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.
This article is part of KrASIA's partnership with Web Summit. The last 12 months have seen decisive change in the way we spend our free time. Mobility solutions are becoming increasingly popular, with driverless vehicles popping up across the world, while our urban spaces are evolving into smart city projects. Web Summit's lifestyle content covers it all. What CNN calls "Europe's largest tech event" gathers experts from the industries that play vital roles in our lifestyles.
With the rapid acquaintance of artificial intelligence (AI) the qualms and questions about whether robots could act immorally or soon choose to harm humans have also been raised. Some people are calling to put bans on robotics research while others are calling to conduct more research to be aware of how AI might be controlled. But how can robots learn ethical and moral behavior if there is no "user manual" for being human? This question of robotic ethics is making everyone apprehensive. We are concerned about the lack of understanding and empathy in machines like how so-called'calculating machines' are going to know that what is wrong and how to do the right thing, and even how we are going to judge and penalize by beings of steel and silicon.
What should science do about conflicts of interest? When they are identified, they become an obstacle to objectivity -- a key tenet and a cornerstone of academia and research -- and the truth behind what scientists report is called into question. Sometimes a conflict of interest is clear cut. Researchers who fail to disclose a funding source with a business interest in the outcome are often likely to undermine the legitimacy of their findings. Additionally, when an author of a paper has worked extensively on other research with an editor of a journal, the conflict of interest can look glaringly obvious.
Salesforce is backing an AI project called SharkEye which aims to save the lives of beachgoers from one of the sea's deadliest predators. Shark attacks are, fortunately, quite rare. However, they do happen and most cases are either fatal or cause life-changing injuries. Just last week, a fatal shark attack in Australia marked the eighth of the year--an almost 100-year record for the highest annual death toll. Once rare sightings in Southern California beaches are now becoming increasingly common as sharks are preferring the warmer waters close to shore.
This article is the second in a series on David Ben-Gurion's exchanges with Prof. Amos de-Shalit. A year and a half passed "quietly" since David Ben-Gurion and Prof. Amos de-Shalit last corresponded. During this time no letters or ideas were exchanged between the two. Nevertheless, the subject seems to have continued to preoccupy Ben-Gurion's thoughts, to the point where he began to read scientific articles by renowned physicists on related subjects. On June 10, 1959, Ben-Gurion decided to break his silence and sent de-Shalit a short and to-the-point letter.
The concept of self-driving cars and the pace at which they're base is enough to cover this one. Tesla is the most popular one but other companies like Uber, despite the problems, are making success in this niche. As a result of their innovation, semi-automated cars are already here and it won't take long for fully-autonomous vehicles to take over transportation and taxis. Although the government bans self-driving cars for safety issues and to protect jobs in some countries, these issues will not be there soon. Nonetheless, pilots need not be cautious for now–while there do exist self-flying software, travelers will need time to fly by a machine.
A question arises that how will it become self-aware and realize that humans stand in its way? Artificial Intelligence is the capability of a digital computer or computer-controlled robot that performs a task commonly associated with intelligent beings. Robots and AI allow producing things faster, better, and cheaper with higher consistency. AI is very disruptive for low-cost countries that provide low-cost manufacturing for international companies since robots do this cheaply. It is also disruptive to countries with higher salary levels, but not at the same level as low-cost countries. Our forefathers had the same concern with industrial revolutions.
Industrial inspection continues to be a driver of growth in the automation sector. Case in point, a $45M Series B for Percepto, which makes a drone-in-a-box system for inspection and monitoring. The fundraise comes as Percepto expands its footprint in autonomous inspection via its Percepto's Autonomous Inspection & Monitoring (AIM) platform, which harnesses third-party remote robotics. Along with Percepto's Sparrow drone, the first robot to be deployed using AIM will be Boston Dynamics' Spot robotic quadruped. Based in Israel, Percepto has led the way in the fast-moving market for robotic inspection solutions.
TL;DR: Keep your home spotless with a Cybovac E30 robot vacuum cleaner for $189.97, a 23% savings as of Nov. 24. There's nothing quite as satisfying as sitting on the couch while a robot vacuum cleans up for you. This Cybovac E30 robot vacuum has been on sale before, but now it's at an even lower price. You won't even need to enter a coupon code. The Cybovac E30 has loads of great features, including smart navigation, the ability to set cleaning zones, and an impressive 150-minute cleaning time on a single charge.
As we approach the close of a whirlwind 2020, connected devices will continue to define numerous industries in the coming year. Several trends continue to gather momentum, fueling IoT's prominence in 2021, from data-intensive experiences that use Internet of Things (IoT) devices (such as self-driving cars or wearable devices) to basic health-and-safety needs as COVID-19 continues to take center stage. At the same time, the IoT landscape remains fragmented, with various prevailing standards, connectivity options and use cases abounding. This fragmentation will continue, predicted Forrester Research, and connectivity options will be diverse rather than standardized. While 5G has been touted as the holy grail for IoT, "there will be a variety of connectivity options," said Michele Pelino, senior analyst within the infrastructure and operations research team at Forrester.