How Artificial Intelligence is changing the ATS world

The rising interest in applicant tracking systems should not come as a surprise. Our research has shown that the majority of modern-day companies do not, in fact, use ATS solutions for their recruitment needs. But this rise in interest has changed the landscape in recent years. 

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Escooter startup Voi uses AI to detect pedestrians and sidewalks

European electric scooter startup Voi is turning to artificial intelligence (AI) to enable its vehicles to detect pedestrians and sidewalks, a move designed to ingratiate itself to municipalities worried about chaotic micromobility schemes.

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Google’s AI lets users search language-agnostic knowledge bases in their native tongue

Entity linking fulfills a key role in grounded language understanding. Given a text mention of an entity (e.g., the word “helpful”), an algorithm identifies the entity’s corresponding entry in a knowledge base (such as a Wikipedia article). To extend its usefulness, researchers at Google propose a new technique where language-specific mentions resolve to a language-agnostic knowledge base.

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AI research finds a ‘compute divide’ concentrates power and accelerates inequality in the era of deep learning

AI researchers from Virginia Tech and Western University have concluded that an unequal distribution of compute power in academia is furthering inequality in the era of deep learning. They also point to the impact on academia of people leaving prestigious universities for high-paying industry jobs.

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Google’s SoundFilter AI separates any sound or voice from mixed-audio recordings

Researchers at Google claim to have developed a machine learning model that can separate a sound source from noisy, single-channel audio based on only a short sample of the target source. In a paper, they say their SoundFilter system can be tuned to filter arbitrary sound sources, even those it hasn’t seen during training.
The researchers believe a noise-eliminating system like SoundFilter…

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Amazon’s new Alexa feature uses AI to infer what users really want

Amazon today announced a new Alexa feature for U.S.-based English-language users that enables devices powered by the assistant to infer latent goals, or goals implicit in requests but not directly expressed. For instance, if a user says “How long does it take to steep tea?,” Alexa might follow up with “Five minutes is a good place to start” and the question “Would you like me to set a timer for five minutes?”

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AI/ML Applications in Law and Compliance

Some industries are a clear slam-dunk for AI/ML applications and some less so. The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category. This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow.

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MIT: Building the algorithm commons: Who discovered the algorithms that underpin computing in the modern enterprise?

Analyzing this “Algorithm Commons” reveals that the United States has been the largest contributor to algorithm progress, with universities and large private labs (e.g., IBM) leading the way, but that U.S. leadership has faded in recent decades.

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Artificial Intelligence and the post-COVID-19 World

Back in 2002, the SARS outbreak caused an unprecedented demand for online shopping, which concomitantly brought e-commerce giant Alibaba Group to the forefront. The Great Recession of 2008 directed brands such as Starbucks and American Express to opt into digital operating models that not only helped them thrive through the crisis but gain greater shareholder value as well! pandemic is now dramatically altering consumer behavior on a global scale.

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Facebook Research: Unsupervised translation of programming languages

A transcompiler, also known as source-to-source translator, is a system that converts source code from a high-level programming language (such as C++ or Python) to another. Transcompilers are primarily used for interoperability, and to port codebases written in an obsolete or deprecated language (e.g. COBOL, Python 2) to a modern one. They typically rely on handcrafted rewrite rules, applied to the source code abstract syntax tree.

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Honda gears up to mass-produce level 3 autonomous cars by March 2021

(Reuters) — Japan’s Honda Motor said on Wednesday it will be the world’s first automaker to mass produce sensor-packed level 3 autonomous cars that will allow drivers to let their vehicles navigate congested expressway traffic.
“Honda is planning to launch sales of a Honda Legend (luxury sedan) equipped with the newly approved automated driving equipment [before the end of March 2021],” Honda said in a press release.

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Using AI in workforce learning creates business value, but most don’t see it.

In a report by MIT Sloan Management Review, BCG Gamma, and BCG Henderson Institute, seven out of 10 companies reported minimal or no return on investment (ROI) from their AI initiatives, while nine out of 10 survey respondents agreed that AI represents a business opportunity for their company. How can this gap between ‘perceived’ and ‘realized’ value happen?

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