The IEEE International Conference on Robotics and Automation (ICRA), taking place simultaneously at the Pennsylvania Convention Center in Philadelphia and virtually, has just kicked off. ICRA 2022 brings together the world's top researchers and most important companies to share ideas and advances in the fields of robotics and automation. This is the first time the ICRA community is reunited after the pandemic, resulting in record breaking attendance with over 7,000 registrations and 95 countries represented. As the ICRA 2022 Co-Chair Vijay Kumar (University of Pennsylvania, USA) states, "we could not be happier to host the largest robotics conference in the world in Philadelphia, and the beginning of the re-emergence from the pandemic after a three year hiatus. Many important developments in robotics and automation have historically been first presented at ICRA, and in its 39th year, ICRA 2022 promises to take this trend one step further.

For nearly two years, Walmart has been testing a drone delivery program across parts of the US. Now the company says it's ready to expand that offering. By the end of the year, the retailer plans to add 34 sites to its existing DroneUp network. With the expansion, approximately 4 million households in Arizona, Arkansas, Florida, Texas, Utah and Virginia will have access to drone deliveries from the retailer. For a delivery fee of $4, you can order up to 10 pounds of groceries and household items.

Human beings do have a lot of emotions and we as humans are able to distinguish between all of them. What if I tell you that we can expect some sort of same results from an'emotion-less machine. In this article, we will be talking about the use of the deep learning model in classifying two different emotions at a time. However, this thing can any day be extended to multi-class classification. In this project of mine, I have worked on Keras, and I have handpicked some images to make the dataset from scratch, feel free to use a pre-defined dataset of your choice. For the very initial steps, let's just import the necessary libraries and the dataset.

Artificial Intelligence (AI) powered solutions may soon make roads in India safer to drive. A unique AI approach that uses the predictive power of AI to identify risks on the road, and a collision alert system to communicate timely alerts to drivers, to make several improvements related to road safety, is being implemented in Nagpur City with the objective of bringing a significant reduction in the number of accidents. A project, 'Intelligent Solutions for Road Safety through Technology and Engineering' (iRASTE), has been launched to identify potential accident-causing scenarios while driving a vehicle and alert drivers about the same with the help of the Advanced Driver Assistance System (ADAS). The project will also identify'grey spots', i.e., by data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network. Grey spots are locations on roads, left unaddressed could become black spots (locations with fatal accidents).

While the potential of machine learning and AI has helped address several problems across many industries, it has also created an acute imbalance in the supply and demand of AI talent, says Oliver Tavakoli, CTO at Vectra. Cybersecurity companies have to deal with this shortage as they compete with major organizations for talent and "have resorted to AI-as-a-sidecar (solving a small number of peripheral problems through the application of AI) rather than AI-as-the-engine (building the core of their offerings around AI and solving peripheral problems with conventional techniques). Predictable, the former approach has resulted in a large gap in what they deliver vs. the value customers think the AI should be delivering," Tavakoli explains.

Today at Build 2022, Microsoft unveiled Project Volterra, a device powered by Qualcomm's Snapdragon platform that's designed to let developers explore "AI scenarios" via Qualcomm's new Snapdragon Neural Processing Engine (SNPE) for Windows toolkit. The hardware arrives alongside support in Windows for neural processing units (NPUs), or dedicated chips tailored for AI- and machine learning-specific workloads. Dedicated AI chips, which speed up AI processing while reducing the impact on battery, have become common in mobile devices like smartphones. But as apps like AI-powered image upscalers come into wider use, manufacturers have been adding such chips to their laptop lineups. M1 Macs feature Apple's Neural Engine, for instance, and Microsoft's Surface Pro X has the SQ1 (which was co-developed with Qualcomm).

With neural search seeing rapid adoption, more people are looking at using it for indexing and searching through their unstructured data. I know several folks already building PDF search engines powered by AI, so I figured I'd give it a stab too. How hard could it possibly be? This is just a rough and ready roadmap -- so stay tuned to see how things really pan out. If you want to follow along at home (and maybe fix a few of my bugs!), check the repo: I want to build a search engine for a dataset of arbitrary PDFs.

Many folks mainly associate Samsung with smartphones and TVs, but the company is looking at other parts of its business for long-term growth potential. In the five years to 2026, it will plow 450 trillion won ($356 billion) into strategic areas, with a focus on things like semiconductors, biotechnology and artificial intelligence. This marks Samsung's largest investment pledge to date and it's an increase from a 240 trillion won commitment it made last August. The figure is 30 percent more than the 330 trillion won the company invested in itself over the previous five-year period. The Samsung Electronics division will use the funding to bolster its chip design and manufacturing process, according to The Korea Herald.

While dating apps were once seen as taboo, they're now one of the main ways that singletons find love around the world. But if you have a profile on a dating app, a new study may encourage you to reassess which pictures you include. Researchers from the University of Colorado have revealed that men who pose topless on Tinder are seen as less competent and more promiscuous. The first dating app can be traced back to 1995 when Match.com was first launched. The website allowed single people to upload a profile, a picture and chat to people online.

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.