Deep learning is not a beginner-friendly subject, even for experienced software engineers and data scientists.
Source: Topbots
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The collaboration will support research into using natural language processing in business communications.
Source: Destination CRM3156
Ask consumers what they think about artificial intelligence (AI) penetrating their day-to-day lives, and you'll likely hear mixed emotions.
Source: Mediapost1782
As the use of artificial intelligence among various industries becomes ubiquitous, some companies have ramped up their hiring since the software has automated tedious processes and eliminated human errors.
Source: TheStreet2805
Wolfram Research, Inc., creator of Mathematica, Wolfram|Alpha and the Wolfram Language, announces the integration of Wolfram technology with SolveBio, the operating system for precision medicine that enables biotech and pharmaceutical companies to leverage molecular information for therapeutic development.
Source: PR Newswire7995
Natural Language Processing NLP Market report provides key statistics and in-depth knowledge available on the market status of the Natural Language Processing NLP Manufacturers and is a valuable supply of guidance and direction for companies and individuals enthusiastic about the Natural Language Processing NLP Industry across the globe.
Source: Satprnews3333
Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.
Source: Kdnuggets3477
China's search giant Baidu has made another acquisition to continue its push into artificial intelligence, and specifically to help it carve out a place for itself as a platform for developers who want to create chatbots and other services based on natural language technology.
Source: TC2739
From Alexa and Siri to countless chatbots and automated customer support lines, computers are gradually learning to talk. The only trouble is they are still very easily confused.
Source: Technologyreview3057
New Invoca capability promises language pattern recognition based on the entire call vs. keyword spotting.
Source: Martechtoday1965
A recent report on artificial intelligence predicts the industry will be worth $14 billion by 2023, a huge increase from the $525 million it was worth in 2015. AI tech is already being implemented across a wide range of industries and services and is one of the fastest growing technologies in the world.
Source: Futurism2085
Machine learning is a buzzword in the technology world right now, and for good reason: It represents a major step forward in how computers can learn.
Source: Forbes31785
If you go to GitHub, the most popular developer platform today, and search for a piece of code, it is a plain-text search.
Source: The New stack3171
Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems.
Source: Toptal6177
Since its discovery over a hundred years ago, the 240-page Voynich manuscript, filled with seemingly coded language and inscrutable illustrations, of has confounded linguists and cryptographers. Using artificial intelligence, Canadian researchers have taken a huge step forward in unraveling the document's hidden meaning.
Source: Gizmodo3714
Coders and job aspirants alike are making a beeline to data science training shops in Bengaluru and Hyderabad, and to open online courses, in the hopes of updating their skills and landing jobs with comfortable salaries. But is the training enough?
Source: Livemint1647
This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.
Source: Kdnugget6153
Artificial Intelligence (AI) is in everything. To be clear, AI has now become a part of the way every layer and thread of the total IT fabric is being engineered. At the 'chipset' processor level, we find AI being used to aid hardware engineering. Upwards from the motherboard we also now find AI being used perhaps more obviously in our software applications. Upwards further still, we can now look to network management as a higher level area for AI to applied to our IT structures.
Source: Forbes1593
With every progression in artificial intelligence (AI) and automation, the impending fear of total human spare tends to grow. There are genuine forecasts for a jobless future, where AI-driven machines are capable of doing everything humans can, and on the other end of the spectrum, beached arguments for why technology will never replace more jobs than it creates.
Source: HOB633
Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.
Source: HOB6378
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