In an effort to explain to my Italian grandma what machine learning is, I delved deep into the subject and decided to write up an introduction to Machine Learning. The essay will be translated in Italian of course as English is not her forte. You may have probably heard of "Artificial Intelligence", a term that is now part of mass culture thanks to science fiction movies and books. In recent years though, other terms have surfaced such as "Machine Learning" and "Robotics". So what is Artificial Intelligence?

Alien: Covenant's homage to Eisenstein's revolutionary editing techniques used in the filming of Battleship Potemkin, the silent film's scene resulted in an un-precedentedly horrifying and stunning spectacle, charged with political meaning. These same methods were used to film the scene of the pathogen drop, alternating between David's view of the city and the view of the ship from below where the Engineers gathered.

Inspired by how humans summarize long documents, we propose an accurate and fast summarization model that first selects salient sentences and then rewrites them abstractively (i.e., compresses and paraphrases) to generate a concise overall summary. We use a novel sentence-level policy gradient method to bridge the non-differentiable computation between these two neural networks in a hierarchical way, while maintaining language fluency. Empirically, we achieve the new state-of-the-art on all metrics (including human evaluation) on the CNN/Daily Mail dataset, as well as significantly higher abstractiveness scores. Moreover, by first operating at the sentence-level and then the word-level, we enable parallel decoding of our neural generative model that results in substantially faster (10-20x) inference speed as well as 4x faster training convergence than previous long-paragraph encoder-decoder models. We also demonstrate the generalization of our model on the test-only DUC-2002 dataset, where we achieve higher scores than a state-of-the-art model.

Silicon Valley is not a place known for its religiosity, yet a remarkable number of tech leaders and workers have an irrational belief in the Singularity. For those of you not mainlining Reddit, here's the gist of the argument: The "Singularity" is a term for a theoretical event predicted by several mildly famous technologists. In their telling, advancement of computer technology will ultimately lead to a self-improving artificial intelligence. The first self-aware AI will bootstrap itself at such an incredible rate that eventually it will outstrip our capacities to help it--much less understand it. At that point, all bets are off.

I need to solve a task where it is asked to me to provide an error function whose minimization leads to a formulation equivalent to the AdaBoost algorithm. I did not understand exactly this question, I know that in the AdaBoost algorithm at the beginning I train a "weak" learner by minimizing its error function and then I used the weights to compute errors and iterate over the new classifier, this in an iterative way; so what does it mean with this error function to minimize?

If you want an accessible and great overview of machine learning, I can't recommend The Master Algorithm by Pedro Domingos enough. I didn't care to much for Life 3.0, but if you like reading a really smart guy's speculations about the future of our society and the role ai will play, it's an ok read. Really, it depends on what aspect of ai you're interested in (e.g.

White means real and Black means fake. Note that all of the code was written by hand (no ML frameworks used) so there might be some bugs, I especially doubt my GAN implementation (the neural network layers are well tested though). EDIT: I tried using pure SGD (no momentum) with a carefuly picked lr and some lr decay, but it always end up exploding.. https://gfycat.com/SeveralUnfinishedBuck EDIT2: If the lr is too high you see what happens above, and if the lr is too low it converges very slowly but the discriminator still has a lot of work to do.

The UK's Ministry of Defense envisions the future as a world where artificial intelligence (AI) is critical to national defense.