We seek causes through science, religion, and in everyday life. We get excited when a big rock causes a big splash, and we get scared when it tumbles without a cause. But our causal cognition is usually biased. The 'why' is influenced by the 'who'. It is influenced by the 'self', and by 'others'. We share rituals, we watch action movies, and we influence each other to believe in the same causes. Human mind is packed with subjectivity because shared cognitive biases bring us together. But they also make us vulnerable. An artificial mind is deemed to be more objective than the human mind. After many years of science-fiction fantasies about even-minded androids, they are now sold as personal or expert assistants, as brand advocates, as policy or candidate supporters, as network influencers. Artificial agents have been stunningly successful in disseminating artificial causal beliefs among humans. As malicious artificial agents continue to manipulate human cognitive biases, and deceive human communities into ostensive but expansive causal illusions, the hope for defending us has been vested into developing benevolent artificial agents, tasked with preventing and mitigating cognitive distortions inflicted upon us by their malicious cousins. Can the distortions of human causal cognition be corrected on a more solid foundation of artificial causal cognition? In the present paper, we study a simple model of causal cognition, viewed as a quest for causal models. We show that, under very mild and hard to avoid assumptions, there are always self-confirming causal models, which perpetrate self-deception, and seem to preclude a royal road to objectivity.

With machine learning, Digital Domain can speed up the process while achieving an unprecedented level of photorealism in their characters.

The man dubbed the world's top quant has a message for Wall Street firms lavishing millions on machine–learning programs: Most of you are doing it …

The result is a newly-unveiled machine that they've dubbed Leonardo, … Part bipedal robot, part aerial drone, the hybridized machine was inspired by … and grow increasingly fast and stable as machine learning algorithms improve …

Before we look at what scale is required, and what IT infrastructure model is ideal, let's quickly define the stages of advanced AI and machine learning …

Instead of bowing to pressure, the daytime TV host takes on her critics; reaction on'The Five.' When I was growing up, there was a presence in my life, five days a week that sent me and others around the country, messages of kindness. That presence was Mr. Fred Rogers. Mr. Rogers extolled the virtues of being an individual and caring about others, offering everyone, regardless of their background and based on their humanity, an invitation to "be his neighbor." Our discourse in America has changed a lot in the time we have lost Mr. Rogers.

Intelligent vision systems for viewing and artificial intelligence (AI) can be implemented using the low power 0.3Mpixel image sensor announced by ON Semiconductor. The ARX3A0 digital image sensor has 0.3Mpixel resolution in a 1:1 aspect ratio. It can perform like a global shutter in many conditions, with up to 360 frames per second (fps) capture rate, yet with the size, performance and response levels that relate to being a back-side illuminated (BSI) rolling shutter sensor, explains ON Semiconductor. It has a small size, square format and high frame rate, making it particularly suitable for emerging machine vision, AI and augmented reality/virtual reality (AR/VR) applications, as well as small supplemental security cameras. To meet the demands of applications that provide still or streaming images, the ARX3A0 is designed to deliver flexible, high-performance image capture with minimal power.

In a move aimed at reducing costs and "untangling the complexities" of today's global supply chain, IBM is now offering an "integrated supply chain suite" embedded with its Watson AI and IBM Blockchain technologies. The IBM Sterling Supply Chain Suite is designed "to help organizations make their supply chains smarter, more efficient and better able to make decisions to adjust to disruptions and opportunities in an era when globalization has made supplier networks more complex and vulnerable than ever." The new suite is also open to developers and includes IBM Sterling as well as the tech firm's recently acquired Red Hat OpenShift tech platform. The suite allows developers to create "tailored solutions" while also enabling "clients to bring in third-party data, so that all connected applications and networks can benefit from it, IBM noted. The technology suite will allow manufacturers, retailers and other types of businesses "to integrate critical data, business networks and supply chain processes while capitalizing on the benefits of technologies like Watson AI, IBM Blockchain and the Internet of Things," IBM said in a statement, adding that these "intelligent, self-correcting supply chains are designed to learn from experience, creating greater reliability, transparency and security while providing new competitive advantages." Bob Lord, senior vice president of cognitive applications and developer ecosystems at IBM, sees the launch as empowering companies -- across industries -- to be more globally competitive. "Supply chains are now mission-critical systems for all businesses to drive success and profitability," he explained. "Many organizations have risen to the top of their industries by building efficient and agile supply chains.

An awkward incident has occurred in what could be termed as a limitation in the developing AI technology field. In this development, after being fed with murder images from Reddit, this AI now interprets all images as murder-related. Reddit has seriously disturbed this AI, Norman, following an MIT study. Norman's main function is to generate textual descriptions of images. The feedback from Norman so far, no matter the image, is now all about murder.