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) …
HOUSTON – The style of attack used against oil plants in Saudi Arabia that knocked out half of the country's production on Saturday is unlikely to be a risk in the United States, energy and security experts say. "The U.S. oil industry has a lot of redundancy," said Amy Myers Jaffe, senior fellow for energy at the Council on Foreign Relations. U.S. refineries go offline often, after accidents or storms, with little impact to the market, Jaffe said. Even production in the country's biggest oil field, the Permian Basin in Texas and New Mexico, is spread across thousands of wells in a 75,000- square-mile (194,250-square-kilometer) region. The kind of gas-oil separation facility hit in the attacks in Saudi Arabia is done in smaller plants located across U.S. oil fields.
Amazon.com Inc. has adjusted its product-search system to more prominently feature listings that are more profitable for the company, said people who worked on the project--a move, contested internally, that could favor Amazon's own brands. Late last year, these people said, Amazon optimized the secret algorithm that ranks listings so that instead of showing customers mainly the most-relevant and best-selling listings when they search--as it had for more than a decade--the site also gives a boost to items that are more profitable...
TVs and radios blare that "artificial intelligence is coming," and it will take your job and beat you at chess. But AI is already here, and it can beat you -- and the world's best -- at chess. In 2012, it was also used by Google to identify cats in YouTube videos. Today, it's the reason Teslas have Autopilot and Netflix and Spotify seem to "read your mind." Now, AI is changing the field of synthetic biology and how we engineer biology.
Have you ever noticed your friends getting tagged automatically after you upload a group picture? Though the technology has now gained widespread attention, its history can be traced back to the 1960s. Woodrow Wilson (Woody) Bledsoe, an American mathematician and computer scientist, is one of the founders of pattern and facial recognition technology. Back in the 1960s, he developed ways to classify faces using gridlines. A striking fact was, even during the experimental and inception phase, the application was able to match 40 faces per hour.
Can machine learning help clean it up? A team of computer scientists spanning the globe think so. They've built a neural network that can seemingly classify tweets into four different categories: normal, aggressor, spam, and bully – aggressor being a deliberately harmful, derogatory, or offensive tweet; and bully being a belittling or hostile message. The aim is to create a system that can filter out aggressive and bullying tweets, delete spam, and allow normal tweets through. The boffins admit it's difficult to draw a line between so-called cyber-aggression and cyber-bullying.
NHS England describes clinical audit as a way of identifying whether healthcare is being provided in accordance with agreed standards and where improvements could be made to improve outcomes for patients.1 Audits may be local or national. In England the Healthcare Quality Improvement Partnership (HQIP), on behalf of the National Health Service (NHS), is responsible for overseeing and commissioning more than 30 clinical audits, which form the National Clinical Audit Programme.2 These collect and analyse data supplied by local clinicians. The national audit covering stroke is the Sentinel Stroke National Audit Programme (SSNAP).3 Stroke is a leading cause of death and disability worldwide, with an estimated 5.9 million deaths and 33 million stroke survivors in 2010.4
You are nothing more than a collection of deeply embarrassing and problematic machine learning-determined classifiers. That humbling truth is brought home by ImageNet Roulette, an online tool that gives anyone bold or foolish enough to upload a photo the opportunity to learn just exactly how artificial intelligence sees them. The project, described as "a provocation" by its creators, aims to shed light on how artificial intelligence systems view and classify humans. AI has some pretty racist and misogynistic ideas about people. Or, rather, the dataset ImageNet Roulette draws from, ImageNet, is filled with problematic categories that reflect the bias often inherent in the large datasets that make machine learning possible.
In this article I am going to walk you through the process of building, training and evaluating a prediction model for the number of ad impressions delivered in a digital marketing campaign. All the techniques can be analogously applied to other regression problems, especially to predict various campaign performance metrics. The predictions can be used to evaluate future marketing campaigns before launch as well as to determine the best parameters including e.g. You can use your own campaign data or a provided sample data set to code along in Python. Next to all source code I also provide a simple app to predict impressions, clicks and conversions for purchase-based digital marketing campaigns.
The working capacity of employees definitely depends on the training provided to them. AI provides you with a new horizon to discover new forms of technology for better training. For instance, you can use AI powered gadgets that provide practical knowledge to your employees. A simple example of using AI for training is utilizing high-quality audios and videos. You can utilize AI to make the training process more impactful and enjoyable.
Agriculture now has much bigger yields than it did a century ago, but also requires vastly more energy input.Credit: Paulo Fridman/Bloomberg via Getty In 70,000 years, Homo sapiens has grown from thousands of hunter-gatherers teetering on the brink of extinction to a global population of 7.7 billion. In Growth, Vaclav Smil explains how we have peopled the planet through our growing capacity for harvesting energy from our environment: food from plants, labour from animals and energy from fossil fuels. Civilization has developed by dominating Earth's resources. It is high: polluted land, air and water, lost wilderness and rising levels of atmospheric carbon dioxide. He argues that most economic projections predict growth by ignoring the biophysical reality of limited resources.