Passive sensors and high resolution cameras help this robot find signs of coral reef. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. Coral reefs may soon have new swimming visitors observing their life-rich aquatic metropolises. Developed by the Woods Hole Oceanographic Institution (WHOI) Reef Solutions Initiative, this new underwater surveyor uses a combination of hydrophones, high-resolution cameras, and an onboard computer to find signs of marine life hotspots.

In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and remotely-operated or human-piloted vehicles. Recently, however, autonomous underwater vehicles equipped with cameras and embedded computers with GPU capabilities are being developed for a variety of applications, and in particular, can be used to supplement these existing data collection mechanisms where human operation or tags are more difficult. Existing approaches have focused on using fully-supervised tracking methods, but labelled data for many underwater species are severely lacking. Semi-supervised trackers may offer alternative tracking solutions because they require less data than fully-supervised counterparts. However, because there are not existing realistic underwater tracking datasets, the performance of semi-supervised tracking algorithms in the marine domain is not well understood. To better evaluate their performance and utility, in this paper we provide (1) a novel dataset specific to marine animals located at http://warp.whoi.edu/vmat/, (2) an evaluation of state-of-the-art semi-supervised algorithms in the context of underwater animal tracking, and (3) an evaluation of real-world performance through demonstrations using a semi-supervised algorithm on-board an autonomous underwater vehicle to track marine animals in the wild.

In 1818, author Mary Shelley told the story of Victor Frankenstein and his "creature" -- a tale that explored humanity's fascination with animating the unliving. This Halloween, an AI-powered séance is doing much of the same: "resurrecting" Shelley, and others, from beyond the grave. It is just one of many ways horror is being explored in different disciplines, putting a new spin on the genre's traditionally grotesque, unnatural and psychological elements. Ahead of Halloween, Grid spoke with three artists -- known for their creepy creations in artificial intelligence, dance and photography -- about how horror is explored in the media they work in. Resurrection -- and the idea of the "undead" -- is a Halloween hallmark.

Deep Learning is now powering numerous AI technologies in daily life, and convolutional neural networks (CNNs) can apply complex treatments to images at high speeds. At Unity, we aim to propose seamless integration of CNN inference in the 3D rendering pipeline. Unity Labs, therefore, works on improving state-of-the-art research and developing an efficient neural inference engine called Barracuda. Deep learning has long been confined to supercomputers and offline computation, but their usability at real-time on consumer hardware is fast approaching thanks to ever-increasing compute capability. With Barracuda, Unity Labs hopes to accelerate its arrival in creators' hands.

Barracuda declared the presentation of Cutting edge Bot security. Advanced Bot security utilizes Artificial intelligence and machine learning to enable clients to shield against the most recent robotized dangers. It is accessible for both the Barracuda WAF-as-an Administration and Web Application Firewall platforms. Web applications are the main source for hacks bringing security concerns, as per the 2019 Verizon Data Break Examinations Report, and pernicious bots represent a noteworthy risk to application security. Bots have developed from utilizing basic contents to utilizing complex strategies, for example, headless programs and machine learning to get through customary application security resistances.

Ever in the pursuit of top performance, Seagate has recently released the $510 SkyHawk and announced the SkyHawk AI 14TB drives. These employ the same basic technology found on the the IronWolf, IronWolf Pro, Barracuda, and Barracuda Pro, but are optimized for heavy-duty surveillance work where multiple cameras (up to a whopping 64, though frame rates weren't mentioned) are streaming to the hard drive. The goal being to drop nary a frame. The SkyHawk is a 3.5-inch, SATA 3 (6Gbps) hard drive with eight spinning platters and the accompanying read-write heads. It uses parallel magnetic recording and sports 256MB of DRAM cache.