Dudley Williams speaks to the Democratic Headquarters after retaining his seat on the Board of Finance on Nov. 3, 2015. Photo: Michael Cummo / Hearst Connecticut Media Stamford finance board cuts education budget 1/1 Back to Gallery STAMFORD The Board of Finance voted Thursday to cut $1.7 million from the school districts budget request for next fiscal year. Finance board member Dudley Williams thanked Superintendent of Schools Earl Kim , who was in the room along with most Board of Education members, for putting together a responsible spending plan, but Williams said his panel found potential savings after examining the schools budget for weeks. I dont think thats a horrendous amount, Williams said. I feel comfortable about the work weve done to come up with these reductions We have to make decisions. We have to make tough choices. Only two Board of Finance members voted against the cut Sal Gabriele and Shelley Michelson . The reduction leaves the schools proposed budget at $269.7 million, a 2.2 percent increase over the original budget allocated for the current fiscal year. But when considering recent adjustments to the 2016-17 budget, which went up last month because of a change in the post-employment benefits account, the increase is of 1.6 percent. The spending plan could face further cuts by the Board of Representatives , which is expect to vote on the budget next month. Most school board members and several central office administrators who were in the room gasped in disbelief when the cut was announced.
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Now some researchers are deriving algorithms from GTAV software that’s been tweaked for use in the burgeoning self-driving sector. The latest in the franchise from publisher Rockstar Games Inc. is just about as good as reality, with 262 types of vehicles, more than 1,000 different unpredictable pedestrians and animals, 14 weather conditions and countless bridges, traffic signals, tunnels and intersections. (The hoodlums, heists and accumulated corpses aren’t crucial components.) The idea isn’t that the highways and byways of the fictional city of Los Santos would ever be a substitute for bona fide asphalt. But the game “is the richest virtual environment that we could extract data from,” said Alain Kornhauser, a Princeton University professor of operations research and financial engineering who advises the Princeton Autonomous Vehicle Engineering team. Waymo uses its simulators to create a confounding motoring situation for every variation engineers can think of: having three cars changing lanes at the same time at an assortment of speeds and directions, for instance. What’s learned virtually is applied physically, and problems encountered on the road are studied in simulation. Quick Brown Fox Whenever a human has to grab the wheel of a test car because self-driving software hasn’t responded properly, “we’re able to play back the exact situation and predict via simulation what could have happened if the car had been left to drive itself,” Waymo said in a self-driving project report. “If the simulator shows better driving is called for, our engineers can make refinements to the software, and run those changes in simulation in order to test the fixes.” At Toyota Motor Corp.’s Toyota Research Institute in California, engineers try to “break the system” through what’s known as the Quick Brown Fox test: running mile after mile in the most challenging weather and traffic conditions. For all the stupid mistakes motorists regularly make, the human brain is far superior to a computer in perceiving and reacting to the unexpected, from a pothole to a construction zone to a toddler chasing a ball into the street. That’s the great challenge for all the companies competing to be first in the autonomous space: how to make onboard systems better than people at driving, and make driving safer.