While an estimate of the actual energy consumption reduction for SNN mode of operation is outside the scope of this current work, we provide an intuitive insight by providing the number of computations per synaptic operation being performed in the ANN versus the SNN ... The energy consumption reduction for our SNN implementation is expected to be 16.2 for the VGG network and 13.3 for the ResNet in comparison to the original ANN implementation

This is an interesting expository piece, and it seems to me that there are a lot of fundamental barriers that need to be addressed before RL can be successfully applied to trading, the most fundamental one appears to me to be the large number of competing agents in the environment. We're still some ways off success in multiplayer environments with a relatively small number of players and if we succeed there's no guarantee that the strategies may generalize to an environment with orders of magnitude more players operating across a spectrum of timescales. Given the size of the state space, the most likely path for (short-term) success could be a number of RL models each specialized to particular market conditions to be invoked by a human operator. AFAIK (happy to be corrected on this), the big prop shops eschew deep learning in favor of simple logistic-like models on FPGAs because of a) speed, b) (more fundamentally) the fact that the former tend to badly overfit to historical data (IIRC stock prices are martingale-ish? If someone with more experience can chime in, that would be great).

Algerian student Fouzia Adjailia is the first Arab Muslim woman to ever enter the world of robotics, according to Al Arabiya. The young designer has built a robot that can listen, talk, walk and even dance. "Gardenia the robot has the ability to recognize individual persons' voices, speak like a real person, conversate with humans and dance to music - after putting it on by itself - all without the need for a remote control," Fouzia said. Fouzia has managed to grab media attention after building the robot in just under four months. "Building the robot was my university graduation project," explained Fawzieh, who will be graduating with a Master's degree in Wireless Application Protocol and Artificial Intelligence.

The Agung volcano erupts, spewing magma and ash thousands of feet into the air on the island of Bali in Indonesia in November 2017.Josh Edelson/ZUMA This story was originally published by Grist and appears here as part of the Climate Desk collaboration. A trope of sci-fi movies these days, from Snowpiercer to Geostorm, is that our failure to tackle climate change will eventually force us to deploy an arsenal of unproven technologies to save the planet. Think sun-deflecting space mirrors or chemically altered clouds. And because these are sci-fi movies, it's assumed that these grand experiments in geoengineering will go horribly wrong. The fiction, new evidence suggests, may be much closer to reality than we thought.

"We use artificial intelligence to scan the messages your child sends and receives. We alert parents to signs of bullying, sexting, online predators, adult content, depression, suicidal thoughts," explains Ciambriello, noting that alerts are sent to moms and dads via email or text if the system senses a …

Neural networks are amazing, artificially intelligent systems that can be used for some amazing things. They can also be used for some amazingly silly things, which is a more fun use of the technology.

Recently I had my first job interview for a machine learning position. It didn't go well and I was rejected thirty minutes after the interview took place. I talked about some of my projects and how I improved them and issues I faces. But some of the issue didn't seem to be relevant to machine learning for ads. For example, I was detecting lane lines and choosing a good color space for the transform that would detect the lanes under low light, bright light, etc.

Named Entity Recognition is a process where an algorithm takes a string of text (sentence or paragraph) as input and identifies relevant nouns (people, places, and organizations) that are mentioned in that string. In our previous blog, we gave you a glimpse of how our Named Entity Recognition API works under the hood. In this post, we list some scenarios and use cases of Named Entity Recognition technology. News and publishing houses generate large amounts of online content on a daily basis and managing them correctly is very important to get the most use of each article. Named Entity Recognition can automatically scan entire articles and reveal which are the major people, organizations, and places discussed in them.

I've first heard of deepfakes a good week ago. There's something called Deepfakes on internet, and it's the most cyberpunk shit you can imagine. Machine learning used to swap porn actresses faces with hollywood stars. You have been warned) consists of people using an app created by user "deepfakes" to create fake celebrity porn. This has caused a shitstorm on the Internet, media discussing the legality of it all, websites taking down the deepfake creations, and people panicking as they realise AI is going to screw us all up (newsflash: it's already been happening in much less obvious ways).

The UAE Minister of Artificial Intelligence (AI) Omar bin Sultan Al Olama on Saturday announced that the UAE will focus on adopting AI in three lead sectors, including natural resources, tourism and logistics. He said the UAE will "lead the world" with fast-developing technologies in AI-Ready sectors.