Music genre classification is one example of content-based analysis of music signals. Traditionally, human-engineered features were used to automatize this task and 61% accuracy has been achieved in the 10-genre classification. However, it's still below the 70% accuracy that humans could achieve in the same task. Here, we propose a new method that combines knowledge of human perception study in music genre classification and the neurophysiology of the auditory system. The method works by training a simple convolutional neural network (CNN) to classify a short segment of the music signal. Then, the genre of a music is determined by splitting it into short segments and then combining CNN's predictions from all short segments. After training, this method achieves human-level (70%) accuracy and the filters learned in the CNN resemble the spectrotemporal receptive field (STRF) in the auditory system.

Netflix's sci-fi adaptations are about to expand beyond the likes of Altered Carbon and Lost in Space. Deadline has learned that Netflix has secured the rights to Life Sentence, a movie take on a Matthew Baker short story about a future where authorities wipe the memories of criminals instead of sending them to prison. Matt Reeves, the director of the two most recent Planet of the Apes movies, is producing the title. It's not known when the movie would premiere, but apparently that's not the big story -- there was reportedly a fierce bidding war. Reeves apparently had to contend with offers from conventional studios like Fox, Universal and Warner as well as Amazon and newcomer Apple.

Have a look at fixed point functional analysis, which in physics is encountered in statistical physics and chaos theory. So far, fixed point analysis within machine learning is used for theoretical analysis of gradient methods (e.g. Non linear analysis and fixed point methods might lead to better descriptions of spatio-temporal invariance that seems to be important for better network models.

There are plenty of papers on the use of machine learning for finance. Most of them end up saying that the results look somehow promising but more work is needed. When I read these papers my thinking is that if it would really work, it will not be published. It will be part of an hedge fund or somebody will be secretly trading and taking the profits. Have you found any solid paper on the use of machine learning for investing? Do you mind sharing it?

We might be tempted to think that artificial intelligence is a 21st-century invention, but to be exact, the technology claims its origin from mythical stories. Although not clearly defined then, humans always thought of creating mechanical beings that would do superhuman tasks, with the idea being prominent with Greek's Pygmalion and Hephaestus myths. In the 1940s, the discovery of a programmable digital computer brought great light to the mythical AI, and the technology got into books. Come 1956, scientists from Dartmouth College embraced artificial intelligence as their major tool for conducting scientific research. Hopes were high with the tech, which resulted in millions of dollars being driven to research.

We might be tempted to think that artificial intelligence is a 21st-century invention, but to be exact, the technology claims its origin from mythical stories.

Price: £89.99Amazon's second-generation Echo is a revamped version of the device that invented the whole category of smart speakers in 2014. The new Echo is smaller, better sounding and better looking, in a choice of fabric or wood finishes. What makes the Echo great is Amazon's virtual assistant, Alexa. A ring of seven microphones in the top listens out for your choice of wake word – the default is simply "Alexa" – before sending what you say to Amazon's servers for interpretation. Alexa can almost always hear you including over music noise as loud as an extractor fan and from pretty far away.

Among the top companies in attendance was General Atomics, a San Diego-based defense contractor known for its Predator drones. The UAE previously purchased some $200 million worth of surveillance-only Predator drones.

Despite efforts to tackle corruption around the world, progress is still frustratingly slow, according to the latest report from Transparency International. Its annual Corruption Perception index reveals some alarming trends. It shows public service corruption is still a huge problem for two-thirds of the world's economies. The report uses a scale of zero to 100 to rank countries: zero is highly corrupt and 100 is very clean. New Zealand comes out on top but with a score of 89.

Another difference is that the V30S will hit the market with all the new artificial intelligence features already announced, but these will also be released on other devices through a software update. So, if you have a V30 in your pocket, do not despair because you can also take advantage of AI very soon.