biomimic

Many things can be learned from what's inside Google, Apple, IBM patents. Learn from what inside patents. It's a great way to spark ideas as opposed to going in blind.

Of course we do. It's also a must. It's a requirement for any progress related to space travel and in relation to populating other planets. It's amazing that this is and still is, a question. The real question here is - does life have meaning or not?

Very true. Most of it has to do with coding that involves prediction, statistical analysis, vector similarity and other experimental techniques that involve approaches outside the box of formal methods encapsulated in off-the-shelf libraries.

There are two options: A) Live B) Die

Choose your poison, however, living long enough to fight for a chance to change, defeat or restructure that poison, in whatever form it comes, is what I choose. Choice B) does not give you that option unless it's your understanding that:

C) There is another option

D) Choice A) will someday positively impact the reanimation of those who've selected Choice B).

Choose wisely.

Giving up is not an option.

I've been giving this some thought and have some ideas on a few directions we can go in. For example, cognitive biomimicry/AI can be trained to predict certain things like answering "What is the capitol of Austria?"

With statistical inference and probability, a system can provide a number of answers to questions. A crowdsourcing component can be used to rate the answers the system provides thereby allowing the system to learn via feedback loops.

Apply this to Life Sciences, molecular biology, genomics/proteomics and we may have a system intelligent enough to produce new hypothesis in the area of life extension research or a system intelligent enough to combine two pieces of knowledge to come up with something new, a discovery or series of discoveries.

I have some other ideas too, look me up at biomimic@gmail.com if you want to collaborate on these.

See:

https://www.youtube.com/watch?v=V48M5j-6zdE

and

https://www.youtube.com/watch?v=jbYgza4NNk8

To name some of the top roadblocks:

- Cellular garbage collection

- Inner-workings of Mitochondria and cell death/apoptosis at the wrong time.

- DNA repair genes

- Telomerase production/use

Analyzing genomic pathways associated to these is key. Understanding why the expression of genes varies or decreases/increases at the wrong time is also key.

Being able to use Cogntive computing/biomicry/AI/Machine Learning etc to analyze the hidden connections and relationships between phytochemicals, genes, proteins, pathways and environment is the next frontier.

We're working on it and could certainly use additional crowdsourcing approaches.

http://calicolabs.com

http://humanlongevity.com

http://genopharmix.com

http://sens.org

http://buckinstitute.org

How about including this context-controllable content summarizer: http://genopharmix.com/TuataraSum

Wider scope.

Thanks and I agree that historical performance metrics would be a great indication of returns.

What I'd like to do would be to create a system that processes 5 years worth of historical data, gathers all symbols that have had spikes up or down by 10-75%, have good volume and liquidity and are affected by either news or an earnings report. I could then auto-construct the baskets that surround each issue and calculate returns on the long side or short side.

I like this system because it executes on 4 critical levels:

1. Works in a good market or in a bad market due to short and long positioning that can be taken whereas most trading systems (and Technical Analysis) only really work in good markets.

2. You don't have to be late in terms of buying into (or shorting) the direct issue. You buy into or short the indirect issues, which enable protection and diversification.

3. Nobody really is doing this today.

4. It's based on information arbitrage and hidden connections, not numbers.

http://www.cymetica.com/recommend/app/hidden_connections?que...

Yes, I can discuss the underlying technology. Much of it is based on building large vectors similar to word2vec but much more exhaustive in terms of rich, scored and ranked vectors. Comparing vectors for similarity is almost as important as how one constructs the vectors in vector space. Mimicking the way a human might manually construct a vector remains key.

Relying on vector similarity as opposed to direct keyword matches is an approach that's taken. Utilizing statistical and probabilistic approaches as opposed to "words and rules" remains important.

See: http://cymetica.com/cymetica_about.html

and the following: http://genopharmix.com/biomimetic-cognition/in_silico_cognit...

The corpus is currently just limited Reuters public company profiles & descriptions but I plan to include SEC filings as well.

Traders, investors, hedge funds can engage is quick information arbitrage with it. For example, a stock runs up 20% in minute, you insert a keyword or the symbol related to the stock that ran up, you then get other stocks (a targeted basket) that have sympathetic, symbiotic and parasitic relationships before any research analyst can uncover the connections - rising tide lifts all boats or a lowering tide lowers them. Ref: "Contagious Speculation and a Cure for Cancer: A Non-Event that Made Stock Prices Soar" -http://www0.gsb.columbia.edu/whoswho/getpub.cfm?pub=1555

The system can include tiered consumer/trader/investor subscriptions, licensing and net profit sharing with selected hedge funds. SeekingAlpha, StockTwits, Yahoo Finance etc as revenue partners. We're raising a bit of funding in the meantime while we also use it as a trading tool ourselves.

