KasianFranks

My goodness, when I first started in 2010 I got calls or emails just about every day around 6-7am PST for a year. These guys represent toxic credit lines/loans aka convertible notes/debt or …

What you do if you're the one trying to manipulate the company from the outside and on the short side: A company might have a shareholder that needs a new certificate of stock issued because they…

I owned a small mobile app public co a while ago for a few years. The things I witnessed ran deep and with most listed companies on most exchanges up and down the food chain. The fraud can go many lev…

It kills itself to fast.

Vector space is the place: https://www.google.com/?tbm=pts#tbm=pts&q=%22vector+space%22 I see vector space approaches as the tip of the spear when it comes to advancing NLP/A…

Vector representation of symbols, concepts, terms, image chunks, thoughts or words along with the unique ways to construct the feature attributes for these vectors and calculations for similarity betw…

I personally like context-controllable summarization http://www.lexcognition.com/summarai/

Yes

You do not want to refine something, for the sake of simplicity, to the point where you can no longer easily understand what it's ingredients are. You need to be able to manipulate its ingredient…

That's like expecting the Farmers Market to serve McDonalds hamburgers.

Here's one reason why Google is safe. Explained in one graphic: "In Pursuit of Simplicity" https://blog.codinghorror.com/in-pursuit-of-simplicity/ Another reason t…

The focus on vector space as mentioned in the article "words can be represented as mathematical vectors, allowing similarities between related words to be calculated. For example, “boat” and “wat…

On vector similarity, I'd recommend a custom variant of the uncentered Pearson correlation as it better accounts for a balance between discreet and continuous values with vectors that might vary …

Backpropatation can also be likened to creating feature attributes in a vector which are scored and ranked making for rich continuously valued vectors which can then be compared (or treed) for similar…

There's a ton. Jeff and his team are on a very particular course and have been since 2004. There are some other things happening in the space and it has to do with collection of data and sensory …

Non-linear DNA computing. In addition, getting systems to compute based on words - see: https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/1234... e.g. Austri…

Yes, split brain approaches in general computing are very interesting and I think, over lap some approaches in ai-based computational combined with neuroscientific efforts.