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We are entering a golden age of innovation in computer science

Paul Allen – Philanthopist and Entrepreneur 

Today’s computer science and engineering students have a wonderful opportunity to put their skills and expertise to use solving the world’s biggest problems. The computer programs of today are really only constrained by the user’s imagination.

Today’s announcement that the University of Washington’s Department of Computer Science & Engineering will be elevated to a school and will bear my name is truly an honor.

UW has always felt like home to me for several reasons.

In the university library my father helped lead, as the Associate Director of Libraries from ‘60 to ’82, I spent hours and hours as a kid devouring piles of books so I could follow the latest advances in science. And I spent a lot of time in the graduate computer lab as a high school senior. Of course, I didn’t belong there, but the professors looked the other way—until we wore out our welcome, as you can guess high school students would do eventually.

I still have the letter from the computer lab director, Dr. Hellmut Golde, kicking us out. A couple lines still make me laugh.

“Dear Mr. Allen,” it begins. The letter lists several reasons for kicking us out: One was that we would use all the terminals at once and for such long periods of time that the lab became too busy and noisy. The second was that some of my co-conspirators hadn’t properly checked out equipment. And the third and truly great offense still gets me.

“Earlier this week,” the letter reads, “you removed the acoustic coupler from Dr. Hunt’s office without authorization.” It’s true. Guilty as charged. Since no one was using it, we’d taken it home so we could keep working off campus. And here’s the punch line. He said we’d taken it “without leaving at least a note. Such behavior is intolerable in any environment.” And that was the nail in our coffin, I guess. I’m still embarrassed we didn’t leave a note!

With that stern letter, our free time on UW computers came to an unfortunate end.

Another reason the University of Washington is such a special place to me is that it’s where we built the Traf-O-Data machine. While Bill Gates and I handled the software side of it, the machine itself was built on campus by a UW student named Paul Gilbert, a partner Bill Gates and I recruited into our high school business venture. Paul did an amazing job turning the first 8-bit microprocessor in Seattle into a real computer.

The idea was simple enough.

We wanted to automate the traffic-measuring process, part of which required high school students to count the hole punched into a tape each time a vehicle drove over a black tube laid across the street. We wondered if there was a less expensive solution than a minicomputer to processing the tapes. I had read about the new 8008 chip from Intel and suggested we try to build a machine based on it.

Objectively speaking, Traf-O-Data was a failure as a company. Right as our business started to pick up, states began to provide their own traffic-counting services to local governments for free. As quickly as it started, our business model evaporated.

But while Traf-O-Data was technically a business failure, the understanding of microprocessors we absorbed was crucial to our future success. And the emulator I wrote to program it gave us a huge head start over anyone else writing code at the time.

If it hadn’t been for our Traf-O-Data venture, and if it hadn’t been for all that time spent on UW computers, you could argue that Microsoft might not have happened.

I hope the lesson is that there are few true dead ends in computer science. Sometimes taking a step in one direction positions you to push ahead in another one.

And relentlessly absorbing the latest in technology can help prepare you for that new path toward success.

To think that when we were building the Traf-O-Data machine there wasn’t even a computer science department at all. And now this department is one of the best in the nation, with this next phase of expansion expected to elevate the school into the nation’s Top 5 computer science programs.

If it hadn’t been for our Traf-O-Data venture, and if it hadn’t been for all that time spent on UW computers, you could argue that Microsoft might not have happened. 

This impressive program trains and educates some of the world’s best and brightest. Matter of fact, I was fortunate to be able to convince UW professor Oren Etzioni to lead the Allen Institute of Artificial Intelligence. He and his team are doing tremendous work in Fremont.

The promise of artificial intelligence and computer science generally vastly outweighs the impact it could have on some jobs. In the same way that while the invention of the airplane negatively affected the railroad industry, it opened a much wider door to human progress. As more intelligent computer assistance comes into being, it will amplify human progress.

I envy today’s young computer science and engineering students. I really do.

They have a wonderful opportunity to put their skills and expertise to use solving the world’s biggest problems. The amount of computing power available for their projects and the facility of the programming tools they can use far exceed anything we had. Today’s smartphone is many thousands of times faster than the CDC6400 students used back in 1972! And today’s computer programs are really only constrained by the user’s imagination—instead of by the small amounts of memory computers had back then.

A few examples of ambitious efforts today’s young innovators could pursue might be:

  • Improving climate modeling in order to help us more deeply understand and simulate what is occurring now and in the future related to human-caused changes.
  • Designing ever-more intelligent vehicles that make our roads safer by preventing accidents, reducing congestion and helping to reduce carbon emissions.
  • Building computer programs that are capable of digesting text and understanding it, in the full sense of that word, to help researchers connect dots more quickly based on the latest published scholarship.
  • Building models of biological systems from cells to the immune system that will give us deep insights into normal and disease states in the body.
  • Advancing the state of robotics to create real helpmates for our aging populations and evolving workplace.

I envy today’s young computer science and engineering students. I really do. 

We truly are entering a golden age of innovation in computer science, with new techniques such as deep learning at our disposal, and collaboration opening up new ways to build innovative projects.

I look forward to watching the new Paul G. Allen School of Computer Science and Engineering continue to make profound contributions both to the field and to the world. I look ahead with anticipation to the advances that will continue to flow from the school—advances that I hope will drive technology forward and change the world for the better.

Posted on March 10, 2017

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