The fully programmable Nao robot has been used to experiment with machine ethics. In his 1942 short story'Runaround', science-fiction writer Isaac Asimov introduced the Three Laws of Robotics -- engineering safeguards and built-in ethical principles that he would go on to use in dozens of stories and novels. They were: 1) A robot may not injure a human being or, through inaction, allow a human being to come to harm; 2) A robot must obey the orders given it by human beings, except where such orders would conflict with the First Law; and 3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws. Fittingly, 'Runaround' is set in 2015. Real-life roboticists are citing Asimov's laws a lot these days: their creations are becoming autonomous enough to need that kind of guidance.
Artificial Intelligence (AI) represents a drastic change in the technological evolution. At the moment, this technology is used in every field of science. We have seen the use of AI in various arenas such as autonomous vehicles, face recognition and robotics, among others. Similarly, it is also embedded in the medical field in areas such as disease prediction using representational images, i.e. prediction of breast cancer using CNN (Convolutional Neural Networks) in a deep learning model. But currently, we are moving a step forward into the future in order to find the risk of premature death in individuals with underlying chronic diseases.
The Mayo Clinic in Florida is using self-driving shuttles to ferry coronavirus test from a drive-thru location to its Jacksonville campus. Four vehicles have been making round trips every day since March 30th in a bid to limit exposure and free up medical staff from having to deliver the tests. Healthcare workers place the samples into a secure container and loads it into a van that deliveries it to be processed. The route is isolated from pedestrians and traffic and the van is followed by the Jacksonville Transportation Authority to ensure a safe journey. This is the'first time in history' autonomous vehicles are being used to transport medical supplies.
Adopting Artificial Intelligence (AI) to enhance productivity is increasingly viewed as a competitive advantage for companies. From productivity gains in the workplace through to autonomous cars, it's fundamentally changing the way we work and live. Sundar Pichai, Chief Executive of Alphabet, stated at Davos earlier this year that AI will be more profound for humanity "than fire and electricity". And I agree with him--AI can (and is) revolutionizing industries. But a great deal of what we see labeled as AI today is closer to automation--algorithms that crunch complex calculations and serve automated but predetermined responses.
AI-integrated software is a sophisticated system made up of several devices and applications such as predictive data analysis and machine learning systems, HD cameras and sensors, communication and display systems. AI-based fleet management platform Driveri, currently deployed in fleets across the country, is a combination of all of these components. Before understanding how each of these parts combines to create a fleet management powerhouse, it is important to know what each one does. Cameras ensure that video data can be captured, analyzed and accessed at any time leading to a better study of driver behavior, road conditions or hazards. This is significant because it creates a future of fleet management where human error is reduced across the transport cycle.
Insurance is an industry that thrives on predictability. The more certain the outcome, the more insurance firms can be sure to offer fair rates and generate value for customers and shareholders alike. As such, it's an industry that has been slow to adopt new technologies and adapt to global change. Today, however, change is here, and more is on the way. Global megatrends, from the imminent arrival of the self-driving car to accelerating climate change, threaten to disrupt the insurance sector in a way that's never been seen before.
Over 72.5 million connected car units are estimated to be sold by 2023, enabling nearly 70% of all passenger vehicles to actively exchange data with external sources. The amount of data resulting from these smart vehicles will be overwhelming for traditional data processing solutions to gather and analyze, as well as the associated latency of processing this data-- leading to potential life-or-death scenarios, according to Ramya Ravichandar, from Foghorn. We speak with Ravichandar, about how connected car manufacturers are implementing edge AI solutions for real-time video recognition, multi-factor authentication, and other innovative capabilities to decrease network latency and optimize data gathering, analyzing and security. Digital Journal: What are the current trends with autonomous and connected cars? Ramya Ravichandar: Automotive companies are looking to improve real-time functionalities and accelerate autonomous operations of passenger vehicles.
Autonomous technology continues to make an impact on the supply chain. The autonomous supply chain, applies to moving goods without human intervention (to some degree at least) or aiding in achieving inventory accuracy. One of the more interesting examples is the Belgian brewery De Halve Maan, which in an effort to reduce congestion on the city streets, built a beer pipeline under the streets. The pipeline is capable of carrying 1,500 gallons of beer an hour at 12 mph to a bottling facility two miles away. Autonomous technology is seen in warehouses and stores, on highways and in mines, and in last mile deliveries.
"The future is already being automated, and it's enabled by AI" Uber, whose AI is so central to its business model that employees "…don't even think about it anymore," is betting big on self-driving cars driving down costs. As their core driver of competitiveness, it stands to reason that if Artificial Intelligence is smart enough to drive a car it can surely help the shop owner who doubles as its sole mechanic. Our previous entry explored how AI will impact the manufacturing and distribution of auto parts, but what about the businesses that purchase and use them on a daily basis? For service centers doing everything they can to move jobs out of the bays and customers through their doors, activities that add value or increase average ticket prices can fall by the wayside. "Advances in computing power will give machines abilities once reserved for humans--the ability to understand and organize unstructured data such as photos and speech, to recognize patterns, and to learn from past experiences how to improve future performance."