France is using AI to check whether people are wearing masks on public transport

The technology won’t be used to identify and punish individuals

France is integrating new AI tools into security cameras in the Paris metro system to check whether passengers are wearing face masks.

The software, which has already been deployed elsewhere in the country, began a three-month trial in the central Chatelet-Les Halles station of Paris this week, reports Bloomberg. French startup DatakaLab, which created the program, says the goal is not to identify or punish individuals who don’t wear masks, but to generate anonymous statistical data that will help authorities anticipate future outbreaks of COVID-19 …

Small Train : A Deep learning library helps production deployment

A wrapper able to run on both TensorFlow and PyTorch.
A library for adopting the latest algorithms.

– a deep learning library written in Python
– a wrapper capable of running on top of both TensorFlow and PyTorch
– designed to enable fast implementation with deep neural networks
– user-friendly and modular
– a tool for professional engineers

たらこの品質を検査するAI 明太子のやまやとIBMが開発 グレードや異物の有無を判定

たらこの品質を検査するAI 明太子のやまやとIBMが開発 グレードや異物の有無を判定日本アイ・ビー・エム(IBM)は4月27日、辛子明太子の製造・販売を手掛けるやまやコミュニケーションズと、システム開発企業のシグザムと共同で、たらこ製造工程の異物検査やグレードの判定ができるAIを開発したと発表した。たらこの表面から、微生物や繊維などの異物が適切に除去されているか否かを検査し、ベテラン作業員と同等以上の精度で品質を判定するという。



Google’s AutoML Zero lets the machines create algorithms to avoid human bias

Google’s AutoML Zero lets the machines create algorithms to avoid human bias

It looks like Google‘s working on some major upgrades to its autonomous machine learning development language ‘AutoML.’ According to a pre-print research paper authored by several of the big G’s AI researchers, ‘AutoML Zero’ is coming, and it’s bringing evolutionary algorithms with it.

AutoML is a tool from Google that automates the process of developing machine learning algorithms for various tasks. It’s user-friendly, fairly simple to use, and completely open-source. Best of all, Google‘s always updating it …

Every Single Piece of Hardware Amazon Announced Today

More Alexa, anyone?

Amazon’s September hardware event returned this year to bring us spanking-new devices, with Alexa-enabled features front and center, shocking. The event, which Amazon live-blogged but did not stream, kicked off as it did last year with a presentation from David Limp, Amazon’s senior vice president of devices. He teased out some of what’s new from the company and just like last year, Amazon dropped so many product reveals that it’ll make your head spin. Here’s what to know.

Echo Dot
First up, Amazon’s Echo Dot gets a clock. According to CNET, the new Echo Dot with Clock has an LED screen behind the speaker that will display not only the time but alarm times and the temperature when asked. This little guy clocks in (sorry) at $60 and is available for pre-order beginning today. Amazon says if the Dot is used as an alarm clock, users can now tap to snooze as well…

Of Course Citizens Should Be Allowed to Kick Robots

Seen in the wild, robots often appear cute and nonthreatening. This doesn’t mean we shouldn’t be hostile.

Every day for 10 months, Knightscope K5 patrolled the parking garage across the street from the city hall in Hayward, California. An autonomous security robot, it rolled around by itself, taking video and reading license plates. Locals had complained the garage was dangerous, but K5 seemed to be doing a good job restoring safety. Until the night of August 3, when a stranger came up to K5, knocked it down, and kicked it repeatedly, inflicting serious damage.

Robots engender human sympathy. Seen in the wild, they appear to have agency, feelings, and desires. R2D2’s spunk, C3PO’s intelligence, Wall-E’s charm. When delivery bots get stuck on the sidewalk, good Samaritans help them get unstuck. In light of the attack on K5, then, you may be thinking: Poor guy.

Scientists can now manipulate brain cells using smartphone

A team of scientists in Korea and the United States have invented a device that can control neural circuits using a tiny brain implant controlled by a smartphone.

Researchers, publishing in Nature Biomedical Engineering, believe the device can speed up efforts to uncover brain diseases such as Parkinson’s, Alzheimer’s, addiction, depression, and pain.

The device, using Lego-like replaceable drug cartridges and powerful bluetooth low-energy, can target specific neurons of interest using drug and light for prolonged periods.

“The wireless neural device enables chronic chemical and optical neuromodulation that has never been achieved before,” said lead author Raza Qazi, a researcher with the Korea Advanced Institute of Science and Technology (KAIST) and University of Colorado Boulder …





AI Trained on Old Scientific Papers Makes Discoveries Humans Missed

Scientists used machine learning to reveal new scientific knowledge hidden in old research papers.

Using just the language in millions of old scientific papers, a machine learning algorithm was able to make completely new scientific discoveries.

In a study published in Nature on July 3, researchers from the Lawrence Berkeley National Laboratory used an algorithm called Word2Vec sift through scientific papers for connections humans had missed. Their algorithm then spit out predictions for possible thermoelectric materials, which convert heat to energy and are used in many heating and cooling applications …

OpenAI’s MuseNet generates AI music at the push of a button

Lady Gaga’s Poker Face in the style of Mozart? Sure, why not

OpenAI’s MuseNet is a new online tool that uses AI to generate songs with as many as 10 different instruments. Not only that, but it can create music in as many as 15 different styles, imitating classical composers like Mozart, contemporary artists like Lady Gaga, or genres like bluegrass or even video game music. You can give it a short segment of music to get it started or have it start from scratch.

MuseNet works by using a deep neural network that’s been trained on a dataset of MIDI files gathered from a range of online sources that cover jazz, pop, African, Indian, and Arabic styles of music. The researchers behind the project say that the system is able to pay attention to music over long periods of time, meaning it’s able to understand the broad context of a song’s melodies, rather than just how they flow together in a short section. With this data, the system is tasked with predicting the next note in a sequence…