If you asked most people, they'd probably say that computers and other gadgets are pretty good at communicating information to us, whether it's by providing directions to an important business meeting or finding the best recipe for gluten-free apple pie. And yet, computers still don't communicate with us nearly as intuitively as we communicate with each other. If you type a query into a search engine, for example, chances are you'll get a list of websites to click on. But if you ask a person a question, she'll respond with an answer, or perhaps ask another question to get more information before answering. Microsoft is hoping to improve how well computers can communicate information to us.
Accenture Launches New Artificial Intelligence Testing Services Powered by a "Teach and Test" methodology, the new services help companies validate the safety, reliability and transparency of their artificial intelligence systems NEW YORK; Feb. 20, 2018 – Accenture (NYSE: ACN) has launched new services for testing artificial intelligence (AI) systems, powered by a unique "Teach and Test" methodology designed to help companies build, monitor and measure reliable AI systems within their own infrastructure or in the cloud. Accenture's "Teach and Test" methodology ensures that AI systems are producing the right decisions in two phases. The "Teach" phase focuses on the choice of data, models and algorithms that are used to train machine learning. This phase experiments and statistically evaluates different models to select the best performing model to be deployed into production, while avoiding gender, ethnic and other biases, as well as ethical and compliance risks. Accenture AI Testing Services from Accenture Technology During the "Test" phase, AI system outputs are compared to key performance indicators, and assessed for whether the system can explain how a decision or outcome was determined.
In the past decade, terms like machine learning, artificial intelligence, and data mining are becoming greater buzzwords as computing power, APIs, and the massively increased availability of data enable new technologies like self-driving cars. However, we've been using methodologies like machine learning in psychometrics for decades. So much of the hype is just hype.
The code has been copied to your clipboard. Machines equipped with artificial intelligence (AI) have performed better than human beings in a high-level test of reading comprehension. Two natural language processing tools received higher test scores than humans in recent exams. One of the tools is a product of the American software maker Microsoft. The other was created by the Chinese online seller Alibaba Group.
In less than 20 years, Alibaba has become one of the top ten largest companies in the world, primarily due to its success as an online retailer. The internet has changed the way that we shop, and as such the company is pumping money into research projects that will help ensure that it can keep up with the next game-changing advance in e-commerce.
An AI program by China's Alibaba Holdings based on a deep neural network model has scored higher than humans in a reading comprehension test. As a result, bots may be developed to replace humans employed in customer service positions. Read more: Op-Ed: Alibaba's AI software beats humans at reading comprehension