Cat filters and rock star sunglasses are just the tip of the iceberg in today's ocean of face-based augmented reality (AR) mobile applications. Such effects are however compute-hungry, and today's users want their novelty images to pop up on their smartphone screens without delay. Luckily for us, Google fully appreciates the need for speed. Google researchers have introduced a new face detection framework called BlazeFace, adapted from the Single Shot Multibox Detector (SSD) framework and optimized for inference on mobile GPUs. The lightweight face detector runs at an impressive speed of 200-1000 FPS on flagship smartphones.

Fior Markets introduced a new title on 2018-2023 Global Artificial Intelligence Market Report (Status and Outlook) from its database.

Does your LinkedIn feed often flood with news on AI or Artificial Intelligence? I see innumerable AI news on LinkedIn. Same is true for the Twitter feed but not for Facebook which contains mostly friendly feeds. In fact AI is omnipresent in almost every tech media news and professional networks. What is the reason behind it?

Does your LinkedIn feed often flood with news on AI or Artificial Intelligence? I see innumerable AI news on LinkedIn. Same is true for the Twitter feed but not for Facebook which contains mostly friendly feeds. In fact AI is omnipresent in almost every tech media news and professional networks. What is the reason behind it?

In his brilliant, provocative 1966 essay, The Prospects of Recording, Glenn Gould proposed elevating – pardon the pun – elevator music from pernicious drone to enriching ear training. In his view, the ubiquitous presence of background sound could subversively train listeners to be sensitive to the building blocks, structural forms and hidden meanings of music, turning the art form into the universal language of the emotions that it was destined to be. In a not-unrelated development, Gould had somewhat recently traded the concert hall for the recording studio, an act echoed by The Beatles' release in 1967 of Sgt. Peppers' Lonely Hearts Club Band, an album conceived and produced in a multi-track recording studio and never meant to be played in concert. And while Gould's dream of a transformative elevator music never quite panned out, it is clear that from the 1940s through the '60s -- from Les Paul and Mary Ford's pioneering use of overdubs in How High the Moon, to the birth of rock and roll with Chuck Berry's "Maybellene" in 1955, and on to Schaeffer, Stockhausen, Gould, The Beatles and many more -- a totally new art form, enabled by magnetic tape recording and processing, was born.

It can't be overstated how fundamentally different this paradigm for music curation is from what you're used to. To compare it to another example from around your time, Spotify's Daily Drive playlist wove audio snippets from news talk shows with personalized music recommendations. I recall the feature was heralded as innovative for combining multiple audio formats into a single interface, but it was still fundamentally limited in how it relied on metadata around past listening activity. In contrast, the music information retrieval (MIR) techniques used in YouNite draw on real-time and forward-looking predictions around both present physiological states and desired future emotional outcomes. Hope this all makes sense?

Wow, educational toys have changed a lot since I was a kid. I remember inserting floppy disks (!) into a computer in order to play classic games like "Number Munchers" and "The Oregon Trail". I learned very quickly that "Dog" was not a day of the week, and that it was very easy to die of wasting diseases in the western US in the 19th century. As the world becomes more and more digitally inclined, parents and teachers alike want toys that teach kids computer-and technology-related skills, both for their future employability and for being a citizen in a society built on 1's and 0's. One emerging trend is toys that teach kids how to write computer programming code. Coding is becoming essential knowledge because the world runs on computers, and computers themselves run on code. As a person with a degree in a STEM field, I had to learn how to code later in life, and it was a miserably long learning curve (even if it's one of my favorite things to do now).

Patterns in health data that get analyzed by A.I. algorithms do not confirm objective truth, Duke experts agreed during a recent briefing on artificial …