Natural Language Processing Archives

Natural Language Processing-Based Quantification of the Mental State of Psychiatric Patients

Psychiatric practice routinely uses semistructured and/or unstructured free text to record the behavior and mental state of patients. Many of these data are unstructured, lack standardization, and are difficult to use for analysis. Thus, it is difficult to quantitatively analyze a patient’s illness trajectory over time and his or her responsiveness to treatment, and it is also difficult to compare different patients quantitatively. In this article, experts in the field of psychiatry, along with machine learning models, have …

The adoption of Machine Learning in data driven SaaS products

1 week ago4 days ago V2STech Solutions

SaaS solutions have been gaining popularity over recent years to the point where most software products are using SaaS based model. SaaS has been widely accepted by industry as it requires little to no installation, software can be instantly dispatched via cloud and cloud computing offers flexibility in computing power and resources.

Is Hardware the Key to Advancing Natural Language Processing?

1 week ago5 days ago Antonio Anzaldua Jr.

Researchers at MIT have created an algorithm-based architecture called SpAtten that reduces attention computation and memory access in natural language processing (NLP) systems. If we think it’s hard to learn a new language, imagine the challenges hardware and software engineers face when using CPUs and GPUs to process extensive language data. Natural language processing (NLP) attempts to bridge this gap between language and computing.

What is Artificial Intelligence? How does AI work, types and the future of it?

2 weeks ago2 weeks ago Vaishali Advani

The intelligence demonstrated by machines is known as Artificial Intelligence. Artificial Intelligence has grown to be very popular in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life.

Vivun raises $35 million to advance presales engineering platform

2 weeks ago2 weeks ago Michael Vizard

Vivun provides a software-as-a-service (SaaS) platform dubbed Hero that automates the management of presales processes. Today the company revealed it has garnered $35 million in additional funding via a series B round led by Menlo Ventures. While customer relationship management (CRM) software is widely employed to manage sales processes, applications optimized for presales teams — made up of engineers who often have more insights into which deals are likely to close than other members of the sales team — are not widely deployed, Vivun cofounder and CEO Matt Darrow said.

Everything you need to know about Google BERT

3 weeks ago4 days ago Packt

If you’ve been following developments in deep learning and natural language processing (NLP) over the past few years then you’ve probably heard of something called BERT; and if you haven’t, just know that techniques owing something to BERT will likely play an increasing part in all our digital lives. BERT is a state-of-the-art embedding model published by Google, and it represents a breakthrough in the field of NLP by providing excellent results on many NLP tasks, including question answering, text generation, sentence classification, and more.

IBM’s AI learns to navigate around a virtual home using common sense

3 weeks ago3 weeks ago Keerthiram Murugesan

You know a shirt belongs in a wardrobe. I know a shirt belongs in a wardrobe. Does an AI know that? Typically, not. But it can learn by interacting with the world around it. We wanted to boost this technique, known as Reinforcement Learning, by injecting common sense into an AI model — and helping it to learn faster.

No. You still cannot have a Real Conversation with a Chatbot

4 weeks ago4 weeks ago Steve Shwartz

Sure, we can ask Siri or Alexa to answer a question or perform an action for us. But Siri and Alexa can only respond to pre-programmed questions and commands.
They do not really understand what you are saying and you cannot have a real conversation with a personal assistant like you can with another person.

OpenAI Extends GPT-3 to combine NLP with Images

2 months ago4 weeks ago George Leopold

A pair of neural networks unleashed by GPT-3 developer OpenAI use text in the form of image captions as a way of generating images, a predictive approach that developers said will help AI systems better understand language by providing context for deciphering the meaning of words, phrases and sentences.

Sentiment Analysis for better Stock Market prediction

2 months ago2 months ago Rofina Thomas, Pye Staff

Sentiment analysis is a measure by which the stock market’s mood is analyzed to predict a stock price. Discover how we can use AI for sentiment analysis.

Former NHS surgeon creates AI ‘virtual patient’ for remote training

3 months ago3 months ago Ryan Daws

A former NHS surgeon has created an AI-powered “virtual patient” which helps to keep skills sharp during a time when most in-person training is on hold. Dr Alex Young is a trained orthopaedic and trauma surgeon who founded Virti and set out to use emerging technologies to provide immersive training for both new healthcare professionals… Read more »
The post Former NHS surgeon creates AI ‘virtual patient’ for remote training appeared first on AI News.

Papercup raises $10.5 million to dub videos with AI-generated speech

3 months ago3 months ago Kyle Wiggers

Papercup, a U.K.-based startup developing speech translation technology for video creators, has raised $10.5 million in venture funding. The company says the funds will be put toward machine learning research and expanding its human-in-the-loop quality control feature for customers’ AI-translated videos.

NeurIPS 2020: Key research papers in Natural Language Processing (NLP) & Conversational AI

3 months ago3 months ago Kate Koidan

NeurIPS is the largest machine learning conference held every December. It brings together researchers in computational neuroscience, reinforcement learning, deep learning, and their applications such as computer vision, fairness and transparency, natural language processing, robotics, and more. Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas.

High Performance Natural Language Processing – tutorial slides on “High Perf NLP” are really impressive

3 months ago2 months ago Bhumit Adivarekar

Tutorial, video and presentation slides on fundamentals, core techniques and efficient attention. Details uses cases and scaling in practice. Amazing set of diagrams.

Verbit raises $60 million to improve enterprise-focused transcription software

3 months ago2 months ago Kyle Wiggers

Verbit today announced the close of a $60 million series C round ($10 million of which is debt) that the company says will bolster its product R&D efforts. Verbit CEO Tom Livne, speaking to VentureBeat via email, said the infusion will also lay the groundwork for merger and acquisition opportunities as Verbit pursues new verticals, increases the number of languages its platform supports, and hires employees to expand its international reach.

GPT-3 & Beyond: 10 NLP Research Papers you should read

3 months ago3 months ago Mariya Yao

NLP research advances in 2020 are still dominated by large pre-trained language models, and specifically transformers. There were many interesting updates introduced this year that have made transformer architecture more efficient and applicable to long documents.

Ushur raises $25 million to automate customer service workflows

4 months ago3 months ago Kyle Wiggers

Ushur, a startup developing conversational AI and workflow automation solutions for businesses, raised $25 million.

Google says its Parallel Tacotron model generates synthetic voices 13 times faster than its predecessor

4 months ago4 months ago Kyle Wiggers

In December 2016, Google released Tacotron 2, a machine learning text-to-speech (TTS) system that generates natural-sounding speech from raw transcripts. In a new paper, researchers at the search giant claim to have addressed this limitation with what they call Parallel Tacotron, a model that’s highly parallelized during training and inference to enable efficient voice generation on less-powerful hardware.

Introductory guide to Automatic Language Translation in Python

5 months ago5 months ago Kalebu Jordan

Today, I’m going to share with you guys how to automatically perform **language translation** in Python programming.

Data augmentation in NLP

5 months ago5 months ago Owais Raza

Data Augmentation is an important step in the evolution of raw data into a practical and useable form for supervised learning. We review an example use case for the application of this technique.

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