If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
BEIJING, BM, ($1 6.40 yuan) – The Chinese state media Global Times published a material in which it reveals that the pilots of the People's Liberation Army are pretending to use simulators with artificial intelligence. According to Liu Xuanzun, the process of training with artificial intelligence is two-way – the pilot learns to improve his skills, while artificial intelligence learns from the pilot's actions. There is already evidence that artificial intelligence developed in China is taking a serious advantage over pilots. In a recent "battle" between Chinese pilot Fang Guoyu, artificial intelligence won for the second time, according to the publication. China says the future of their fifth-generation J-20 fighter and next-generation fighters is based on the use of artificial intelligence.
NetHack is an open source roguelike game which only supports a single player environment. It includes permadeath and procedure wise level generation, It is known as the hardest video game to ace. NetHack was launched in July 1987, it was relaunched on 8 March 2020. Facebook has launched the NetHack Challenge at the Conference on Neural Information Processing Systems. The NetHack Challenge at Neur IPS 2021 will be the most accessible AI challenge that will pave the way for further research in AI.
These days, the task of marketing your business must include a huge digital component as the world increasingly transitions to online from real interactions. For most modern businesses, budgets demonstrate the transition to digital. For instance, digital ad spending increased by 12% in 2020, despite the pandemic. No business can afford to ignore the digital landscape and e-commerce these days. So if you're looking for ways to upgrade your digital marketing for 2021 to take advantage of recent changes, you're in the right place.
Large eyes, soft lines and vibrant coloring: You, too, can look like a character straight out of a Disney movie. The Voilà AI Artist app has taken social media by storm by providing users with AI-powered photo filters. But what happens to those images once uploaded to the web? Users can upload or take a photo, pick a mode and then save the image or upload it to social media. Voilà also has a feature that modifies images specifically of celebrities and offers a subscription service at $3 on iOS and $2 on Android a week, which eliminates ads.
If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine. There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as facultymembers doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community.
Ever wish you could mimic a font or handwriting just by taking a snapshot? Facebook has unveiled an AI research project, TextStyleBrush, that copies the text style in a photo just by looking at one example word. While past AI could do this in a narrow set of conditions, the Facebook technology can recognize a wide variety of handwriting and type styles, even with less-than-ideal angles and backgrounds. The technology works much like style brush tools from word processor apps, just applied to images. Where previous approaches depended on specific criteria like typefaces, Facebook's method tries to "disentangle" the text from its appearance.
Last week, Amazon sent me a brand new, second generation Echo Show 8. I've been an Echo Show user since nearly the beginning, and have been closely watching the evolution of all the Alexa devices. The original Echo Show, introduced almost exactly four years ago, had a 7-inch 1024x600 screen. The first generation Echo Show 8, introduced in November of 2019, had an 8-inch 1280x800 screen. Technically, the screen on that first generation Echo Show 8 was a bit bigger, and the resolution a bit better than the original Echo Show, but if you look at the one that lives on top of our water heater in the laundry room and then look at the one that lives on top of our microwave, the only way you'd be able to tell is take out a ruler and measure it. Speakers were better on the first generation Echo Show 8 than they were on the original Echo Show. Oddly enough, the camera on the Echo Show 8 was a measly 1 megapixel camera, a big step down from the original Echo Show's 5 megapixel imager.
The power of avoiding and detecting fraud in advance is clear: a few hours can have a major impact on losses. There are a host of challenges in all industries – from financial services to retail and healthcare – that need to be addressed to detect fraudulent behavior and suspicious activities. The risk especially to B2C companies is large considering the acceleration of global e-commerce. This is why companies at risk of fraud invest in machine learning as a preemptive approach to tackling this problem. As a business leader, you ask yourself: how can I start implementing this AI initiative in my organization? What are the initial steps? What should I prioritize? How to measure the outcomes? In this virtual event, we will go over fraud detection and prevention across various industries with real-world examples, demonstrating how H2O.ai has helped some of its customers, such as AT&T and PayPal. The goal is to provide our audience with a playbook on general relevant actions on how to detect and prevent fraud using AI.
If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine. There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as faculty members doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community.
Are you a fan of "indicator variables", otherwise known as "binary flags"? Binary flags are two-state variables that can take on the value of 0 or 1. They work well for classifications that are binary. In #epidemiology, "alive" or "dead" is a good binary classification, as an example. There usually is an in-hospital mortality flag in hospital datasets I've gotten, and it's 0 if you left the hospital alive, and 1 if you were not so lucky.