Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
The nasal test for Covid-19 requires a nurse to insert a 6-inch long swab deep into your nasal passages. Now, imagine that your nurse is a robot. A few months ago, a nasal swab robot was developed by Brain Navi, a Taiwanese startup. The company's intent was to minimize the spread of infection by reducing staff-patient contact. So, here we have a robot autonomously navigating the probe down into your throat, and carefully avoiding channels that lead up to the eyes.
This is using a biological-type AI system I developed at Ogma called AOgmaNeo (Arduino-compatible OgmaNeo). It is the latest implementation of SPH (Sparse Predictive Hierarchies) I have done. This isn't the final video, so I posted it on my personal channel. Hopefully a more produced one will be made soon! While it can also run on Arduino (some demos for that soon hopefully), this video is using a Pi 4, which does both training and inference in real-time (60fps) as the robot drives.
The defence industry technologies such as artificial intelligence (AI) and robotics are changing the industry and enable intelligent warfare in the decades to come. These emerging technologies will have a significant impact on defence contractors. Integrating AI into the design of traditional battle networks will immensely improve the performance of current platforms and forces soon. Prime contractors will maintain an advantage during this phase. However, as robotics and AI's capabilities arrive at an inflection point, the U.S Department of Defence will switch to smaller AI-and robotics-based systems.
In the operating theater of the future, computer-based assistance systems will make work processes simpler and safer and thereby play a much greater role than today. "However, such support features are only possible if computers are able to anticipate important events in the operating room and provide the right information at the right time," explains Prof. Stefanie Speidel. She is head of the Department of Translational Surgical Oncology at the National Center for Tumor Diseases Dresden (NCT/UCC) in Germany. Together with the Centre for Tactile Internet with Human-in-the-loop (CeTI) at TU Dresden, she has developed a method that uses artificial intelligence (AI) to enable computers to anticipate the usage of surgical instruments before they are used. This kind of system does not just provide an important basis for the use of autonomous robotic systems that could take over simple minor tasks in the operating theater, such as blood aspiration.
Japanese startups are getting ready to deploy a small army of remote-controlled robots in the workplace. Called avatar robots, the machines are still experimental and their initial objectives limited. But if everything goes as planned, they could soon be clerking at convenience stores, patrolling buildings as security guards, or even assisting astronauts in outer space. The technology has the potential to replace humans, helping solve labor shortages and providing relief to essential workers combating natural disasters. Convenience stores in Tokyo have already put prototypes of the robots to work stocking shelves with beverages, instant noodles and other goods.
Abstract: Deep Learning has enjoyed an impressive growth over the past few years in fields ranging from visual recognition to natural language processing. Improvements in these areas have been fundamental to the development of self-driving cars, machine translation, and healthcare applications. This progress has arguably been made possible by a combination of increases in computing power and clever heuristics, raising puzzling questions that lack full theoretical understanding. Here, we will discuss the relationship between the theory behind deep learning and its application. This panel discussion will be hosted remotely via Zoom.
Without much prior experience, kids can recognize other people's intentions and come up with plans to help them achieve their goals, even in novel scenarios. That's why researchers at MIT, Nvidia, and ETH Zurich developed Watch-And-Help (WAH), a challenge in which embodied AI agents need to understand goals by watching a demonstration of a human performing a task and coordinating with the human to solve the task as quickly as possible. The concept of embodied AI draws on embodied cognition, the theory that many features of psychology -- human or otherwise -- are shaped by aspects of the entire body of an organism. By applying this logic to AI, researchers hope to improve the performance of AI systems like chatbots, robots, autonomous vehicles, and even smart speakers that interact with their environments, people, and other AI. A truly embodied robot could check to see whether a door is locked, for instance, or retrieve a smartphone that's ringing in an upstairs bedroom.
Amazon Go is the first store where no checkout is required. Customer simply enter the store using the Amazon Go app to browse and take the required products or items they want and then leave. Customer being able to purchase, products without suing a counter or checkout. The following video shows how Self-driving Robot (Delivery Bot and named as YAPE) brings goods directly to you, it uses Facial Recognition to recognize the customer to deliver. It makes delivery fast and easy, bot easily navigates sidewalks. YAPE has a 70 kg loading capacity and can travel 80km on a single charge.
From self-driving cars, to digital assistants, artificial intelligence (AI) is fast becoming an integral technology in our lives today. But this same technology that can help to make our day-to-day life easier is also being incorporated into weapons for use in combat situations. And some existing weapons systems already include autonomous capabilities based on AI, developing weaponised AI further means machines could potentially make decisions to harm and kill people based on their programming, without human intervention. Countries that back the use of AI weapons claim it allows them to respond to emerging threats at greater than human speed. They also say it reduces the risk to military personnel and increases the ability to hit targets with greater precision.