Adobe, along with researchers from the University of California, Berkeley, have trained artificial intelligence (AI) to detect facial manipulation in images edited using the Photoshop software. At a time when deepfake visual content is getting commoner and more deceptive, the decision is also intended to make image forensics understandable for everyone. "This new research is part of a broader effort across Adobe to better detect image, video, audio and document manipulations," the company wrote in a blog post on Friday. As part of the programme, the team trained a convolutional neural network (CNN) to spot changes in images made with Photoshop's "Face Away Liquify" feature, which was intentionally designed to change facial features like eyes and mouth. On testing, it was found that while human eyes were able to judge the altered face 53 percent of the time, the the trained neural network tool achieved results as high as 99 percent.
For one to have a successful business in the modern world, it is advisable to research and put into action various digital marketing strategies. These will help to get hold of a wider market as most customers have become tech-savvy. In 2019, one can exploit multiple digital marketing opportunities available. Smartphones have become very affordable. For this reason, people have resulted in watching less content on their TVs and are watching more videos on their phones.
Whether that's the everyday life of improbably rich young millionaires like Jake Paul, a high school dropout from Westlake, Ohio, or PewDiePie, a skinny, fast-talking Swede whose real name is Felix Arvid Ulf Kjellberg, YouTube seeks to serve a need. It does so through "the algorithm" -- YouTube's recommendation engine. It's a black box that YouTube introduced to keep us watching, but which has become a thorn in its side as the platform grows at an astronomically grand scale. YouTube's recommendation algorithm is a set of rules followed by cold, hard computer logic. It was designed by human engineers, but is then programmed into and run automatically by computers, which return recommendations, telling viewers which videos they should watch.
Background: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, which can potentially reduce the escalation of the disorder. Objective: This study used data from social media networks to explore various methods of early detection of MDDs based on machine learning. We performed a thorough analysis of the dataset to characterize the subjects' behavior based on different aspects of their writings: textual spreading, time gap, and time span. Methods: We proposed 2 different approaches based on machine learning singleton and dual.
Facebook created a new open platform for embodied AI research called AI Habitat, while Facebook Reality Labs (which up until last year was Oculus Research) released a dataset of photorealistic sample spaces it's calling Replica. Both Habitat and Replica are now available for researchers to download on Github. With these tools, researchers can train AI bots to act, see, talk, reason and plan simultaneously. The Replica data set is made of 18 different sample spaces, including a living room, conference room and two-story house. By training an AI bot to respond to a command like "bring my keys" in a Replica 3D simulation of a living room, researchers hope someday it can do the same with physical robots in a real-life living room.
You can see the AI Soldiers in action at the end of this video. In this video we continue the development of our soldier AI. We'll implement a cover system for our AI Soldiers. After this video, The AI Soldiers will look for the best suitable cover, move towards it and then begin their combat state. The AI is use pathfinding, which we implemented in part 2 of this tutorial series: https://www.youtube.com/watch?v al6fF... Our base AI uses the FSM (Finite-State Machine) Technique implemented in the first video of this tutorial: https://www.youtube.com/watch?v Mbtkp... Soldier Model used in this video: https://assetstore.unity.com/packages... #artificialIntelligence #coversystem #madewithunity
Ray Kurzweil's predictions have an 86% success rate. But what he sees in the next 50 years are mind-blowing. Check out Ray's books for more about his predictions for the future: The Age of Intelligent Machines http://amzn.to/1UMU4YM The Singularity is Near http://amzn.to/1UMUfn1 Follow me at answerswithjoe on: Facebook Twitter Instagram Snapchat Ray Kurzweil is an inventor and futurist who has championed the Law of Accelerating Returns, claiming that computer technology is following an exponential path that will lead to the Singularity - a point in time when computer power reaches super intelligence and all things are possible.
Has AI raised the floor but not the ceiling with marketing? Have we over-indexed on having content at scale? And is there a way for marketers to understand when hyper-personalization will cross the line into creepiness? In this episode of thinkPod, we are joined by Kate Bradley Chernis (Founder & CEO of Lately) and Joey Camire (principal & founding team of Sylvain Labs). We talk to Kate and Joey about whether AI will replace human marketers, where we are currently with AI and marketing, the difficulty of getting marketers to write, and how AI can bring delight to consumers. We also get into the hot debate around a company's responsibility with user data and imagine a future where each cup of yogurt is tracked. "AI as it relates to marketing is raising the floor. It doesn't totally feel like it's currently raising the ceiling." "I'm here to tell you that when marketing, it'll never replace humans altogether because it just doesn't work. "AI is not at the place right now where it's saying like, well, based on my understanding of supply and demand economics, you should be changing your price model. What you choose to do with the understanding that the system is providing you is still going to land on someone's lap. So your ability to be creative, your ability to write, your ability to wrangle concept and insight. What do you do with the information that you're being provided from a system that is finding things that you might not otherwise be able to find." –Joey Camire "How can we consistently use that [hyper-personalization] in our messaging without compromising our brand? And so the way that we succeed in doing that is really being super emotional and human.