RoboBusiness 2017 is not only the best place to meet with the entire robotics and AI ecosystem; it’s also the conference that can help you maximize automation for your business. Our refocused session tracks, elite speakers, and networking opportunities are worth making plans for Sept. 27 and 28 in Santa Clara, Calif.
What are the business and ethical implications of healthcare AI? From diagnosis to patient interaction, artificial intelligence could soon change how healthcare is delivered and monitored.
Why is Pittsburgh one of the biggest robotics hubs in the U.S.? It’s thanks to a combination of strong educational institutions such as CMU, manufacturing expertise, and industry partnerships, writes one RoboBusiness 2017 speaker.
Georg Stieler, RoboBusiness speaker, researcher, and consultant for global robotics companies, shares his thoughts on the industrial use of robotics and AI.
Cobots are now so integrated into business that it’s something of a cliche to compare this new generation of automation to the clumsy, cage-bound robotics common two decades ago. Moving machines from sequestered danger zones to shared workspaces is now nothing new, and the future of cobots will likely depend on integrating humans and cobots…
The Chinese robot market, particularly for industrial automation, collaborative robots, and autonomous guided vehicles, should keep growing at a healthy pace, predicts an STM report. See how China expects to build its industry through strategic partnerships, acquisitions, and the use of integrators.
Although manufacturing has relied on robots for some time now, the biggest changes coming to industrial systems will not be in the arrival of new hardware. Instead, new robots will be distinguished by their artificial intelligence capability and connectedness with other robots. Making robots “smarter” has already proven to be key to developing more useful…
Automation trends such as improvements in materials science, the application of AI and IoT, and developing regional hubs will continue to grow the robotics industry, said panelists at PTC LiveWorx’s robotics track.
Commercial uses of UAVs and other autonomous systems will generate a lot of data, noted Intel executives at AUVSI Xponential. Intel drones are part of the company’s efforts to provide end-to-end solutions for industrial applications.
The global AI and robotics race continues to heat up, as Chinese children grow up alongside robots, North America invests in industrial automation, and Las Vegas doubles down on cybersecurity.
Cloud robotics brings the power of cloud computing to management of industrial automation, particularly machine tending. This technology is evolving along with IoT and AI, and Tend.ai is working with major collaborative robot vendors.
MIT CSAIL researchers have developed a Constraints Learning (C-LEARN) system that easily teaches robots a variety of tasks, including opening doors, transporting objects and extracting objects from containers. After a robot learns a new skill with this C-LEARN system, that knowledge can be automatically transferred to other robots.
Unmanned systems are all the rage at this week’s AUVSI Xponential in Dallas. From our first impressions, the markets for drones and related technologies are healthy, based on business and technology developments.
Meet the speaker lineup for the Robotics & Autonomous Vehicles Track at LiveWorx 2017, including Boston Engineering, CyPhy Works, Jibo, MIT, Soft Robotics, Vecna, WPI and more.
Just as PCs and smartphones have become more powerful at a lower cost, next-generation robots are destined for the same path. Increased processing power will be a main driver in mass adoption of robotics, and chip giant Intel hopes to be at the center of the movement with its Joule development platform.
The Intel Joule compute module is the company’s most advanced development kit designed to simplify prototyping and commercialization of drones and robots.
In this week’s roundup of global robotics developments, we look at Google’s self-critiquing AI, Baidu’s open-source self-driving research, and the U.S. Marine Corps’ disposable drones, among other things.
MIT explains neural networks and how deep learning has led to the recent revival of neural networks, which have been going in and out of fashion for more than 70 years.
Smart manufacturing is not just a goal for Chinese companies; it’s also a way for the country to maximize their existing industrial advantages to retain market leadership.
[email protected] is a new artificial intelligence from MIT CSAIL that aims to develop new “human-like systems” for data science and other fields.
Researchers at Stanford University show how an advanced form of machine learning called “one-shot learning” can be used to solve problems in drug discovery.
Pick and place for e-commerce order fulfillment has a new option, with RightHand Robotics’ RightPick system. The newly funded company combines gripper and sensor technology with machine learning to handle a wide range of items.
There are more global robotics developments ever week than any single person can keep track of. Fortunately, RBR and columnist Abishur Prakash have rounded up some of the recent news for you.
AI rules will be needed to standardize safeguards and liability, just as global regulations have developed for drones and self-driving cars. Even if sentient robots won’t be around anytime soon, policy makers need to consider human-robot interactions.