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Deep Learning For Compliance Checks: What's New? - KDnuggets

#artificialintelligence

Natural Language Processing (NLP) has long played a significant role in the compliance processes for major banks around the world. By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands. All of these areas can benefit from document processing and the use of NLP techniques to get through the process more effectively. Certain verification tasks fall beyond the realm of using traditional, rules-based NLP systems. This is where deep learning can help fill these gaps, providing smoother and more efficient compliance checks. There are several challenges that make the rules-based system more complicated to use when undergoing check routines.


10 Best AI Courses: Beginner to Advanced

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Are you looking for the Best Certification Courses for Artificial Intelligence?. If yes, then your search will end after reading this article. In this article, I will discuss the 10 Best Certification Courses for Artificial Intelligence. So, give your few minutes to this article and find out the Best AI Certification Course for you. Artificial Intelligence is changing our lives.


Roadmap to Master NLP in 2022 NLP

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This article was published as a part of the Data Science Blogathon. A few days ago, I came across a question on "Quora" that boiled down to: "How can I learn Natural Language Processing in just only four months?".


What is Deep Learning?

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What do you achieve with deep learning? Deep learning is a part of our daily life. For example, when you upload a photo to Facebook, deep learning helps by automatically tagging your friends. If you use digital assistants like Siri, Cortana or Alexa, they serve you to the benefit with the help of natural language processing and speech recognition. When you meet with overseas customers on Skype, it translates in real time.


Intel brings more powerful AI training and inference to the data center

ZDNet

Stephanie Condon is a senior staff writer for Red Ventures based in Portland, Oregon, covering business technology for ZDNet. Intel on Tuesday launched the latest generation of its deep learning processors for training and inference, Habana Gaudi2 and Habana Greco, making AI more accessible and valuable for its data center customers. At its Intel Vision event, the chipmaker also shared details about its IPU and GPU portfolios, all aimed business customers. "AI is driving the data center," Eitan Medina, COO of Habana Labs, Intel's data center team focused on AI deep learning processor technologies, said to reporters earlier. But different customers are using different mixes for different applications."


Reduce Speech Transcription Costs by up to 90% with CAI (WP030)

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Conversational artificial intelligence (CAI) uses deep learning (DL), a subset of machine learning (ML), to automate speech recognition, natural language processing and text to speech using machines.


Closing the Gap between Machine Learning and Human Learning

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Humans possess a powerful ability to reason. They understand a question asked by a fellow human-being and provide the most appropriate answer to it. A human brain can do quick mathematics to answer a trivial question like "If I have 10 balls and bought two cans, each having 5 balls, how many balls would I have?" The humans can do commonsense reasoning like "If a driver sees a pedestrian on the crossover, what would he do?" Humans have intelligence in understanding if somebody is cutting a joke and probably get a deeper understanding of what the speaker really wants to say? The question is, can we train the machines to gain this kind of intelligence that we humans possess?


Studying the brain to build AI that processes language as people do

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AI has made impressive strides in recent years, but it's still far from learning language as efficiently as humans. For instance, children learn that "orange" can refer to both a fruit and color from a few examples, but modern AI systems can't do this nearly as efficiently as people. This has led many researchers to wonder: Can studying the human brain help to build AI systems that can learn and reason like people do? Today, Meta AI is announcing a long-term research initiative to better understand how the human brain processes language. In collaboration with neuroimaging center Neurospin (CEA) and INRIA we're comparing how AI language models and the brain respond to the same spoken or written sentences.


A.I. Talks with Animals

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Captive chimpanzees understand English as well as a human 2 year old¹¹ and use signs from Human sign languages⁵. Dolphins jointly coordinate their actions to open containers¹⁴ and perform novel tricks⁹. A parrot can reliably report the number or color of an item¹⁰. And prairie dogs sound the alarm that a tall human wearing white is approaching fast¹²! And if so, can we use A.I. to talk with them?


The basics of artificial intelligence - Dataconomy

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Today, we look at the basics of artificial intelligence, which permeates almost every aspect of our lives. This article will explore the main concepts revolving around artificial intelligence and the answers to frequently asked questions without getting into technical complexities as much as possible. Artificial intelligence (AI) is a field of computer science that focuses on developing smart machines capable of accomplishing tasks that require human intellect. Most people immediately think of Artificial General Intelligence (AGI) when they hear about AI. It can perform anything that a human being can, but it does so far superior. However, the fact is that we are nowhere near to creating one.