I'm old enough (safely in my thirties) to remember a time before we all carried digital cameras with almost unlimited memory. With a roll of film, you had 24 chances to capture a moment. What you had was what you got. As a kid, the only opportunity I had to really perfect my pose was when my mom took me to the mall to get our glamour shots done. I was reminded of this when I showed my coworker my Pixy selfies, cringing, and he remarked that it looked like I was putting out a garage rock album. Punk and grunge pics are ostentatiously unposed and unfiltered, which is exactly how the Pixy rolls.

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Insta360, best known for its action and 360 degree cameras, has just launched an interesting drone camera. The Insta360 Sphere attaches around the body of DJI's Mavic Air 2 or Air 2S drones, letting you film 5.7K 360 footage or create regular 2D videos with the option of reframing them later in post. Better still, Insta360's tech ensures that the drone is "invisible" in shots. Since 360 cameras film in all directions, half the video can be obstructed by the drone itself. However, Insta360 mounted cameras on either side of the drone to ensure it doesn't appear in the footage.

Tom is also a co-inventor of an advanced 3D flight navigation algorithm for drones which is being utilised in new software applications for Aerologix. Tom guest lecturers at one of Australia's top universities – The University of New South Wales, teaching subject matter on Unmanned flight, he also holds a position on a government subcommittee dedicated to developing rules and regulations for unmanned aerial vehicles. Tom's passion for disruptive technology is infections, he is always looking for new challenges, especially drone tech and IoT. Tom has a very successful track record of establishing, executing and delivering large complex technical projects, Tom recently set up the largest drone network in Australia to monitor 1700 km of coastline to enhance swimmer safety. Tom enjoys complex problem solving and welcomes the challenge of empowering team members and creating new innovative ways to solve real-world problems. He has a high passion for life and enjoys a healthy lifestyle, and loves adventure sports such as kitesurfing, mountain biking when time permits.

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.

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 Amazon.com 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.

At least three people have been killed in Yemen's capital Sanaa when an armed drone crashed in a busy neighbourhood after being shot down, Houthi officials said. The health minister in the rebel Houthi administration that runs Sanaa said another three people were injured on Monday when the drone landed in a commercial area, the official news agency reported. In a statement, the Houthis said that their air defence system downed the drone and that it belonged to the Saudi-led coalition, which backs the Yemeni government in the country's war. "Our air defences downed a Chinese-made CH4 armed spy plane belonging to the Saudi air force with a surface-to-air missile," Houthi military spokesman Yahya Saree said on Twitter. Before a while,Our air defenses shot down a Chinese-made armed spy plane CH4 belonging to the Saudi Air Force with a locally-made surface-to-air missile, while violating the truce and carrying out hostile acts in the airspace of the capital, Sana'a.

One of the major lessons learnt from the ongoing Ukraine-Russia war is that multi-domain battle space is getting more influenced by technology. And these include usage of swarms of drones, missiles, unmanned ground vehicles and more. And all of these are being driven by Artificial Intelligence or computer algorithms – these are used in the war zones to not only process huge quantities of information, but have the ability to make decisions. "Artificial intelligence is definitely being leveraged for enhancing the current C4ISR capabilities. The National Task Force had identified the 12 AI domains and the Indian Army has since undertaken projects both in-house as well as with the industry, especially deep tech start-ups," the Indian Army Chief Gen Manoj Pande told Financial Express Online.

Mobile artificial intelligence is disrupting the already breakneck-paced mobile app development game. In 2020, the mobile AI sector reached a valuation of 2.14 billion dollars, and that number is expected to grow 4.5x by the year 2026. It's safe to say that mobile artificial intelligence is here to stay, so let's find out how this innovative technology is used in mobile app development. Mobile artificial intelligence aims at making mobile technology smarter and more functional for users. A well-known example of the power of mobile AI is Amazon's Alexa Shopping product, which has freed up countless hours of customer support grunt work for Amazon.

A network of unmanned aerial vehicles (UAVs) provides distributed coverage, reconfigurability, and maneuverability in performing complex cooperative tasks. However, it relies on wireless communications that can be susceptible to cyber adversaries and intrusions, disrupting the entire network's operation. This paper develops model-based centralized and decentralized observer techniques for detecting a class of stealthy intrusions, namely zero-dynamics and covert attacks, on networked UAVs in formation control settings. The centralized observer that runs in a control center leverages switching in the UAVs' communication topology for attack detection, and the decentralized observers, implemented onboard each UAV in the network, use the model of networked UAVs and locally available measurements. Experimental results are provided to show the effectiveness of the proposed detection schemes in different case studies.