I have spent some time researching startup companies involved in computer vision. This has largely been in an effort to understand the marketability of computer vision research (which I spend much of my time learning about and contributing to). In this post, you’ll find a list of some notable companies. Let me know if you know of some other good ones. (Of course this doesn’t include the big, big companies like Siemens, GE, Phillips, and HP that are working on medical image processing every day! Click to continue →
Last night I finished Hackers and Painters. This book is a collection of essays by Paul Graham, a PhD computer scientist, entrepreneur, and accomplished painter. (All of the essays are also available on his website) He makes a lot of great points about economics, entrepreneurship, design, and society. He also rants ad nauseum about his belief that LISP is the best programming language ever.
One of my big take-aways from this book are that to be successful in a tech startup you must work very hard, and make a product that is beautifully designed and loved by users. Furthermore, you must continue working hard and improving constantly or you’ll get squashed by big competitors. If you can do this, then Graham claims success is inevitable.
In this project I look at engineering from a different perspective… the business perspective. My team and I started with an idea: Track cars in a parking lot and use the information to help the whole operation run smoother. From there, we researched, though, and schemed until we had a sturdy business plan for the new venture. Click to continue →
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