TravisDirks
Joined 14 years ago
Joined 14 years ago
We have decided to sponsor a creative sabbatical for a front end developer or data scientist to come work on our AI startup (= Seldn) for this period. Seldn will sponsor airfare (from the US) and stay in return for their spirited help at Seldn, intellectual company & commitment to enjoying Hawaii/life. That's it -- no catch. We'd be open to opportunities for them to continue working with us after that but no commitment required.
Please pass this opportunity on to the coolest front-end Developers/Data scientists you know! More details:
Creative Sabbatical: Data Scientist/ Developer? Come work on an AI startup in Hawaii
About Us: Seldn is an Artificial Intelligence (AI) that can automatically predict global macro risks. Our core technology uses complexity-physics inspired machine learning algorithms and Big Data to provide a SaaS platform geared toward predicting political, financial and social macro risks – think economic crashes, labor strikes, riots, etc.
Very neat stuff and definitely ambitious. Our first focus is enterprise s/w catered toward supply chain disruptions. We are a very early stage stealth startup, normally based in Palo Alto, CA.
Sabbatical: Seldn is sponsoring a creative sabbatical for a data scientist and a front-end developer to come spend the summer Hawaii working with us on our meaningful world-changing AI platform.
Dates: July 10 – Aug 27, 2015 (negotiable but minimum 5 weeks) Location: Maui, Hawaii. What’s covered: Roundtrip Airfare (from US) & stay. Commitment: Spirited help at Seldn, shared responsibilities at the community house and enjoying Hawaii. Eligibility: Limited spots open for 1. Super smart data scientist with experience in data wrangling, algorithm development, machine learning, python, cloud deployment 2. Front end developer with production experience in HTML5, CSS, at least one JavaScript framework (Angular/Backbone/Ember) and building next-gen enterprise SaaS products. More details on our ideal dev.
To Apply: Email [email protected] with: 1. your resume 2. brief description on why we should pick you and 3. a superpower you wish you had
That's it -- no catch. This could turn into a long-term career opportunities at Seldn, but no commitment required.
As Bruce Lee said so well: Absorb what is useful, Discard what is not, Add what is uniquely your own.
Hope it helps someone and Happy New Year!
As Bruce Lee put it: Absorb what is useful, Discard what is not, Add what is uniquely your own.
Hope it helps someone and Happy New Year!
From:http://www.aclu.org/national-security_technology-and-liberty...
Nearly all the power and heat problems in processors has to do with impedance mismatches between materials in the circuit. It's been about 5 years since I went to a conference called Beyond Moore's Law, but I remember a brilliant talk on a 5-6 order of magnitude decrease in power that is possible though impedance matching. (I couldn't find a link online, sorry!)
I suspect (rather arrogantly, since I have not seen intel's article directly) that this is what Intel was talking about.
Prior to XLabs, Travis was Chief Science Officer & cofounder of Seldn, an AI that could accurately predict rare global socio-economic disruptions. Travis led the team at Seldn to predict ‘black swans’ such as labor strikes in 12 countries, massive jumps in 30+ commodities & currencies, and societal riots four months before they happened, with 95% accuracy. Prior to Seldn, Travis co-founded and led Rotary Gallop – a machine learning fintech firm that applied game theory to corporate control (for M&A, hostile takeover, and activist situations).
Travis's analyses and quotes have been featured heavily in popular media, including the Wall Street Journal and New York Times. He has pioneered several AI algorithms as well as new approaches to engineering moonshots and novel breakthroughs. Travis received his PhD in Physics & Nanotechnology from University of Illinois at Urbana-Champaign, the world’s leading institution for condensed matter physics, and holds a B.S in physics from Purdue University. His PhD thesis lays the foundation for engineering next-gen nanotube based transistors for computers by increasing conductance by 1000x and creation of rare theorized low dimensional electron states.