260 karma · joined June 15, 2018
I have Ulcerative Colitis, which is a form of an autoimmune disease. A vaccine as a cure would be a game changer.
Albeit not the same, Xilinx and Altera have a plethora of FPGA IP that can be licensed/bought, although I can see the merit in a custom implementation here to save money.
Work with a small, fast-moving and motivated team delivering next-generation legged robots for industrial, military and public safety applications. Self-motivated, solid work ethic and ability to execute under demanding timelines and write code for mission-critical applications and find cutting edge solutions to commercializing next-generation complex robotic systems. Strong growth opportunity, and ability to help set the R&D direction as the company expands.
Ghost is venture and DoD financed with enormous potential to change the landscape of autonomous legged robotics with commercialization opportunities in enterprise, defense, public safety and eventually consumer segments. The company recently won sub-prime slots from two primes for the DRAPA SubT project, is working on several DoD projects, Innovation is an Award winner at AUVSI Defense Conference, and a finalist for the NVIDIA AI Inception Awards.
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After starting college I soon learned of the trials and tribulations of software engineers in the gaming industry. I changed my degree to Computer Engineering, took the embedded track, and recaptured that sense of awe by staring into the abyss of an Oscilloscope. Albeit, I did still take several graphics courses as electives (simply because I loved the subject).
Autoimmune diseases (and the immune system as a whole) are still a mystery to doctors/researchers, so the best approach we have to treating it is empirical instead of deterministic. The stem cell article is the type of research that I hope for, as it attempts to permeate the opaqueness of such a system.
I had an idea, albeit without any real proof, that my disease was onset by my infection by somehow "reprogramming" my immune system. This was how I rationalised going from a healthy to diseased status so rapidly. That idea trivialises much of what goes on behind the scenes in our bodies, but it seems to be more or less what this research is pointing towards.
A microcontroller is more flexible than a FPGA, but it lacks the ability to parallelize (as many) tasks as an FPGA. Hardware interrupts on a uC are definitely not free and can impact performance from the overhead associated with processing the interrupt, where an FPGA can process any interrupt for "free" without impacting the performance of any parallel module. Real time apps can be implemented on uC's and DSP's, but may not be able to meet them depending on the time constraints on your system.
FPGA's and GPU's were never meant to compete. GPU's will destroy an FPGA on any parallel data processing task, but that data needs to first be populated onto the GPU. A GPU's bottleneck is (usually) never it's processing speed, but it's data population (RAM) bandwidth. A GPU will never have direct access to hardware, where as an FPGA does. The overall speed of a GPU exceeds that of an FPGA for specialized parallel processing, but the latency of a GPU is larger.
The point is that FPGA's are specialized, and so are other co-processors/hardware. They should be used only when it makes sense to use them, and more ad-hoc or flexible solutions are not viable.