep Learning is about how the Artificial Intelligence systems can utilize the multiple layer models of human brain and do the things which only humans can do efficiently at present.

Walmart Expanding Drone Delivery Network to Six States WSJD - Technology

Walmart is expanding its drone delivery operations to some 4 million households in six states, as the big-box retailer looks to add speedy delivery to compete in the nascent space with the likes of Walmart said Tuesday that it will be able to deliver more than 1 million packages by drone a year in as little as 30 minutes to households in parts of Arizona, Arkansas, Florida, Texas, Utah and Virginia. The service will have a $3.99 delivery fee per order and can deliver up to 10 pounds at a time.

SteelSeries Arctis Nova Pro wireless headset review: A gamer's delight


I had a love-hate relationship with gaming. Plopping down in my desk chair, a bowl of Skittles ready, I was thrilled at the prospect of booting up Stardew Valley -- with one exception. My headset, an old, bulky beast I pilfered from my significant other, made my gaming experience less than stellar, leaving my ears pained by the time I practically ripped them off my head. Plus, other players would tell me my gaming headset made it nearly impossible to hear me. Clearly, I needed a new headset.

Build your own tiny robot dog with a kit that's $30 off


The following content is brought to you by ZDNet partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. One of the best things about technology today is that there are so many entertaining ways for kids and adults to advance their STEM skills. You'll love watching it play like a real dog, moving around on four legs instead of wheels. The legged motion allows it to have more freedom while navigating unstructured terrain.