The insect drone takes on the functions of larger UAVs, but reduces the larger drones down into a miniature undetectable device.
A fully autonomous automobile is able to decide whether it can safely enter an intersection. It is able to decide how to maneuver around other vehicles, people, and other moving objects.
The team wanted to use the robot to transform complex 3D designs from concept to physical reality in machine foam and other soft materials.
Because of their enclosed structure with all the cables routed internally, the robots are ideally equipped to handle even the most extreme conditions.
The world's biggest robots ever made were unveiled by Japanese company On-Art Corp., wants to use them to build a tourist park called Dino -A-Live.
The 4 in the 4D represents the additional level of visual process information available, "Making the invisible - visible." This means that on the screen the user receives 3D visualization of the robot's movement.
UL and Shell collaborate on a robot that performs inspections in the most challenging environments.
Going Where No Man Has Gone Before: What Does the Future Hold for Automation in the Service Industry?
Most service organisations are still at the stage of small scale trial RPA deployments summarised as "if x is true, then click button y". So how do we go on our voyage of discovery, and move from where we are now to a more automated enterprise?
Unlike other solutions, AImotive's full stack software uses the power of artificial intelligence to "see" fine detail and predict behavior, making it easier to manage common driving concerns such as poor visibility and adverse conditions.
Deep-Domain Conversational AI describes the AI technology which is required to build voice and chat assistants which can demonstrate deep understanding of any knowledge domain.
While self-driving cars get most of the credit for capturing the public's imagination, autonomous or nearly autonomous tractor-trailers are starting to move goods across the world's highways.
The development of driverless cars brings a wide set of capabilities together. From secure cloud-based mapping to next generation communication systems, there are many new ways to provide navigation for driverless systems.
We took biomechanical data from actual human trials and applied them to a robotic model that mimics human movements when transitioning between sitting and standing positions.
This machine was assembled from various parts from other machines, so "Frankenstein" was really the only logical name for it.
From DeepMind: For almost 20 years, the StarCraft game series has been widely recognised as the pinnacle of 1v1 competitive video games, and among the best PC games of all time. The original StarCraft was an early pioneer in eSports, played at the highest level by elite professional players since the late 90s, and remains incredibly competitive to this day. The StarCraft series’ longevity in competitive gaming is a testament to Blizzard’s design, and their continual effort to balance and refine their games over the years. StarCraft II continues the series’ renowned eSports tradition, and has been the focus of our work with Blizzard. DeepMind is on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be told how. Games are the perfect environment in which to do this, allowing us to develop and test smarter, more flexible AI algorithms quickly and efficiently, and also providing instant feedback on how we’re doing through scores... (more)
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RTX64 turns the Microsoft 64-bit Windows operating system into a Real-time operating system (RTOS). RTX64 enhances Windows by providing hard real-time and control capabilities to a general purpose operating system that is familiar to both developers and end users. RTX64 consists of a separate real-time subsystem (RTSS) that schedules and controls all RTSS applications independently of Windows.RTX64 is a key component of the IntervalZero RTOS Platform that comprises x86 and x64 multicore multiprocessors, Windows, and real-time Ethernet (e.g. EtherCAT or PROFINET) to outperform real-time hardware such as DSPs and radically reduce the development costs for systems that require determinism or hard real-time.