A world where there are no car accidents, congestion is a thing of the past, and artificial intelligence (AI)and Internet of Things drive the future are no longer wishful thinking. At Bosch's annual press conference held earlier this year, Dr Volker Denner, chairman of the board of management for Bosch, outlined the company's future strategic plans for automated cars and the impact AI and the IoT will have on many things in the not-too-distant future. "The one relates to the other: artificial intelligence makes connectivity a personal, even emotive experience. As with its Cloud Suite being set up to help fast track advancements in mobility offerings, Bosch recently set up the Bosch Center for Artificial Intelligence (BCAI) as a place where the interplay between connectivity and AI meet.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.
The global artificial intelligence market is expected to reach USD 35,870.0 million by 2025 from its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas, according to this new report. Advances in image and voice recognition are driving the growth of the artificial intelligence market as improved image recognition technology is critical to offer enhanced drones, self-driving cars, and robotics. The two major factors enabling market growth are emerging AI technologies and growth in big data espousal. Further key findings from the report suggest: - Growth in the volume of data being generated from different end-use industries is expected to provide traction to the technology adoption - The increasing adoption of image and pattern recognition in the Asia-Pacific region is expected to provide new growth opportunities over the forecast period.
The new job roles that will dominate the IT workforce are within digital domains such as big data, artificial intelligence, Internet of Things (IoT), cloud computing and cybersecurity, according to the report "How Automation is Changing Work Choices: The Future of IT Jobs in India" released this month by Simplilearn. "While there is a risk to jobs due to these trends, the good news is that a huge number of new jobs are getting created as well in areas like cybersecurity, cloud, big data, machine learning and AI," said Kashyap Dalal, chief business officer,Simplilearn, in a statement. Piyush Mishra, technology leader -- food security, Tata Services, said that the group was working on a precision agriculture technology where an unmanned aerial vehicle or a drone can be used for aerial spraying on farms. "In addition to labour, it (spraying) has multiple impacts on farmer life -- from health to efficiency and productivity," said Mr. Mishra at the CII event.
BERLIN: Scientists have developed a new artificial intelligence system that can decode brain signals, an advance that may help severely paralysed patients communicate with their thoughts. Researchers from University Hospital Freiburg in Germany led by neuroscientist Tonio Ball showed how a self-learning algorithm decodes human brain signals that were measured by an electroencephalogram (EEG). The system could be used for early detection of epileptic seizures, communicating with severely paralysed patients or make automatic neurological diagnosis. "Our software is based on brain-inspired models that have proven to be most helpful to decode various natural signals such as phonetic sounds," said Robin Tibor Schirrmeister, University Hospital Freiburg.
Dame Stephanie Shirley, whose company was one of the first to sell software in the 1960s, said that engaging very young children – in particular girls – could ignite a passion for puzzles and problem-solving long before the "male geek" stereotype took hold. "I don't think you can start too early," she said, adding that evidence suggested that the best time to introduce children to simple coding activities was between the ages of two and seven years. "Companies run by women still have extraordinary difficulty in getting venture capital," she said. Such technology is already being tested at Priors Court in Berkshire, a residential school for autistic children that Shirley founded.
The leaders of the next industrial revolution are companies making advances in fields such as robotics, machine learning, digital fabrication (including 3D printing), the Industrial Internet, the Internet of Things (IoT), data analytics and blockchain (a system of decentralized, automated transaction verification). Manufacturers of tools, hardware, instruments, and heavy equipment are adding sensors and connectivity to their products, enabling predictive maintenance, security, and frequent upgrades. The most successful platforms match customers with vendors, maintain an appealing and effective customer experience, and collect data and rents from people who use the system. GE has announced its goal to be "the world's first digital industrial company"; its cloud-based Predix platform combines data analytics, connectivity, cyber-protection, and offerings such as the Digital Twin, a simulation of industrial processes based on digital profiles of more than half a million machines.
Amazon (AMZN) today kicked off its user conference for its AWS cloud computing service, "AWS Summit," in New York, and I stopped by the Javitz convention center where it was being held to meet with one of the keynote speakers, Matt Wood, who is the director of product management for the "deep learning" efforts within artificial intelligence at AWS. He seems especially proud of the fact that there is "tons of genomics today running on AWS, a lot of analysis happens there." In particular, he notes the increase in "inference at the edge," meaning, in client computing devices and other things that are not inside the data center. I wrapped up the conversation asking Wood what he thinks of machines making machines, meaning, machine learning being able to design new algorithms for machine learning, a kind of self-reflexive moment in A.I.
Policy schools need to start making AI a central part of their curriculums; ethicists and others need to debate the pros and cons of various hypothetical inventions before the hypothetical becomes real; military establishments need to develop innovation strategies that wrestle with the subject. People have reasons to fear fully autonomous weaponry, but if a Terminator-like entity is what they are thinking of, their worries are premature. Despite many states having signed the Non-Proliferation Treaty, a ban on the use and further development of nuclear weapons, the treaty has not prevented North Korea from building a nuclear arsenal. If Western countries decided to ban fully autonomous weaponry and a North Korea fielded it in battle, it would create a highly fraught and dangerous situation.
IBM has applied AI to security in the form of its Watson "cognitive computing" platform. Within a decade, humans may well be interacting with lifelike emotionally responsive AI robots, very similar to the premise of the HBO series Westworld and the film I, Robot. This coming generation of malware, which inevitably becomes part of any Internet-based ecosystem, will be situation-aware, meaning that it will understand the environment it is in and make calculated decisions about what to do next, behaving like a human attacker: performing reconnaissance, identifying targets, choosing methods of attack, and intelligently evading detection. Autonomous malware operates much like branch prediction technology, designed to guess which branch of a decision tree a transaction will take before it is executed.