How do you find an elusive animal that most people have never even seen dead in a fish market? Matthew McDavitt, above, knows how.Melody Robbins This story was originally published by Hakai Magazine and is reproduced here as part of the Climate Desk collaboration. Peter Kyne sits down at his desk to write a eulogy for a fish he's never met. No scientist has seen signs of the critically endangered Rhynchobatus cooki, or clown wedgefish, since a dead one turned up at a fish market in 1996. Kyne, a conservation biologist at Charles Darwin University in Australia who studies wedgefish, has worked only with preserved specimens of the spotted sea creature. "This thing's dust," Kyne thinks, feeling defeated as he writes the somber news in a draft assessment of the global conservation status of wedgefish species for the International Union for Conservation of Nature. Wedgefish are a type of ray.

Refreshments will be provided in the atrium following the talk. Abstract – Every day, hundreds of millions of pictures and videos are captured by inexpert users and streamed and shared on the Internet. Numerous distortions can affect these visual signals: blurs, compression, jitter, shake, noise, judder, over/under-exposure, etc., often combining to create multitudes of composite impairments impossible to model analytically. The problem is made harder because the way that humans perceive distortions depends on the content being viewed: for example, different videos on which identical distortions occur can lie at opposite ends of the perceptual quality scale, because of neurophysiological masking processes. To explain modern methods of measuring perceptual visual quality, I'll explain why video signals are "special," having internal statistical structures that visual systems have optimally evolved to optimally encode and process what we see.

People take pictures and videos of the Boston Dynamics robot Spot during an event in Lisbon in 2019. People take pictures and videos of the Boston Dynamics robot Spot during an event in Lisbon in 2019. Boston Dynamics and five other robotics companies have signed an open letter saying what many of us were already nervously hoping for anyway: Let's not weaponize general-purpose robots. The six leading tech firms -- including Agility Robotics, ANYbotics, Clearpath Robotics, Open Robotics and Unitree -- say advanced robots could result in huge benefits in our work and home lives but that they may also be used for nefarious purposes. "Untrustworthy people could use them to invade civil rights or to threaten, harm, or intimidate others," the companies said.

The University of Alabama in Huntsville is working on ways to use artificial intelligence (AI) to analyze cell phone data to aid in solving crime. Dr. Tathagata Mukherjee is an assistant professor in the Department of Computer Science at UAH. He's been studying AI since 2016. He said, "Cell phones are kind of a gold mine of data because nowadays, everyone has a cell phone." T" as he prefers his students to call him, said privacy is the cornerstone of the program they are developing.

"What else can I do with AI" is what I have been hearing in professional insights groups recently. The number of solutions is exponentially growing, but AI has not yet affected the insights process as this might indicate. We all have heard of text analytics or facial recognition with AI. More and more applications pop up, and it can feel crowded …. AI is like a magician buster.

Deep Learning has successfully created hype among students and researchers. Most of the research fields require a lot of funding and well-equipped labs. However, you will only need a computer to work with DL at the initial levels. You don't even have to worry about the computation power of your computer. Many cloud platforms are available where you can run your model.

As living organisms process images with their visual cortex, many researchers have taken the architecture of the mammalian visual cortex as a model for neural networks structured to perform image recognition. Over the past 20 years, progress in computer vision has been remarkable. Some computer vision systems achieve 99% accuracy, and some run decently on mobile devices. Today's best image classification models can detect diverse catalogues of objects at high definition resolution in colour. Additionally, people sometimes use hybrid vision models that combine deep learning with classical machine-learning algorithms and perform specific sub-tasks.

Facebook is searching for your face in pictures and videos that you haven't been tagged in. The social network has revealed how it is using facial recognition to uncover more images of you, even ones you don't know about. The technology will also enable Facebook to work out if somebody is trying to impersonate you online. From today, Facebook will notify you when it thinks it has spotted you in a picture or video that nobody has tagged you in. To recognise whether or not you're in a photo or video, the site says its facial recognition system will compare images with your profile pictures and other photos and videos you're tagged in.

As more people shoot pictures and videos from consumer drones, researchers in Singapore have found a way round the frustrating task of framing and taking photos while manually piloting the craft. More than 2.8 million consumer drones are expected to be sold this year, up from 2 million last year, says research firm Gartner. Most carry some kind of camera. Picture taken November 27, 2017. The user tells the drone to take photographs from different angles of the subject, such as a statue. Next, the shot is composed by moving objects on photos from a sample gallery.

Make way for the sequel: Google on Wednesday announced the Pixel 2 and Pixel 2 XL smartphones, its follow-up devices to last year's well-received but poor selling Pixel smartphones. The search giant -- which jumped into making a range of consumer electronics under the'Made by Google' moniker a year ago -- is hoping for a better result with these successor devices, especially as it takes on Apple and its $1,000 upcoming iPhone X. Indeed, Google CEO Sundar Pichai pumped up Google's mission as being a AI-first, rather than mobile first, company. Pixel 2 starts at $649 for a version with 64GB of storage and climbs to $749 for double the storage. It comes in the kind of colors marketers love to nickname: Just Black, Clearly White and Kinda Blue.