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3 Ways Artificial Intelligence Will Change Healthcare

#artificialintelligence

It's no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced. In healthcare, artificial intelligence (AI) can seem intimidating.


3 Ways Artificial Intelligence Will Change Healthcare

#artificialintelligence

It's no secret that healthcare costs have risen faster than inflation for decades. Some experts estimate that healthcare will account for over 20% of the US GDP by 2025. Meanwhile, doctors are working harder than ever before to treat patients as the U.S. physician shortage continues to grow. Many medical professionals have their schedules packed so tightly that much of the human element which motivated their pursuit of medicine in the first place is reduced. In healthcare, artificial intelligence (AI) can seem intimidating.


Can Surveillance AI Make the Workplace Safe?

#artificialintelligence

As the world recovers from the initial shock wave caused by the COVID-19 pandemic, businesses are preparing for their transitions back to their physical workplaces. In most cases, they are opening up gradually, with an unprecedented focus on keeping workers safe as they return. To protect employees' health and well-being, organizations must systematically reengineer their workspaces. This may include reconfiguring offices, rearranging desks, changing people's shifts to minimize crowding, and allowing people to work remotely long term. Then there are the purely medical measures, such as regular temperature checks, the provision of face masks and other personal protective equipment, and even onsite doctors.


5 reasons why you need explainable AI

#artificialintelligence

The scariest thing about Artificial Intelligence is that we never know who the teacher is! If you're working on a Tech Startup, AI and Machine Learning are likely parts of your roadmap (and if it's not, then it should be). Artificial Intelligence (AI) is all around us. AI is there when you search for something on the Internet. AI helps us filter spam emails.


Eighth grader builds IBM Watson-powered AI chatbot for students making college plans

#artificialintelligence

While her peers reveled in an unprecedented virtual school year, the self-described "technology enthusiast," Harita Suresh, 13, was bored. She decided on an online course and settled on IBM Skills Network's "AI chatbots without programming." She lacked experience with artificial intelligence, but was eager to learn through the self-paced course. Harita is more than a little familiar with tech, "I have been interested in technology since I was 5," she said. "My first coding challenge was the Lightbot Hour of Code. I was fascinated that the code I wrote could control the actions of the characters on screen. Since then, I pursued coding on multiple platforms like code.org, The more I learned about tech, the more I wanted to know. In fifth grade, I took a Python programming course offered by Georgia Tech."


Get over 50 hours of training in machine learning for under £30

Mashable

TL;DR: The Machine Learning Master Class bundle is on sale for £29.85 as of August 4, saving you 91% on list price. Thanks to developing artificial intelligence technologies, computer are smarter than ever before. Along with those technologies has come a relatively new category of computer science called machine learning, or ML. Similar to statistics, ML involves computer systems that utilise algorithms to automatically learn about data, recognise patterns, and make decisions, all without outside intervention or explicit directions from human beings. In the real world, you can find it being used in smart assistants like Siri and the Amazon Echo, in online fraud detection services, in the facial recognition feature that identifies photos of you on Facebook, and more recently, in Tesla's self-driving car.


DeText: A deep NLP framework for intelligent text understanding

#artificialintelligence

Natural language processing (NLP) technologies are widely deployed to process rich natural language text data for search and recommender systems. Achieving high-quality search and recommendation results requires that information, such as user queries and documents, be processed and understood in an efficient and effective manner. In recent years, the rapid development of deep learning models has been proven successful for improving various NLP tasks, indicating the vast potential for further improving the accuracy of search and recommender systems. Deep learning-based NLP technologies like BERT (Bidirectional Encoder Representations from Transformers) have recently made headlines for showing significant improvements in areas such as semantic understanding when contrasted with prior NLP techniques. However, exploiting the power of BERT in search and recommender systems is a non-trivial task, due to the heavy computation cost of BERT models. In this blog post, we will introduce DeText, a state-of-the-art open source NLP framework for text understanding.


Deep Learning In Gaming

#artificialintelligence

Hi All - This event was originally going to be held during GDC week back in March but had to be postponed. Excited to be hosting this event virtually during GDC Summer on Aug 4th. Games have always been at the forefront of AI & they serve as a good testing bed for AI before we put it to use in the real world. Therefore, its natural to look into gaming to peek into new techniques being discovered in AI. What started with self-learning AI in games has now translated into solving real-world problems in computer vision, natural language processing, & self-driving cars.


Building Jarvis, the Generative Chatbot With an Attitude

#artificialintelligence

Carsales.com, the company I work for, is holding a hackathon event. This is an annual event where everyone (tech or non tech) comes together to form a team and build anything -- anything at all. Well, preferably you would build something that has a business purpose, but it is really up to you. This idea for this chatbot actually came from Jason Blackman, our Chief Information Officer at carsales.com. Given that our next hackathon is an online event, thanks to COVID-19, wouldn't it be cool if we could host a Zoom webinar, where any carsales.com After tossing around ideas, I came up with a high-level scope. Jarvis would need to have a visual presence, just as would a human webinar participant. He needs to be able to listen to what you say and respond contextually with a voice.


50 Shades of Text -- Leveraging Natural Language Processing (NLP)

#artificialintelligence

On 21th June 2018 at Buildo, Data Science Milan has organized an event on a fashion topic: Natural Language Processing (NLP). Nowadays we found many applications of NLP, such as machine translation (Google translator), question answering (chatbot), web and application search (Amazon), lexical semantics (Thesaurus), sentiment analysis (Cambridge Analytica), natural language generator (Reddit bot). What is the mean of natural language processing? Natural language processing is a branch of artificial intelligence representing a bridge between humans and computers; it can be broadly defined as the automatic manipulation of natural language, like speech and text, by software. There are many ways to represents words in NLP and you cannot use text data directly on machine learning algorithms.