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.
Employees toil at lines, doing the same task, repeatedly, in order to assemble a final product. A line stoppage or bottleneck can cost a fortune. What if the manufacturer could see what was going on, in real time, and fix any issues before they become real problems? Or come up with ways to make the process run smoother and more efficiently? That's the basic idea behind Drishti Technologies, a four-year-old startup cofounded by Prasad Akella, a 57-year-old Indian entrepreneur who's best known for leading the General Motors team that developed collaborative robots in the 1990s.
Is a killer robot takeover really inevitable? There are some scary scenarios out there but regulation can also help tremendously. If you have seen The Terminator then it is easy to understand why people may be cautious when it comes to autonomous robots. But what is science fiction and what is science fact. Elon Musk has great advice on this subject matter of regulating artificial intelligence.
Mobile apps are increasingly getting smarter at responding to user's usability in a different context, in public and enterprise environments. A user needs an application to do a task in a simpler way and faster way than human power. Mobile app automation emerges as a massive opportunity for the organization or enterprise, let's take a look at this influence of automation as a recent trend. We have some key trends in mobile app automation.
Artificial intelligence (AI) relies on big data and machine learning for myriad applications, from autonomous vehicles to algorithmic trading and from clinical decision support systems to data mining. The availability of large amounts of data is essential to the development of AI. But the scandal over the use of personal and social data by Facebook and Cambridge Analytica has brought ethical considerations to the fore - and it's just the beginning. As AI applications require ever greater amounts of data to help machines learn and perform tasks hitherto reserved for humans, companies are facing increasing public scrutiny, at least in some parts of the world. Tesla and Uber have scaled down their efforts to develop autonomous vehicles in the wake of widely reported accidents.
There is a debate roaring and it seems to be present every day. But whatever people's views are, it's clear that the implications of AI will have impacts for each and every one of us – both positively and negatively. Over my life time there has been great advances in information and communication technology and this has changed how most of us live, work and play. I just need to think back to University. Facebook was just launching, the iPhone a dream of Steve Jobs and a taxi was something you called a central booking number for.
They are not just cute and stripy, but devastatingly efficient when it comes to locating the best pollen-rich flowers. As a result, the humble bee is at the centre of a £4.8 million project to create drones and driverless cars. In a unusual experiment, scientists painstakingly stuck tiny radar transponders to hundreds of bumblebees and honey bees, to track them as they flew. Bees are famous in the animal world for their intelligence, even directing each other to delicious flowers using a'waggle dance'. To harness their navigational skills, researchers used radar to track bees' precise flight path as they buzzed over farmland in Hertfordshire Carefully avoiding painful stings, the researchers have also put bees in virtual reality chambers, then watched how their brains works as they navigate.
British Airways' parent company, IAG is implementing some cutting edge automation solutions in response to the rapid pan-industry digitalisation of the air freight sector. Announced on Thursday, IAG Cargo will start using autonomous drones in a move towards full automation of inventory counts in its air cargo facilities, following a successful trial. With a vision to fully automate inventory counts at its air cargo facilities, IAG Cargo has been working closely with FlytBase on aerial inventory scans at its Madrid facility. Inventory counting, while critical to freight and logistics operations, is a massive train on man hours, consuming thousands of hours each year across IAG Cargo's hubs in the UK, Spain, and Ireland. On top of this, rapid global growth in ecommerce and increasing customer expectations of immediacy when it comes to delivery mean that air freight operators are having to increase the frequency of counts.
February 12, 2020When German internist and surgeon Georg Kelling performed the first laparoscopic surgery in 1901, he likely hadn't envisioned that machines would one day follow in his footsteps. But today, robotic surgery is a health-care reality that promises certain benefits, like improved surgical precision that can contribute to quicker patient healing times. Still, widespread adoption of the technology has remained elusive. "The traditional approach to robotic surgery brings with it a lot of complexity and high cost," says Marcus Heneen, a design director at McKinsey Design. Today's surgical robots, Marcus explains, tend to situate the surgeon at a console in a non-sterile environment away from the patient.
China's Communist Government has extracted over 6 billion peoples biometrics, including facial, voice and personal health data to empower their Quantum Artificial Intelligence program meant for military purposes. This includes almost every American, Canadian, and European persons living today, every person in China, and Less so from groups in Africa, the Middle East, and South America. I initially made the finding public by publishing the discovery in the book AI, Trump, China and the Weaponization of Robotics without providing company names. Later, I included the findings with company names in the updated book Artificial Intelligence Dangers to Humanity. More than 1,000 AI, Robotics and Bio-Metric companies were researched to obtain the results of over 6 billion human beings who have had their bio-metrics stolen or transferred to China.