IBM prefers artificial intelligence to humans, according to an interview published on em360tech.com, in which one of the company’s most senior executives says humans can’t see what’s right in front their faces while AI sees everything, as well as things that aren’t even there.
Rashik Parmar, IBM’s lead cloud advisor for Europe and one of the Watson team, says algorithms are smarter than humans will ever be, and that AI can spot patterns in large-scale enterprise architecture that human beings cannot.
AI can “make connections that you wouldn’t be able to make yourself”, claims computer fanatic Parmar.
Martyn Williams, managing director of industrial software expert Copa-Data UK, examines three of the most prominent automation trends of 2017 and discusses how these trends are changing manufacturing operations
As manufacturing facilities incorporate greater levels of automation, the demand for new technologies continues to grow.
Auto giant to locate research team at IBM’s Munich Watson IoT HQ, as computing colossus explores conversational interfaces in BMW i8 hybrid sports cars
IBM has entered into a new collaboration with the BMW Group, through which the companies will work together to explore the role of Watson cognitive computing in personalizing the driving experience and creating more intuitive driver support systems for cars of the future.
As part of the agreement, the BMW Group will collocate a team of researchers at IBM’s global headquarters for Watson Internet of Things (IoT) in Munich, Germany and the companies will work together explore how to improve intelligent assistant functions for drivers.
DataRobot customers have surpassed 110 million predictive models using enterprise machine learning platform
Machine learning and data science startup, DataRobot, says its customers have developed more than 110 million models using the SaaS version of the DataRobot automated machine learning platform.
The company says it serves as validation of the company’s mission to “bring automated machine learning to every corner of the enterprise” and made the announcement at the Strata + Hadoop World session, Data Science for Executives, delivered by DataRobot CEO and co-founder, Jeremy Achin.
Enterprises across every industry are embracing machine learning to remain competitive in today’s data-driven world. By allowing more professionals across an organization to use advanced algorithms to derive insights from data, machine learning is helping to alleviate issues caused by a critical shortage of data scientists. Continue reading DataRobot surpass 110 million predictive models
Daimler – the parent company of Mercedes-Benz – is placing artificial intelligence at the centre of its plans going forward, says its head of research, Anke Kleinshmit, at the company’s Future Talk conference
How is artificial intelligence influencing tomorrow’s mobility? How can we use its ideas today? How intelligent will the car of the future be? And above all: what role will people play in this?
These were the central questions discussed by Mercedes-Benz experts at the fourth Future Talk in Berlin in dialogue with scientists, engineers and journalists. In the past few years the Mercedes-Benz Future Talk has dealt with the subjects of utopia, robotics and virtuality. This time, the focus was on the integration of artificial intelligence in the field of mobility and the interaction of humans and machines.
Already in the 1960s researchers expected a major breakthrough in the development and application of artificial intelligence, but the human world still proved too complex for digital computers. However, due to the triumph of the internet, the mass of data that has become available with this and the huge increase in computing power of today’s computers, artificial intelligence is now entering people’s lives and also offers big opportunities and potential for the future of the automobile. Continue reading Mercedes research boss prioritises artificial intelligence
There is a persistent myth that the rise of automation, robotics and software is a recipe for disaster. Many people worry that technological innovation will lead to the demise of human jobs, otherwise known as structural unemployment.
These claims are dangerous for “generation Z”, creating an uneasy atmosphere of automation anxiety and paranoia over job security.
AImotive – formerly known as AdasWorks – claims to be the first to enable an artificial intelligence ecosystem for autonomous driving regardless of location, driving style or driving conditions
AImotive has launched what it says is a “full stack technology solution and the most powerful artificial intelligence software” for the automotive industry, designed to provide self-driving vehicles better safety, improved comfort and increased productivity.
AImotive used to be called AdasWorks, and the new name reflects the broader vision to “bring global accessibility to self-driving vehicles, faster and safer than any other company in the world”.
By Sundeep Sanhavi, CEO of Data RPM, who claims data science and machine learning will save lives in this exclusive article for Robotics and Automation News
Recalls happen all too frequently, often as a result of some horrendous accident or incident. But there are ways in which the predictive qualities of data science and machine learning can relegate recalls to the annals of history.
“A new car built by my company leaves somewhere traveling at 60 mph,” explains the Narrator in the film adaptation of Chuck Palahniuk’s Fight Club.
“The rear differential locks up. The car crashes and burns with everyone trapped inside. Now, should we initiate a recall? Take the number of vehicles in the field, A, multiply by the probable rate of failure, B, multiply by the average out-of-court settlement, C. A times B times C equals X. If X is less than the cost of a recall, we don’t do one.”
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.