It's a prototype that's being moved into production this week or next.

Yawn.

Show me how you back test for manipulation I'd love to incorporate that into my system!

Don't forget to read that paper above by Gur Huberman. Good starting point.

More slopppy+---adsf language for you...:::

How Brokers Can Avoid A Market-Maker's Tricks http://www.investopedia.com/articles/financialcareers/06/mma... lets incorporate this too.

I also agree that TA and back testing applied to long positioning workw great in bull market!

Should be done by tomorrow!

When trading real money in a real market, predictions based on historical data go out the window.

Historical data will never be able to truly simulate manipulation or sympathetic, symbiotic or parasitic relationships. Ever back-test a trading system that simulates a Market Maker letting low block go under the bid or dialing down the sensitivity of the bid vs. the ask? Speaking from experience.

That's why I'm developing an algorithmic trading system based on sympathetic, symbiotic and parasitic hidden connections.

Also Ref: Contagious Speculation and a Cure for Cancer: A Non-Event that Made Stock Prices Soar - http://www0.gsb.columbia.edu/whoswho/getpub.cfm?pub=1555

SEEKING WORK & SEEKING FREELANCER

Location: San Francisco, CA Remote: Yes

Technologies: Data Science, Artificial Intelligence, Cognitive Computing, Machine Learning, Predictive Analytics, Partnership & Business Development, Sales & Marketing, Software Engineering, Algorithm Optimization and development. Working on data classification and pattern matching algorithms. Initial work involves an advanced context-controllable content summarization systems including - http://genopharmix.com/TuataraSum/index-156.html - http://genopharmix.com and http://www.genopharmix.com/TuataraSum/medium/medium_summary_.... - additional applications in Finance, Trading/Investing, Recommendation Systems and related.

Resume/CV: http://genopharmix.com/TuataraSum/index-156.html

Email: genopharmix@gmail.com

This is actually fairly hilarious.

Location: San Francisco, CA

Remote: Yes

Willing to relocate: Yes

Technologies: Data Science, Artificial Intelligence, Cognitive Computing, Machine Learning, Predictive Analytics, Partnership & Business Development, Sales & Marketing, Software Engineering, Algorithm Optimization and development. Working on data classification and pattern matching algorithms. Initial work involves an advanced context-controllable content summarization systems including - http://genopharmix.com/TuataraSum/index-156.html http://genopharmix.com and http://www.genopharmix.com/TuataraSum/medium/medium_summary_... - additional applications in Finance, Trading/Investing, Recommendation Systems and related.

Resume/CV: http://genopharmix.com/TuataraSum/index-156.html

Email: genopharmix@gmail.com

GenoPharmix - San Francisco Bay Area - Customized solutions for advanced Data Science, Artificial Intelligence, Cognitive Computing, Machine Learning and Predictive Analytics

Openings include:

- Partnership & Business Development - Sales & Marketing - Software Engineering - Algorithm Optimization

FTE, Contractors, Consultants, Interns, Remote and any with English or any foreign language of any kind.

We are working on data classification and pattern matching algorithms.

Our initial work involves an advanced context-controllable content summarization system:

http://genopharmix.com/TuataraSum/index-155.html

Contact: genopharmix@gmail.com

Thank You!

Tcl is perfect for rapid application development and proof of concept algorithm innovations. Used it to develop search engines, pattern matchers and other analytics related to text mining and knowledge discovery. The R&D100 award was won with it too in addition to the development of a few machine learning methods with Michael I. Jordan and David Blei: "Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span" - Blei DM1, Franks K, Jordan MI, Mian IS. - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868 - . http://newscenter.lbl.gov/news-releases/2008/07/09/berkeley-... Hey, everything's a string!

In your experience, besides efficiency, speed, stability, scalability, robustness and the like, what is the effect on true innovation or doing something groundbreaking?

Time slows down today.

Cognitive Computing researcher here.

This system utilizes vector space and is based on a development at Lawrence Berkeley National Laboratory:

https://www.kaggle.com/c/word2vec-nlp-tutorial/forums/t/1234...

http://genopharmix.com/biomimetic-cognition/in_silico_cognit...

It's designed to mimic the process of human cognition aka AI.

It's fairly sophisticated as shown by its results.

Nice work on behalf of David Blei.

Also refer to the movie "Computer Chess" http://en.wikipedia.org/wiki/Computer_Chess_%28film%29

Can I place a sponsored link there?

I thought it was the other way around http://www.nbc.com/saturday-night-live/video/old-glory-insur...

Lamest attempt yet, in the history of humankind, at a Trojan Horse.