We seek to address the limitations of existing datasets in this area. Many such datasets lack a coherent traffic network graph to describe the relationship between sensors.

I encourage you to continue to expand the baselines, include the details about the annotations in the appendix of the paper, and work on providing a well-documented code release. I trust you will do all of these things. Though I'm impressed with the rebuttal, I will probably not change my score since I think it is already quite high. I do however think the paper should be accepted. Best, R3 ### Originality -STREETS differs from previous work in several ways: --The dataset is collected from a camera network with a graph-based structure, and the relationship between cameras is available --The dataset focuses on the suburban setting --The dataset accumulates temporal traffic data from multiple intersections Overall, the authors have clearly explained how STREETS is different from prior work and have explicitly developed STREETS to address shortcomings in this work.

I had a couple questions I had wanted to ask Tom Siebel ever since his company, C3.ai (ticker "AI") went public in December of 2020. When I finally get my chance, I have to wait a moment, because Siebel is irrepressible. He often has the advantage on a reporter, leading with a kind of gusto that eclipses the standard question and answer protocol. "I had an epiphany this week," Siebel tells me, over a Greek coffee at a Greek joint in midtown Manhattan, Friday afternoon. Siebel, in the course of meeting with investors in New York and Boston this week, including Fidelity, has had reason to crystallize his thoughts about what artificial intelligence means, at least for his company and his customers. It is a good time to go on the road. At a recent stock price of $24.24, C3.ai shares are down sixty-five percent in the past year, twenty-two percent this year, and seventy-four percent since the IPO. And the entire software market is somewhat in the toilet as valuations are revised across the board.

Two other methods to reduce dimensions are stemming and lemmatization. I will use one of the articles in the previous post. First, I create new string called news. After than I split the words to tokens. To see the effect we can compare the first 50 words of the lists.

In many ways this year's CES looked a lot more like an autonomous-car show than a consumer electronics show. There were announcements aplenty from the likes of Ford, Baidu, Toyota, and others about self-driving vehicles, upcoming driving tests, and new partners. In a parking lot across from the Las Vegas Convention Center, several companies offered rides; you could even schedule a ride in a self-driving Lyft through the company's app and get dropped off at one of many casinos on the Strip. A couple of miles away in downtown Las Vegas, an eight-passenger autonomous shuttle bus ran in a loop around Fremont Street. It was part of an ongoing test between commuter transit company Keolis, autonomous-car maker Navya, and the city.

Street signage is the iconography of the automobile age. It's like highly functional pop art: silhouettes of schoolchildren, white arrows, rectangular cries of WRONG WAY and, most central of all, the ubiquitous stoplight. The traffic light might be the first part of that iconographic world to be transformed, or vanish altogether, once we are fully in the age of autonomous cars. Robots, after all, won't need signs to optimize the way they move through urban landscapes. Urban-transportation experts have been busily creating computer simulations to show how this might work.

APPENDIX I Attendance List *An asterisk indicates either that the person was a part--time deputy for a delegate, or that their attendance was restricted to particular Sessions by accomodation difficulties.