Binary computers helped us to get connected with an entirely new realm of opportunities and possibilities. It took a lot of effort and time to build a computer which can execute multiple tasks and handle massive calculations at the same time.
But despite many innovations and developments, the computing systems currently available are not fast enough in handling complex problems and calculations.
The company is developing a range of hardware and software solutions for what it calls automated driving, and one of them is an onboard artificial intelligence-driven computer, which will go into production within the next few years.
One of the challenges in robotics development is the fact that the computer processing required is just massive, often too much for a complex machine to handle onboard without packing very large pieces of hardware.
One way around it has been to connect the robots up to cloud computing systems which run such things as neural networks and can remotely process data – but this is inefficient and slow.
Bright Box, a specialist provider of connected car solutions, says its new self-driving car system has been trained using a neural network, deep learning and extreme racing computer games, in particular GTA 5.
Bright Box, a European company, says its software is the basis for connected-vehicle applications used by the Nissan Smart Car app in Middle East, and KIA Remoto app.
With the acquisition of CST, based near Frankfurt, Germany, Dassault Systèmes will complement its industry solution experiences for realistic multiphysics simulation on the 3DExperience platform with full spectrum electromagnetic simulation.
CST’s Studio Suite software is used by designers and engineers at more than 2,000 leading companies in the high-tech, transportation and mobility, aerospace and defense, and energy industries to evaluate all types of electromagnetic effects during every stage of electronic system design processes. Continue reading Dassault Systèmes to acquire CST
The European Union is considering giving robots human rights under a plan to classify them as “electronic persons” and making their owners liable to pay taxes on their behalf, according to Reuters.
What’s been called a “robot revolution” in recent years has led to millions of robots of all types being built and utilised in almost every area of society – from robotic arms in the manufacturing industry, through autonomous vehicles in transportation, to domestic or service robots in commercial buildings and in the home.
No one knows exactly what the robot population on Earth is, but it’s likely to overtake segments of the human population in some countries within a decade or two. Moreover, a very large proportion of future robots are likely to be humanoids.
Scientists at the University of Sheffield have created a computer model of how bees avoid hitting walls – which could lead to a breakthrough in the development of autonomous robots.
Researchers from the Department of Computer Science built their computer model to look at how bees use vision to detect the movement of the world around them and avoid crashes.
Bees control their flight using the speed of motion – or optic flow – of the visual world around them, but it is not known how they do this. The only neural circuits so far found in the insect brain can tell the direction of motion, not the speed.
This study suggests how motion-direction detecting circuits could be wired together to also detect motion-speed, which is crucial for controlling bees’ flight.
The current struggles human player Lee Seedol is facing while playing the ancient Chinese board game Go against an artificially intelligent machine learning program is being watched with interest by the world’s media as well as computer scientists everywhere, probably.
One of those computer scientists, however, says he’s not that bothered. Professor Alois Knoll, co-ordinator of the European Clearing House for Open Robotics Development (Echord), says Google DeepMind AlphaGo is essentially just a software program inside a computer, which is much easier to develop than a mechatronics system.
A previously unknown man from South Korea has been beaten by Google’s DeepMind AlphaGo artificially intelligent computer at Go, an ancient Chinese board game that looks like a mix of checkers and solitaire.
Apparently the very idea that a computer can beat a human at Go means artificial intelligence can now be called upon to solve all of the world’s problems, humanity’s eternal wars and other foibles being a mere waystation en route.
The South Korean man at the centre of this humbling of humankind is Lee Seedol, who did manage to get one back for spontaneously occurring biological entities against his inhuman adversary, and regained some of his reputation as a grand master at the game.
But as far as most observers are concerned, the overall result of the contest was conclusive proof that resistance is futile, and so is rage, against the machines.
Professor Alois Knoll, co-ordinator of the European Clearing House for Open Robotics Development (Echord), and one of the key scientists involved in the $1.5 billion-dollar Human Brain Project, speaks exclusively to Robotics and Automation News
It’s not every day you learn a new word you like. From my point of view, having been in journalism longer than I’d like to recall, it’s an interesting experience to be reminded of an extract from a biography of Dr Samuel Johnson, “father of the English dictionary”, written by James Boswell in 1791, which I read in my teens.
By Abdul Razack, SVP of platforms, big data and analytics at Infosys
In 2011, Apple’s Siri began guiding, following, organizing, informing, taking notes and tailoring search results for millions of mobile users worldwide. She was one of the first mainstream machine learning tools powered by Artificial Intelligence (AI). And though AI has been around for decades behind the scenes and in academic circles, it was the first time the wider public took note of all the things a computer or personal device can learn to do.
Only in the 21st century has AI come to maturity, and today it is completely changing the way the working world functions. AI is everywhere around us, including at the heart of our discussions on innovation.
We are learning to capture this opportunity in the business world, in order to accelerate growth, and only by embracing technology-led innovation will we be able to unleash our true human potential. Routine tasks, which can consume us by eating away at time and resources, are well-suited for AI and automation, freeing workers to pursue new ideas and new ways tackle challenges that can only be solved with human imagination. Continue reading Artificial Intelligence: Toward a technology-powered, human-led revolution