Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Let's use the analogy of autonomous electric cars to explore the new opportunities for the intelligent enterprise. Autonomous cars use a variety of sensors that constantly gather information about what's going on--not just traditional indicators such as speed and temperature, but also the world outside, using cameras and advanced image recognition. All the data is processed and combined on the fly to provide an optimized journey. Organizations also now have much more visibility into business processes using sensors and the internet of things. These new technologies collect and connect data that was previously siloed and use it to recognize previously unseen patterns.
Artificial intelligence keeps barreling forward, and of all the sectors it will likely impact, we ought to think through autonomous vehicles, criminal justice and the media sooner than later. Those are the first three areas that a new AI-centered philanthropic fund is engaging first. The fund formed early this year with a $27 million pool of donations from the Knight and Hewlett foundations, Reid Hoffman, the Omidyar Network, and investor Jim Pallotta. Now it's announced its first round of payouts. The main grantees won't be a surprise, as the Berkman Klein Center at Harvard and the MIT Media Lab are the anchor institutions, and will share $5.9 million.
This robot at the Institute for Artificial Intelligence can make popcorn. But is AI a topic that CEOs need to worry about today? If you're a CEO and sometimes think your technical team speaks a different language, you're not alone. My world is saturated with tech jargon because I am a venture capitalist who reviews and meets with hundreds of tech startups every month. But which buzzwords are the most important for a CEO to understand?
At a technology conference in Hannover, Germany, Marc Raibert, the founder of Boston Dynamics, outlined how his company may soon begin to turn its decades-long robotics research into an actual business. Boston Dynamics was sold to SoftBank by Alphabet last year following concerns around its ability to generate revenue. Since the acquisition, it seems that the company has ramped up testing on its increasingly dexterous and nimble robots. Earlier this year, Raibert said the company planned to start selling its SpotMini robot dogs in 2019, and onstage this week, he said the company plans to produce about 100 of the robots by the end of this year. The goal is to begin mass production at the rate of about 1,000 robots per year in the middle of 2019.
One of the most recent automation technologies to emerge is robotic process automation, or RPA. RPA is a category of software tools that enable complex digital processes to be automated by performing them in the same way a human user might perform them, using the user interface and following a set of predefined rules. What sets RPA apart from other automation technologies is that its ability to imitate a human user of one or more information systems reduces development time and extends the range of functions that can be automated across a much wider range of business activities. It is frequently used to automate financial processes, such as comparing invoices with shipment notices, or transfering data from email and call center speech-to-text systems into transactional systems of record. Many organizations have adopted it for automating back- and middle-office processes, and many have achieved rapid returns on their investments.
The work, reported May 31 in Science, is a step toward creating artificial skin for prosthetic limbs, to restore sensation to amputees and, perhaps, one day give robots some type of reflex capability. "We take skin for granted but it's a complex sensing, signaling and decision-making system," said Zhenan Bao, a professor of chemical engineering and one of the senior authors. "This artificial sensory nerve system is a step toward making skin-like sensory neural networks for all sorts of applications." This milestone is part of Bao's quest to mimic how skin can stretch, repair itself and, most remarkably, act like a smart sensory network that knows not only how to transmit pleasant sensations to the brain, but also when to order the muscles to react reflexively to make prompt decisions. The new Science paper describes how the researchers constructed an artificial sensory nerve circuit that could be embedded in a future skin-like covering for neuro-prosthetic devices and soft robotics.
Working in digital marketing keeps you fairly up to date on many of the top trending topics in the worlds of media and technology. Sometimes, a new topic or buzzword will bubble up and take hold for a while before eventually fizzing out without much of a real-world impact. Other times, a trend will have real staying power. These are the instances that create wholly new industries and transform existing ones. One trend that figures to have this kind of impact is artificial intelligence (AI).
Artificial Intelligence (or AI) is the human quality intelligence; decision making, wisdom, analyzing, and awareness revealed by machines, along with the undergrowth of computer science and engineering that seek to build up intelligent machines. A computer-based software program without AI answers the particular questions it is required to solve. Here, you can make queries according to the set of program or structure of the software program only and will get the readily available answer in the database. Hence, the scope of intelligence required is nil here. A computer-based software program with AI answers the generic questions it is required to solve.
What we refer to as autonomous mobile robots are not. They are not really autonomous that is. Autonomy suggests some level of independence by a human, or a robot, in picking which tasks to work on and how they are completed. But the ROI from mobile robots is based on the centralized intelligence that choreographs the movement of human associates and the fleet of robots that support them in in a manner that minimizes travel for the associates. Both Jerome Dubois, the Co-CEO at 6 River Systems, and Bruce Welty, the Chairman at Locus Robotics made a similar point during different presentations referred at eft's 3PL & Supply Chain Summit in Atlanta in early June.