A former NASA engineer braved shark infested waters to finally uncover if these'ruthless killers' prefer the taste of human or fish blood. Now a YouTuber, Mark Rober setup the gruesome experiment by placing human blood and that from a fish on two modified surfboards. The liquids were pumped into the ocean over the course of an hour while Rober and his team stood by counting the number of visits to each board. Using a drone, Rober and his team calculated the fish blood board was approached 134 times by the sharks, making it the winner. A former NASA engineer braved shark infested waters to finally uncover if these'ruthless killers' prefer the taste of human or fish blood.
Self-driving cars often use a combination of normal two-dimensional cameras and depth-sensing'LiDAR' units to recognize the world around them. However, others make use of visible light cameras that capture imagery of the roads and streets. They are trained with a wealth of information and vast databases of hundreds of thousands of clips which are processed using artificial intelligence to accurately identify people, signs and hazards. In LiDAR (light detection and ranging) scanning - which is used by Waymo - one or more lasers send out short pulses, which bounce back when they hit an obstacle. These sensors constantly scan the surrounding areas looking for information, acting as the'eyes' of the car.
One factor that could prevent a similar outcome in the upcoming race is the ability to test-run cars on a virtual racetrack. The simulation software company Ansys Inc. has already developed a model of the Indianapolis Motor Speedway on which teams will test their algorithms as part of a series of qualifying rounds. "We can create, with physics, multiple real-life scenarios that are reflective of the real world," Ansys President Ajei Gopal told The Wall Street Journal. "We can use that to train the AI, so it starts to come up to speed." Still, the race could reveal that self-driving cars aren't quite ready to race at speeds of over 110 mph.
Huyn Kim is the CEO and Co-Founder of Superb AI, a company that provides a new generation machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient training data workflows. What initially attracted you to the field of AI, Data Science and Robotics? As an undergraduate majoring in Biomedical Engineering at Duke, I was passionate about genetics and how we can engineer our DNA to cure diseases or create genetically engineered organisms. I remember one wet-lab experiment distinctly that kept failing for like 6 months straight. The most frustrating part of it was that there was a lot of repetitive manual work, and in hindsight that was probably the root of some many potential errors.
The Iraqi army says two senior security officials have been killed in a "blatant Turkish drone attack" in the country's north, where Ankara has for weeks been raiding positions of fighters it considers "terrorists". The drone targeted a vehicle belonging to the Iraqi border guards in the Bradost area, north of Erbil, the military said in a statement on Tuesday. The strike caused the deaths of the two border guard battalion commanders and the vehicle's driver. There was no immediate statement by Turkey. The deaths announced by the military marked the first time members of the regular Iraqi forces have been killed since Turkey launched a cross-border ground and air operation in mid-June against the Kurdistan Workers' Party (PKK) in the mountainous terrain of northern Iraq.
I love the sci-fi movie genre. Futuristic scenarios, jaw-dropping visuals, a tight storyline knitting it all together – that's a recipe for a box office hit. Anyone who grew up in the 80s and 90s will be intimately familiar with the Terminator franchise. And once I moved into the machine learning space, my appreciation and interest in these movies grew multifold! What we once thought of as unrealistic scenarios are now playing out in the real world.
Self-driving cars rely on hardware and software to drive down the road without user input. The hardware collects the data; the software organizes and compiles it.This animation explains the basic operation of self-driving vehicles. Self-driving cars combine a variety of sensors to perceive their surroundings, such as radar, lidar, sonar, GPS, odometry and inertial measurement units. The challenge for driverless car designers is to produce control systems capable of analyzing sensory data in order to provide accurate detection of other vehicles and the road ahead. Modern self-driving cars generally use Bayesian simultaneous localization and mapping (SLAM) algorithms, which fuse data from multiple sensors and an off-line map into current location estimates and map updates.
In this article, we have mentioned what data annotation or labeling is, and what are its types and benefits. Besides this, we have also listed the top tools used for labeling images. The process of labeling texts, images, and other objects help ML-based algorithms to improve the accuracy of the output and offer an ultimate user experience. A reliable and experienced machine learning company holds expertise on how to utilize these data annotations for serving the purpose an ML algorithm is being designed for. You can contact such a company or hire ML developers to develop an ML-based application for your startup or enterprise. Read More: How does Machine Learning Revolutionizing the Mobile Applications?
The White House and Defense Department on Monday announced a plan to accelerate the process by making a crucial new chunk of spectrum available to the wireless industry. The spectrum, which telecom companies will share with the Pentagon, aims to help wireless carriers offer 5G more broadly across the US. It also should generate billions of dollars for the US Treasury when auctioned off. The frequency is currently being used for high-power defense radar, but the DoD has determined that it can be freed up without affecting military systems. "It's a big deal," for the wireless industry, says Jason Leigh, an analyst at IDC who focuses on 5G.
In the era of automation and digital transformation, the shipping industry is undergoing dramatic changes to increase efficiency and safety at the port and on the high seas. From small boats to massive container ships, these seafaring vessels are integral components of the global economy. Maritime companies are developing the next generation of autonomous ships and leveraging artificial intelligence, machine learning, and more to design 21st-century smart ports. That said, inherent within digital transformation is of course the transformative process itself. Historically, some ports have relied on rather low-tech, manual solutions.