South Koreans must learn how to work alongside machines if they want to thrive in a post-pandemic world where many jobs will be handled by artificial intelligence and robots, according to the country's labor minister. "Automation and AI will change South Korea faster than other countries," Minister of Employment and Labor Lee Jae-kap said in an interview Tuesday. "Not all jobs may be replaced by machines, but it's important to learn ways to work well with machines through training." While people will have to increase their adaptability to work in a fast-changing high-tech environment, policymakers will also need to play their part, Lee said. The government needs to provide support to enable workers to move from one sector of the economy to another in search of employment and find ways to increase the activity of women in the economy, he added.

TL;DR: A lifetime subscription to the EasySplitter Pro Vocal Remover is on sale for £29.12 as of April 14, saving you 93% on list price. Whether you're looking to remix a song and need to separate the vocals from the instrumental track or you want to make a karaoke version of a track, EasySplitter can get the job done quickly and seamlessly. Rather than working with a tool that isolates frequencies and leaves you with a grainy result that doesn't quite work for your project, EasySplitter uses artificial intelligence to accurately extract vocals and split songs into separate STEMs: vocal, instrumental, drums, and bass. With a fast processing speed, you can hear the results through the built-in audio player in a matter of seconds without any audio quality loss. The process only takes a few clicks and the smart UI is easy to get the hang of.

TL;DR: The 2021 Complete Computer Science Training Bundle is on sale for £29.12 as of April 14, saving you 97% on list price. Computer science is always evolving. It's interlaced with all kinds of subjects in our tech-driven world, so more and more industries are requiring these skills -- from programming and business analysis to security and artificial intelligence. In fact, the number of job opportunities for computer science experts is growing faster than in any other occupation. If you're looking to expand the realm of opportunities available to you, it's not a bad idea to get familiar with the basics of computer science.

This article is the first in our innovation flywheel series. Future articles will dive deeper into the mechanics of fully scaling the flywheel approach at the enterprise level, with specific focuses on technological and platform evolution, organization and team design, governance, funding, and change management. The pandemic has put the power of digital on full display. Since February 2020, we've witnessed a full-on global embrace of the digital lifestyle. By some estimates, the percentage of grocery shopping conducted online tripled in 2020, the time spent streaming video entertainment jumped by more than 40%, and videoconferencing skyrocketed by over 110%. We've also seen perhaps the most sudden, sharp, and dramatic behavior shift in history with the near-universal adoption of remote and digital work.

Traditionally, only large investors had the resources to invest in the land and professional services critical to reaping the benefits of mineral rights investing in the oil and gas market. Today, artificial intelligence (AI) technology has opened that potentially lucrative industry to individuals with as little as $300 at https://www.investinbraneinc.com. Brane Inc.'s cutting-edge technology is using AI to mine the reams of inefficiently collected, paper-based data of the oil well creation process to determine future well locations. As a result, investors of this technology may benefit from the potentially profitable mineral rights investing activities in these new locations. Although the oil and gas industry experiences price fluctuations common to the commodities market, mineral rights investing for oil and gas have historically generated positive returns for deep-pocket investors.

Microsoft recently open-sourced ZeRO-3 Offload, an extension of their DeepSpeed AI training library that improves memory efficiency while training very large deep-learning models. ZeRO-3 Offload allows users to train models with up to 40 billion parameters on a single GPU and over 2 trillion parameters on 512 GPUs. The DeepSpeed team provided an overview of the features and benefits of the release in a recent blog post. ZeRO-3 Offload increases the memory efficiency of distributed training for deep-learning models built on the PyTorch framework, providing super-linear scaling across multiple GPUs. By offloading the storage of some data from the GPU to the CPU, larger model sizes per GPU can be trained, enabling model sizes up to 40B parameters on a single GPU.

spaCy is a modern Python library for industrial-strength Natural Language Processing. In this free and interactive online course, you'll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Machine Learning and Deep Learning are concepts that are often overlapping. There can be a slight confusion between the terms, and thus, let us look at Machine learning vs Deep learning, and understand the similarities and differences between the same. Machine learning uses a set of algorithms to analyse and interpret data, learn from it, and based on the learnings, make best possible decisions. On the other hand, Deep learning structures the algorithms into multiple layers in order to create an "artificial neural network". This neural network can learn from the data and make intelligent decisions on its own.

In times of negative interest rates, investors are looking to get out of cash and move to assets that generate returns. Staking could be the answer. Many exchanges provide opportunities to stake tokens and in exchange earn rewards. One can safely earn 5% per annum on a popular digital asset such as ETH. At Modihost we have developed a similar mechanism to staking that rewards buying and holding of AIM tokens.

Cyberattacks continue to grow in prevalence and sophistication. With the ability to disrupt business operations, wipe out critical data, and cause reputational damage, they pose an existential threat to businesses, critical services, and infrastructure. Today's new wave of attacks is outsmarting and outpacing humans, and even starting to incorporate artificial intelligence (AI). What's known as "offensive AI" will enable cybercriminals to direct targeted attacks at unprecedented speed and scale while flying under the radar of traditional, rule-based detection tools. Some of the world's largest and most trusted organizations have already fallen victim to damaging cyberattacks, undermining their ability to safeguard critical data.