@apresher: It looks like Missouri S&T was 10-1 last year, and came in second in their conference. I agree that most of their players are probably not headed for the NFL, but it is a very highly-rated Division II team.
I agree wholeheartedly that this is the kind of recruitment effort we should see more of.
Chuck, MS&T was one of the schools my older son got into. He ended up going to another engineering school, but MS&T was a close second. We visited a couple of times and it is a great school and environment for engineering students. One of the things I hear a lot is how we don't have enough engineers in the US. I don't believe that, but with the talk about the issues in education in this country, the success of our engineering schools sometimes gets crowded out. It is good to see a school like MS&T getting the message out.
Chuck, It may be that only a Science and Technology could get away with this kind of promotion to prospective students. Most of their players are probably not thinking about the NFL. Thanks for the interesting angle on engineering recruitment.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.