Robotic hands matching human capabilities

As part of the on-going rise of consumer-level robotics, recent research in artificial intelligence and bio-inspired devices has reached a new plateau of possibilities. Modern robots are now able to fill an increasingly broad scope of roles in both home and work environments. Easily one of the most important (and difficult) abilities for such machines is being able to recognize and interact with various physical objects.

As has often been the case, engineers turned to the human body itself to model both the form and function of new robot apparatuses. Since almost all robots must interact with and handle physical objects in some way, among the most commonly emulated body parts is the hand. Along with their associated computer programs and visual recognition software, robotic hands in the 2000s and 2010s had already boasted some impressive abilities. By the second half of the 2020s, however, the techniques involved have become sufficiently advanced to overcome most of the obstacles faced in previous decades.

        Around this time, some of the first robot hands equalling the capabilities of human hands are appearing in the laboratory. AI programs, using precise visual perception software, are able to recognise countless physical objects and intelligently plan for how they can be manipulated. The robotic hand is therefore able to function autonomously and self-adjust to different objects based on texture, weight and shape. All of this can be accomplished in fluid, natural movements that are largely indistinguishable from those of a real hand.

Artificial Intelligence and Automation

            AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers. Automation is basically making a hardware or software that is capable of doing things automatically. Consider the example of fire alarm systems deployed in buildings. AI is all about try to make machines or software mimic human behavior and intelligence. 

               Some of the world's biggest brands are increasingly turning to automation in order to better serve customers and to reduce costs. Big-box retailers use automated warehouses to sort and ship products, while social media networks use automation to moderate comments, and credit card companies use automation to detect fraud.

               For example, Synapse is building a network that gives anyone the ability to contribute his or her data and train automation and machine-learning models. The implications here are massive, because a new AI economy, including decentralized blockchain AI, could change the way businesses operate and learn around the world.

Autonomous Driving Car

Autonomous Driving Car is the integration of Machine Language, Artificial Intelligent, Advanced Sensors and Processing Power Systems. Self-driving  cars  in which human drivers are never required to take control to safely operate the vehicle. Also known as autonomous or driver-less cars, they combine  a variety of sensors to perceive their surroundings. Such as Radar, Sonar, GPS, inertial measurement units.

    As we know gasoline cars oldest type in the automobile sector, but now day’s electrical cars come with a new concept in the automobile sector. Autonomous cars first thing  come to your mind is "TESLA" , it is a leading organization in the autonomous field who are trying to develop autonomous driving cars. Tesla is one of the excellent and stylish car makers in the world.

             Tesla Motor best feature is totally advance technology use, so it is full autonomous driving or you say self-driving features include. You can drive this type of cars on autopilot mode without giving any instruction of driver. Tesla motors taking care regarding safety features.