As machine learning in finance has been harshly questioned of late, Deutsche Bank, noting the repeated discussions in the media, issues their own take in a 110-page report out September 30. The is that while machine learning can be "very relevant" in finance, "dangerous pitfalls" exist. After defining machine learning – "machine learning is an empirical, algorithmic approach to the problems already tackled by Statistics" – the report explained the nuance. The more the topic is explained the more the strengths and weaknesses in adaptive trading and investment methods are clear. Understanding how an algorithmic approach in investing can, to various degrees, be dependent on category organization.

No one did more to put Los Angeles theater on the map than Gordon Davidson. The founder of the Mark Taper Forum, he was one of the city's cultural founding fathers, a mild-mannered but determined revolutionary who built Center Theatre Group into the prodigious theatrical institution it is today and, even more important, built an audience with an appreciation for serious drama in this town. It is impossible to do justice to the dimensions of such a legacy. Davidson's influence on Los Angeles is twinned in my mind with the architectural landmark just down the street from his old Music Center headquarters -- Walt Disney Concert Hall. The reason is that I believe Davidson, who died Sunday at age 83, has done as much to transform the city's conception of itself as a cultural capital as Frank Gehry's magnificent building.

NVIDIA's (NASDAQ:NVDA) quarterly revenues have been surging at double-digit rates in the last three quarters and, looking at the guidance for the next quarter, it's clear that the company is expecting the growth rate to continue unabated in the near future. One of the key factors that has added fuel to their engines is NVIDIA's new growth drivers: the data center segment and auto segment. In the most recent quarter, NVIDIA's data center unit reported 151 million in sales, a growth of 109.72% The growth in data center revenues is much higher than other segments, and there are several reasons why this growth can, in fact, continue its breakneck pace for several more quarters. NVIDIA's expertise in the GPU segment has given it a range of must-have products for hyperscale data centers.

You can now apply for the November Term of Udacity's Self-Driving Car Engineer Nanodegree! (udacity.com) Has anyone here heard back about the October term yet? I think emails were going to be sent out today. I'd also like to know... plus, you win the handle of the year award LOLz

In recent years Artificial Intelligence (AI) has rapidly gone from an obscure academic research field, to an ever more useful and ubiquitous applied discipline. We increasingly rely on AI for more and more of our everyday tasks, and whole lines of work are being thoroughly transformed by its advances. AI's increasing ubiquity is not making it any easier to understand. AI concepts and techniques are still domain of advanced undergraduate or graduate school level courses. There are a few popular AI books out there, but most of them don't get "under the hood" of how AI actually works. "Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms" is the second volume in the series of short introductions to the general field of modern Artificial Intelligence.

With the rise of drones and steadily increasing density of air-traffic, fears of collisions between both manned and unmanned craft have become far more urgent in recent years. But according to researchers, autopilot systems could learn a trick or two from nature to become much safer. In a new study, researchers in Australia investigated the ways in which pairs of budgerigars avoid collisions when flying head-on, revealing the birds always veer right to prevent a crash. In a new study, researchers in Australia investigated the ways in which pairs of budgerigars avoid collisions when flying head-on, revealing the birds always veer right to prevent a crash. In the study, the researchers observed 102 flights of 10 male budgies - but not one collision occurred.

A lifetime in comedy continues to pay off for Eddie Murphy, who will be honored with the Hollywood Career Achievement Award at the 2016 Hollywood Film Awards in November. Murphy, who was honored in 2015 with the Mark Twain Prize for American Humor, earns his latest accolades for a career that includes years on "Saturday Night Live," blockbuster hits "Shrek," "Coming to America" and "Beverly Hills Cop," as well as an Academy Award-nominated turn as James "Thunder" Early in the 2006 musical "Dreamgirls." "Eddie Murphy has had a spectacular career as a comedian, actor, writer, producer and director, spanning more than 35 years," said Allen Shapiro, CEO of Dick Clark Productions, in a statement released Monday. "We look forward to honoring his extraordinary body of work." Actor and comedian James Corden ("The Late Late Show With James Corden") will host the ceremony held at the Beverly Hilton Hotel in Beverly Hills on Nov. 6.

Trendy brain training computer games may be a waste of time and money, scientists have revealed. They said that while people may get better at the exercise they practise, there is little or no evidence this helps them in their day to day lives. Numerous companies make packages of games, puzzles and exercises that are designed to improve memory, boost attention span or simply keep the mind sharp into old age. Brain training computer games may be a waste of time and money, scientists said last night. Researchers examined more than 130 studies into brain training.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Deep learning efforts today are run on standard computer hardware using convolutional neural networks. Indeed the approach has proven powerful by pioneers such as Google and Microsoft. In contrast neuromorphic computing, whose spiking neuron architecture more closely mimics human brain function, has generated less enthusiasm in the deep learning community. Now, work by IBM using its TrueNorth chip as a test case may bring deep learning to neuromorphic architectures. Writing in the Proceedings of the National Academy of Science (PNAS) in August (Convolutional networks for fast, energy-efficient neuromorphic computing), researchers from IBM Research report, "[We] demonstrate that neuromorphic computing, despite its novel architectural primitives, can implement deep convolution networks that approach state-of-the-art classification accuracy across eight standard datasets encompassing vision and speech, perform inference while preserving the hardware's underlying energy-efficiency and high throughput."