Most Innovative Companies 2018: Innovators Go All In on Digital BCG’s annual ranking of the most innovative companies is based on a survey of senior executives who represent a wide variety of industries in every region worldwide and on an analysis of select financial metrics. Before 2008, these rankings were based on a single criterion—respondents’ picks. That year, we expanded the scope and assessed three financial measures over a three-year period: total shareholder return (TSR), revenue growth, and margin growth. TSR reflected stock price appreciation and dividends. Respondents’ votes determined 80% of the ranking, TSR accounted for 10%, revenue growth determined 5%, and margin growth accounted for 5%.
Twenty years on from Deep Blue vs Kasparov: how a chess match started the big data revolution On the seventh move of the crucial deciding game, black made what some now consider to have been a critical error. When black mixed up the moves for the Caro-Kann defence, white took advantage and created a new attack by sacrificing a knight. In just 11 more moves, white had built a position so strong that black had no option but to concede defeat. The loser reacted with a cry of foul play – one of the most strident accusations of cheating ever made in a tournament, which ignited an international conspiracy theory that is still questioned 20 years later.
Understanding LSTM Networks Posted on August 27, 2015 Recurrent Neural Networks Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. The Five Steps of a Breast Self-Exam Step 4: Next, feel your breasts while lying down, using your right hand to feel your left breast and then your left hand to feel your right breast. Use a firm, smooth touch with the first few finger pads of your hand, keeping the fingers flat and together. Use a circular motion, about the size of a quarter. DARPA Is Planning to Hack the Human Brain to Let Us "Upload" Skills In Brief The DARPA Targeted Neuroplasticity Training (TNT) program is exploring ways to speed up skill acquisition by activating synaptic plasticity. If the program succeeds, downloadable learning that happens in a flash may be the result. Mindhack For Faster Learning In March 2016, DARPA — the U.S. military’s “mad science” branch — announced their Targeted Neuroplasticity Training (TNT) program.
Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs – WildML Recurrent Neural Networks (RNNs) are popular models that have shown great promise in many NLP tasks. But despite their recent popularity I’ve only found a limited number of resources that throughly explain how RNNs work, and how to implement them. That’s what this tutorial is about. It’s a multi-part series in which I’m planning to cover the following: As part of the tutorial we will implement a recurrent neural network based language model. The applications of language models are two-fold: First, it allows us to score arbitrary sentences based on how likely they are to occur in the real world.
Syria: The story of the conflict Image copyright Getty Images More than 250,000 Syrians have lost their lives in four-and-a-half years of armed conflict, which began with anti-government protests before escalating into a full-scale civil war. More than 11 million others have been forced from their homes as forces loyal to President Bashar al-Assad and those opposed to his rule battle each other - as well as jihadist militants from so-called Islamic State. This is the story of the civil war so far, in eight short chapters.
Google’s New AI Is Better at Creating AI Than the Company’s Engineers In Brief At its I/O '17 conference this week, Google shared details of its AutoML project, an artificial intelligence that can assist in the creation of other AIs. By automating some of the complicated process, AutoML could make machine learning more accessible to non-experts. The Unreasonable Effectiveness of Recurrent Neural Networks There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning. Within a few dozen minutes of training my first baby model (with rather arbitrarily-chosen hyperparameters) started to generate very nice looking descriptions of images that were on the edge of making sense. Sometimes the ratio of how simple your model is to the quality of the results you get out of it blows past your expectations, and this was one of those times.
10 simple points to help you understand the Syria conflict THIS is a complicated war. This is a messy, cruel war where neither side has much regard for civilian casualties. This war is not black-and-white.