Examples of using Machine-learning in English and their translations into Vietnamese
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It's also becoming a favorite in the AI and machine-learning fields.
Mental health diagnosis is also being supplemented by machine-learning tools, which automatically expand their capabilities based on experience and new data.
Control applications can be either rule-based or machine-learning based.
He predicts machine-learning will represent a fundamental change in how humans exist in the world, similar to the dawn of agriculture or the industrial revolution.
The higher-level Layers API is used to build machine-learning models on top of Core.
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Despite all the strides, in the mid-1990s neural nets fell into disfavor again, eclipsed by what were, given the computational power of the times,more effective machine-learning tools.
A new researcheffort by an international team of scientists reveals that machine-learning algorithms can be a powerful tool for medicine.
Cloud-based, machine-learning services are constantly evolving, and at the start of 2018, Amazon revealed a host of new AWS offerings designed to streamline the process of training up machine-learning models.
It's no surprise that as a search company,Google was always at the forefront of hiring machine-learning researchers.
Instead it has only one-the rest of its security is run by machine-learning algorithms that monitor feeds from over 1,200 of the company's devices.
Machine-learning and other data analysis tools not only bring speed to the intelligence process, she said, but the sheer quantity of available information would be nearly impossible for humans to sort through without technological assistance.
When you clicked on Joe's picture,or searched for“Joe B-” in your search bar, the machine-learning algorithm picked up on it.
These cloud platformsare even simplifying the creation of custom machine-learning models, with Google recently revealing a service that automates the creation of AI models, called Cloud AutoML.
Instead, an effective channel might be social media ads, like those offered by Facebook and Instagram,which employ machine-learning algorithms to find and engage ideal customers.
Some random HR person from Google emailed me, most likely because some machine-learning algorithm emailed me; most likely because some machine-learning algorithm analyzed my GitHub and saw that I had some high score in the international Olympiad.
Other researchers should be able to follow the same formula, creating parts under different conditions, collecting video, and scanning them with a height map to generateinformation that could be used with standard machine-learning techniques.
Co-founder Jianmin Sim, 29, has all the hallmarks of the young entrepreneur-a former machine-learning researcher with a Masters in engineering from Oxford University.
And since the developers only program the machine-learning algorithm, they themselves don't understand how the final algorithm works, and as a result, have even more difficulty predicting how it will behave than in the case of traditional programs.
Sources have indicated that the project at Facebook will be connected to McGill University's Centre for Intelligent Machines and to the Montreal Institute for Learning Algorithms,started by University of Montreal professor and machine-learning pioneer Yoshua Bengio.
In open sourcing its TensorFlow AI engine,Google can feed all sorts of machine-learning research outside the company, and in many ways, this research will feed back into Google.
Another application, called Kara, a collaboration with Dr. Robert Chang at the Stanford University School of Medicine, gives eye patients the option to share retina scans andother medical data with researchers who use the data to train machine-learning models to recognize disease.
At the time,Microsoft was just beginning to improve Bing using machine-learning algorithms(neural networks are a type of machine learning) that could improve search results by analyzing the way people used the service.
Co-author David Lobell of Stanford University adds,“We also compared the predictive power of a traditional statistical method with 3 machine-learning algorithms, and machine-learning algorithms outperformed the traditional method in every case.”.
One of the latest Google updates, RankBrain, which is a machine-learning artificial intelligence system and is considered to be the third most important ranking factor, learns the positive and negative signals a user sends while interacting with a web page.
Dable comes in to play a vital role in this relationship byutilizing its world-leading big data processing and machine-learning technology in an endeavor to provide content discovery service for all countries, companies and individuals without technological boundaries.
To program a robot to play Jenga, traditional machine-learning schemes might require capturing everything that could possibly happen between a block, the robot, and the tower- an expensive computational task requiring data from thousands if not tens of thousands of block-extraction attempts.
The UC Davis researchers examined all the published data on wildlifespecies tested positive for flaviviruses by establishing a machine-learning model that processed about 10,400 avian and 5,400 mammal species to figure out the most likely species to host viruses.
Over the past ten years, deep learning-a method that uses layered machine-learning algorithms to extract structured information from massive data sets- has driven almost unthinkable progress in AI and the tech industry.
In a study published Wednesday in the journal Science Advances,researchers describe how they used a machine-learning system to analyze the brain activity of 30 surgeons wearing electroencephalography(EEG) caps as they carried out simulated surgeries.
Big data is a goldmine for businesses,and it has been a primary driver for AI advancements, as machine-learning technologies can collect and organise massive amounts of information to make predictions and insights that are far beyond the capabilities of manual processing.