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Sick of job-hunting hell? This AI gets you hired faster

Popular Science

We've all been to job-search hell, where it feels like Satan is forcing you to hit apply, upload your resume, and then fill out those online forms one by one anyway. Then, it feels like he's poking you in the butt with his pitchfork when it's time to interview. But we found a way to make getting hired feel far less hellish. You might even call it heaven, but we call it Canyon Pro. It's an AI interview coach, resume builder, application form filler, and tracker.


Google has a secret new project that is teaching artificial intelligence to write and fix code. It could reduce the need for human engineers in the future.

#artificialintelligence

Google is working on a secretive project that uses machine learning to train code to write, fix, and update itself. This project is part of a broader push by Google into so-called generative artificial intelligence, which uses algorithms to create images, videos, code, and more. It could have profound implications for the company's future and developers who write code. The project, which began life inside Alphabet's X research unit and was codenamed Pitchfork, moved into Google's Labs group this summer, according to people familiar with the matter. By moving into Google, it signaled its increased importance to leaders.


Recommended Reading: COVID-19 and AI health care

Engadget

The coronavirus pandemic will cause us to rethink major aspects of everyday life around the world, but it may also expedite the use of artificial intelligence in health care. Sinovation Ventures CEO Kai-Fu Lee explains how the revolution has already begun, and how things like diagnosis, drug discovery and even robot delivery will progress due to current global health conditions. Not everyone has the mental capacity to self-isolate for weeks during a pandemic. Some people are just lonely. Others choose to spend time with friends and family while adhering to social distancing guidelines.


Can a Neural Network Write Criticism?

#artificialintelligence

The Final Cut's new album Process was recorded in two places: a cavernous music studio in Berlin, and a Brooklyn dining hall during an immersive culinary experience in which sound was among the items on the menu. "With its swarming, chirping creatures and metallic thuds, it sounds like a cross between a distorted, futuristic version of one of the more patient strains of industrial and drone music," writes a critic for the experimental music magazine Ear Wave Event. Somehow, the anonymous writer claims that the triangulation of Berlin, Brooklyn, and drone music pays homage to Italian culture . Process, if we're to trust the critic, is a messy hodgepodge of instruments, recording processes, and cultural influences. But the Final Cut's album doesn't actually exist.


A Flashy New AI Tool Could Be a Producer's Dream and a Copyright Nightmare

#artificialintelligence

Imagine being able to hear exactly what's under the hood of any piece of recorded music. You upload a file and a few minutes later, a song like "Born to Run" splits apart to reveal its secrets. Each player's mastery is laid bare: There's Bruce Springsteen's isolated vocal take, every murmur and cry heard clearly; Garry Tallent's propulsive bassline; Clarence Clemons' fired-up saxophone solo; and that memorable sprinkling of glockenspiel, courtesy of Danny Federici. Such is the promise of Spleeter, a free, open-source AI tool that was developed and released by the streaming service Deezer late last year. Using a process called source separation, Spleeter splits the audio file of any given song into four new audio "stems," which isolate particular instruments or groups of instruments: vocals, bass, drums, and so on.