141–150 of 177 posts
I quite like it, there are lots of hard technical problems. I realised that since I joined ~1 year ago, I haven't worked on any CRUD apps at all yet.
Here are some positions: http://hire.jobvite.com/CompanyJobs/Careers.aspx?nl=1&k=JobL...
Reach out if you have questions: skhalsa@climate.com
There are several startups attempting practical nuclear fusion, including: Helion - has investment from ycombinator, attempting D-D/D-He3 fusion, which would produce only 6% of its energy as neutron radiation. General Fusion - D-T fusion, but with a clever design that pretty much solves material issues caused by hard neutron radiation. Fusion happens in a spinning vat of molten lead, compressing plasmas with acoustic…
Pardon, I think you meant to say: http://www.helionenergy.com/ http://www.generalfusion.com/ http://lawrencevilleplasmaphysics.com/ http://emc2fusion.org/ http://www.lockheed.com/ http://www.sandia.gov/ http://www.washington.edu/ I'll send you my bill in the mail.
http://www.lockheedmartin.com/us/products/compact-fusion.htm...
https://share.sandia.gov/news/resources/news_releases/mag_fu...
http://spectrum.ieee.org/energy/nuclear/inside-the-dynomak-a...
At Airware, we are doing hardware, embedded systems, flight controls, desktop development, and web services. We deal with every type of data that could be captured by a 5-50lb drone aircraft and processed or analyzed: images, video, logs, streaming telemetry, etc. Problem spaces include autonomy, machine vision, and distributed computing (both on the vehicle and in the cloud). Yes, we are hiring: http://www.airware.c…
Just a week ago we released our 'distributed metronome', which lets musicians hear a synchronized metronome regardless of how much internet latency there might be.
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Imagine moving a slider in your viz to change a filter, physics setting, etc. and have cluster start to immediately feed back new results. We started on building fast-start multitenant access to single GPUs and approaching peak on those (full-GPU barnes hut, 10X over Keshav's work). We're now focusing on distributing, and as we are more interested on running on many GPUs for scale out, focusing on communication avoid…
Ok, I see, so your approach makes sense for problems where throwing some GPUs at it gives you a solution in O(10) seconds? Sounds nice if you know you hav problems that fit into that category. I found the Graphistry webpage lacking in answering the question "which specific problem does this solve?" Infoviz is too broad/vague.
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Check out the AMD APU. We've had good experiences with recent Intel integrated as well due to embedded RAM. You are right though in that we write our code with data parallel and sometimes manycore SIMT in mind.
I worked on the Intel integrated embedded RAM a couple years ago (before release)! It was tough getting the h/w bugs out. Are you using it in Windows or Linux?
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It's not solving difficult problems in algorithms, systems engineering, hardware, ML, AI, etc. Nothing wrong with that. But using today's technology in web and mobile to build a highly-usable customer experience, is not what OP meant by hard technical problems.
I'd like to correct you on that, Oscar is not just a pretty design smacked on-top of an insurance company. It's the entire insurance stack redesigned from the ground up. Algorithms and ML are all heavily used in analyzing member data to improve the lives of people. We're engineering systems that give us real-time feedback on the insurance system as a whole, rather than the usual "30-60 days". Building a claims system…
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A third party (HB Gary) — not Palantir and certainly not its CEO — suggested the 'offensive' campaign against Wikileaks. Palantir — and specifically its CEO — immediately disclaimed involvement or interest in both that plan, or anything of its general type. How do you justify to yourself slandering a company by claiming nearly the exact opposite of what happened?
That is not true. Palantir along with HBGary and Berico Technologies authored the report suggesting an 'offensive' campaign. [1] They did apologize for this and as you say, disclaimed involvement or interest in such a plan. [2] [1] https://wikileaks.org/IMG/pdf/WikiLeaks_Response_v6.pdf [2] http://www.forbes.com/sites/andygreenberg/2011/02/11/palanti...
But also, the branding of the presentation does not reliably indicate the origin of the specifically offensive bullet points (most notably the "Potential Proactive Tactics" slide), nor whether the contents ever progressed past trial-balloon status.
In particular, coverage by Greenwald [1] (working from more email thread context for which I can't find a current online source) identifies HB Gary principal Aaron Barr as the verbatim source of some of the most-aggressive anti-Greenwald language.
So I can see that someone at Palantir was coordinating with the other entities and leading the document-prep. But they also cut-and-pasted material from the potential contract partners, including vague proposals outside Palantir's focus, that may never have been approved or presented.
I'd ascribe those bullets to Palantir itself if that deck was in fact ever presented to a client. We don't know if that's the case. If instead that text just bounced around as a discussion draft (including their more-aggro partners), but went nowhere, and was eventually categorically disavowed... then it's a stretch to say that the company or its leadership actually advocated those steps.
Planet Labs https://www.planet.com/
1) Onu: A cloud computing framework based on GPUs. I have worked with both of their co-founders and have really high hope for this company in the future of cloud computing market. They are hiring top GPU programmers: http://anticipate.onu.io/
2)Tachyon Nexus: memory-centric distributed storage system. Just announced a couple of days ago by my friend Haoyuan Li from Berkeley AMP lab. http://www.tachyonnexus.com/
3) Mental Canvas: A spin-off from Yale professor Julie Dorsey, they are working on 3D reconstruction from 2D drawing. Very cool stuff and one of my friend is the early employee there: http://www.mentalcanvas.com/