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The Hiring Process Is a Pain--These 5 Companies Say A.I. Can Make It Better

#artificialintelligence

Chicago-based A.I. platform VMock operates in two ways: It's both a recruiting platform and an upskilling platform. Its recruiting system is mostly focused on college students and entry-level workers: Candidates upload rรฉsumรฉs to the platform and receive, through A.I. analysis, feedback on their rรฉsumรฉs and LinkedIn profiles, as well as targeted job recommendations. Its upskilling platform is currently in use at more than 250 higher education institutions, and by Q2 of 2022 will be made available to companies to help train and potentially transfer existing employees. In the latter program, the process is similar: The A.I. platform analyzes rรฉsumรฉs to get a better sense of the skills employees already have, and what areas they might be able to better develop.


Artificial Intelligence Projects with Python

#artificialintelligence

The AI industry has expanded massively over the last years and is expected to grow even further. Many of the major corporations employ AI-assisted technicians to solve problems. The median salary of an AI engineer is $150,000 which is up to $171,765 per year. Companies need AI experts who can build and deploy scalable models to meet growing industry demands. There are various AI projects you can do to learn about the library.


Digishock 2.0: Learn Machine Learning in 2021 (No Coding)

#artificialintelligence

Learn the basics of Machine Learning without using code in 2021 ยท Learn to teach a machine with a camera ยท Use an AI platform to build AI Models ... Welcome to experience "Digishock 2.0: Learn Machine Learning in 2021" in a new interactive and engaging way. We all know that Machine learning is the actual application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience. Let us elaborate this further. Machine learning is a subset of artificial intelligence (AI) that allows systems to learn and improve on their own without having to be explicitly programmed. The ever-trending field of machine learning is primarily focused on the development of computer coded programs that can access data and make machines learn themselves to perform mundane tasks autonomously.


A 14-year-old boy devises a computer program to make apps run faster

NPR Technology

The program calculates anti-prime numbers used in everyday software. His discoveries won him top prize in the Broadcom Masters, an engineering competition for middle school kids.


North Korea seeks to boost education with toy-like robots

The Japan Times

Seoul โ€“ A toy-like robot with scowling blue eyes and a North Korean flag across its chest roams around a classroom at a university in Pyongyang in a recent demonstration of tools aimed at helping children learn basic math, music and English. The footage, broadcast by North Korean state television KRT, also showed two other larger plastic robots, each with a vaguely humanoid appearance. North Korean leader Kim Jong Un has been pushing for education reform in recent years by spurring technological and scientific innovation. "I help teach educational technology that enhances children's intelligence," said the 80-centimeter (31.5 inches) tall robot in a female voice, waving its arms. A second robot featured a smiley face on a screen embedded inside a white round head, while another wore a blue plastic suit and white-rimmed glasses, the KRT footage showed.


What are the Potential Uses of Synthetic Speech of AI?

#artificialintelligence

Speech synthesis is a computer-generated production of audible human words. The voices which you hear on hardware products like Google Home, Amazon Echo, GPS, and e-book are quite fast and cheap for many tech companies to create but they are not original and realistic in a true sense. But in the same context, artificial intelligence or AI operates a bit differently. AI voice uses deep learning to create higher-quality synthetic speech that more accurately imitates the pitch, tone, and pace of real human voice. There are many potential advantages of synthetic speech, AI voice has a myriad of use cases let's see a few. Few companies such as Papercup are using AI voice to translate videos by generating voices that sound like the original speaker for translation.


How AI Creates Synthetic Speech

#artificialintelligence

Having machines turn text into speech is nothing new. Professor Stephen Hawking communicated with a computerized voice for many years, and by now, we're used to our GPS devices or smart speakers asking questions and responding to our queries. What is different these days is that the quality of synthesized speech is improving, thanks to several companies using AI to create voice skins for enterprise companies and content creators that give more options for turning text into speech. LOVO, an AI voice and synthetic speech startup company, uses a voiceover API to turn text into speech in real-time using 200 human-like voices in 33 languages using their "voice library." Users also can clone their own voices to create their own skins, simply by reading 15 minutes of a script.



Artificial intelligence: The new face of education

#artificialintelligence

The pandemic actually gave us a whole new perspective on online learning. With the online meets replacing actual classes, both the students and the teachers now understand the working of the online classes very well. But now, with the pandemic on decline, we should not neglect the online mode of learning, instead nurture it with the use of AI.


AI in Education: How Artificial Intelligence in Education Reshaping the Future of Learning

#artificialintelligence

One of the biggest drawbacks of traditional learning methods is providing the same course structure and learning process for every student. Artificial intelligence in education solves this issue by delivering personalized learning experiences. Students get unique learning experiences according to their individual needs and preferences. AI based learning platforms can utilise machine learning to understand a student's pace of learning, knowledge retention capacity, strengths, weaknesses, academic history and gaps in knowledge to form a unique learning process that saves time and delivers effective results simultaneously. AI and machine learning in education also help educators to better understand their students' learning patterns and specific needs to restructure the course according to the student's preferences.