With the ongoing developments in the Artificial Intelligence (AI) realm, all these possibilities might not appear far-fetched after all.
Nearly 50,000 visitors are expected at a computing conference 2017 is hosted by Alibaba Group, a Chinese e-commerce giant, which is held in East China's Hangzhou city.
At the recent Davos meeting in the winter, the China Blockchain Application Research Center released a report showing that China's blockchain patent and blockchain financing growth rate far exceeds that of the United States and leads the world.
This paper raises objections to this view, thinking that machine learning ≠ data statistics, deep learning has made a significant contribution to our handling of complex unstructured data problems, and artificial intelligence should be appreciated.
Alibaba Group has already launched its et agricultural brain for use in pig farms very recently at a technological event in Shanghai, China.
Every new technology is born with a question mark, and the evolution of new technology often does not write a full stop.
With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.
Alibaba Cloud is working closely with local customers in joint innovation projects, and has started to launch new services for Chinese and international customers simultaneously to narrow the service gap.
Yankuang Donghua Cement ET Brain Project is a new and old kinetic energy conversion benchmark project built by Yanhuan Donghua Cement and Alibaba Cloud. This is also the first landing project after the signing of the contract between Yankuang Group and Alibaba Cloud.
Machine learning means learning from data; AI is a buzzword. Machine learning is not like the hype of hype: by providing the appropriate training data to the appropriate learning algorithms, you can solve countless problems.
Alibaba's Fashion AI brings AI to the fashion world and offers customers personalized mix-and-match recommendations.
As the amount of data grows, so does the time it takes for machines to process data. Augmented reality, virtual reality, artificial intelligence, robotics, real-time analytics, and machine learning algorithms all require cloud computing to provide unlimited fast and unlimited computing power and infinite storage space.
Machine learning (ML) and artificial intelligence (AI) are now hot topics in the IT industry. Similarly, containers have become one of the hot topics. We introduce both machine learning and containers into the image, and experiment to verify that they will work together to accomplish the classification task.
ConnecTechAsia, the inaugural umbrella event encompassing CommunicAsia, BroadcastAsia and the new NXTAsia, will take place from 26 to 28 June at Marina Bay Sands and Suntec Singapore with a spotlight on the latest technology innovations and the most critical shifts that are impacting businesses and audiences today.
The IT hot words "cloud computing" and "big data" have been listed on the red-headed document, becoming objects that need to be widely publicized and learned throughout the society.
The concept of machine learning was first born in science fiction, and its new features were quickly discovered and applied, but with the inevitable limitations.
Alibaba held its first Alibaba Technology Forum in Singapore at the National University of Singapore, bringing together artificial intelligence (AI) and computer engineering to explore the future of technology and its role in the digital economy.
In the past, we were driven by experience. We are now focusing on driving with data. Today is because data gives a lot of possibilities for artificial intelligence, so AI is alive.
Machine learning technology is gradually infiltrating into all walks of life. Computer vision, natural language processing, robotics and other fields have basically been monopolized by machine learning algorithms and are gradually expanding into traditional industries such as education, banking, and medical.
While Amazon’s Alexa and Apple’s Siri are fighting in the household, Chinese e-commerce giant Alibaba wants to grow the footprint of its smart speakers.
In recent years, big data has changed from the popular words and concepts unique to large companies to the driving force behind the development of our digital life. The following are five trends in the processing and development of big data in the future.