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Trusted data will determine the future of baggage handling SITA
IATA sees RFID (radio frequency identification) as one of the keys to transforming the baggage handling process. SITA worked with IATA back in 2017 on a detailed business case, estimating that RFID could reduce the number of mishandled bags by an extra 25% and could potentially save the air transport industry $3 billion in baggage mishandling costs. Airlines and airports are now proactively working together to boost their baggage handling efforts as part of IATA's Resolution 753, which requires airlines to "maintain an accurate inventory of baggage by monitoring the acquisition and delivery of baggage". RFID tagging is now 99.98% accurate, according to IATA. Within the next four years most baggage systems will be RFID enabled, which is a huge improvement on barcodes alone.
Facial recognition is on the rise, but artificial intelligence is already being trained to recognize humans in new ways -- including gait detection and heartbeat sensors
For private companies and government agencies trying to track peoples' movements, technology is making the task increasingly easy. Facial recognition and analysis are becoming increasingly popular surveillance tools -- the technology was rolled out in airports across the world this summer as a tool for verifying flyers' identity, and is widely used by police departments for tracking suspected criminals. Privacy-minded activists and lawmakers are now hitting back at facial recognition. The technology has been banned for law-enforcement purposes across California, and a similar bill is being weighed in Massachusetts. Meanwhile, artists and researchers have begun to develop clothes designed to thwart algorithms that detect human faces. But emerging technology presents alternate means of identifying and tracking humans beyond facial recognition.
Uber unveils new-look food delivery DRONE with rotating wings and six propellers
Uber Eats has unveiled its newest drones which will be used to deliver food in San Diego, California, next year. The new drones feature'innovative rotating wings with six rotors' - a design that has previously only been featured in flying car prototypes. Uber Eats said it believes the rotating wings will help to avoid food spillages, as the design enables a smoother transition between vertical takeoff and forward flight. Today, the company unveiled a new look for its drone, which utilises'innovative rotating wings with six rotors', a design that's usually only featured in flying car prototypes The rotors will be positioned vertically for takeoff and landing, but move into a forward position'for increased speed and efficiency during cruise flight', reports The Verge. NASA veteran Mark Moore designed similar rotors for the company's flying-taxi prototype which is also part of the companies Uber Elevate project - to take its services to the sky.
Ripsaw M5 Robot TANK with armour-piercing ammunition and on-board drones is built for the US Army
A new robotic tank that can be equipped with armour-piercing ammunition and on-board surveillance drones has been built for the US Army. Intended to serve as a'wingman' for manned tanks and other armoured vehicles, the so-called'Ripsaw M5' is adaptable for support, combat and surveillance. The M5 is the latest remote controlled successor of the US Army's manned Ripsaw MS2 tank, which had a 600 horsepower engine and max speed of 60 miles per hour. The M5 can carry a so-called'Skyraider' quadcopter, centre right-- which has a maximum air speed of 31 miles per hour (50 kph), can carry payloads of 4.4 pounds (2 kg) and remain airborne for as long as 50 minutes -- and has an optical and infrared camera turret, centre left The Ripsaw M5 is a heavily-armoured'Robotic Combat Vehicle'. It is intended to serve as a'wingman' for manned tanks and other vehicles.
Can video games help reduce symptoms of mental health conditions?
Could people with mental health conditions one day use video games to help manage their symptoms? It is a question that Tameem Antoniades, creative director of UK games developer Ninja Theory, and Paul Fletcher, a psychiatrist at the University of Cambridge, aim to answer as part of The Insight Project. The pair previously collaborated on Hellblade: Senua's Sacrifice, a video game that has won accolades for its portrayal of the experience of psychosis. As they developed the game, they wondered whether video games could also be used to measure and modify people's mental distress, and have now begun prototyping games based on biometric signals. "Instead of using a game controller, we are using your physiology," says Antoniades.
Sony considering building ยฅ100 billion chip plant for smartphone image sensors
Sony Corp. is considering spending around ยฅ100 billion ($900 million) to build a new semiconductor plant in southwestern Japan to meet the growing demand for image sensors used in smartphones, sources close to the matter said Tuesday. Sony, the world's largest maker of image sensors, is considering constructing the new plant adjacent to the site of its Isahaya plant in Nagasaki Prefecture, seeking to start operations sometime in the fiscal year ending March 2022, the sources said. The electronics giant holds about a 50 percent share of the global image sensor market. It also produces the sensors at plants in Kumamoto, Yamagata and Oita prefectures. The chip business is a key growth driver for Sony, as demand for image sensors, used in a wide range of products including self-driving vehicles, is expected to continue on an upward trend.
Hubble Telescope spots 'ghostly face' in space
Fox News Flash top headlines for Oct. 29 are here. Check out what's clicking on Foxnews.com The Hubble Telescope has spotted two galaxies colliding into one another, creating "a ghostly face" in space. The powerful space telescope, operated by NASA, the European Space Agency and Space Telescope Science Institute, took the remarkable image of the Arp-Madore 2026-424 (AM 2026-424) system, 704 million light-years from Earth, on June 19. This new image from the NASA/ESA Hubble Space Telescope captures two galaxies of equal size in a collision that appears to resemble a ghostly face.
Kaldi Creator Daniel Povey Joining Xiaomi in Beijing
Daniel Povey, the main developer of the widely used open-source speech recognition toolkit Kaldi, tweeted today that he is likely joining Chinese smartphone giant Xiaomi at its Beijing headquarters to work on a next generation "PyTorch-y Kaldi." I am very close to signing an agreement to work for Xiaomi in Beijing. Would leave before end of 2019, and would hire a small team there to work on next-gen PyTorch-y' Kaldi. Povey is a leader in voice recognition research, known for his contributions to speech recognition and language processing technologies. He and other researchers first created Kaldi as part of a Johns Hopkins University workshop in 2009.
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Any hardware requires periodic maintenance and it is a lot of money to carry out all the needed maintenance. The heavier the equipment, the more money needed. If we can optimize this, then it will help save a lot of money. This is why Predictive Maintenance is very important. Please watch this video later when available.
NVIDIA's new AI lets you recreate your pet's smile on a lion
NVIDIA, the company behind some of the most impressive graphics cards, has pulled off yet another machine learning-powered wizardry. Researchers from the Santa Clara-based chipmaker have created a new AI tool -- dubbed Ganimal -- that can take in a picture of an animal and recreate its facial expression and pose on the face of any other creature. In a paper -- titled "Few-Shot Unsupervised Image-to-Image Translation" aka FUNIT -- the image-to-image translation method leverages generative adversarial networks (GANs), a neural network that has been widely adopted in a variety of image generation and transfer scenarios. You can give the tool a spin right here and read the technical aspects of the research here. "In this case, we train a network to jointly solve many translation tasks where each task is about translating a random source animal to a random target animal by leveraging a few example images of the target animal," Ming-Yu Liu, the lead computer vision researcher behind FUNIT, said.