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.

Are the humans of finance an endangered species? People are still the lubricant that oils the wheels of finance, toiling at innumerable tasks--executing and settling trades, writing analysis, monitoring risk. Squeezed by low interest rates, shrinking trading revenue, and nimbler technology-based competitors, banks are racing to remake themselves as digital companies to cut costs and better serve clients. In other words, they're preparing for the day that machines made by men and women take over more of what used to be the sole province of humans: knowledge work. Consider venerable State Street, a 224-year-old custody bank that predates the steam locomotive and caters to institutional investors such as pensions and mutual funds.

What happens when computers achieve a human level of artificial intelligence (AI)?" Ben Ross, MYOB's User Experience and Product Management leader, believes that because of advances in hardware and software, it's not a matter of if, it's a matter of when. As a tech enthusiast, Ross is passionate about the potential of automation and AI. He cites Moore's Law as a way to illustrate the advances in field, wherein the computing power of machines double every twelve months -- a fact that has held true over the last 50 years. That said, if we average expert predictions, we will reach human-level AI by 2040, and we will achieve super intelligent AI by 2060. "Even if it takes twice as long -- it's going to happen in yours and my lifetime.

LAS VEGAS, NV - JANUARY 05: An illuminated sign at the Nvidia booth is seen at CES 2017 at the Las Vegas Convention Center on January 5, 2017 in Las Vegas, Nevada. CES, the world's largest annual consumer technology trade show, runs through January 8 and features 3,800 exhibitors showing off their latest products and services to more than 165,000 attendees. Nvidia Corp. is scheduled to release earnings after Tuesday's close. The stock hit a record high of $120.92/share in February 2017 and is currently trading near $104/share. The stock is prone to big moves after reporting earnings and can easily gap up if the numbers are strong.

Reno, Nevada, may not seem like the place to develop the country's first self-driving public bus, but Richard Kelley thinks it presents all the right challenges. The buildings are taller than those in the office parks of the Silicon Valley, providing a good visual test for the complex algorithms. The weather is more taxing, arid with occasional snowfall. "You have people who are just walking out of the casino," says Kelley, the chief engineer at the University of Nevada at Reno's Advanced Autonomous Systems Innovation Center. If you're teaching a 14-ton machine to navigate urban chaos by itself, Reno's not a bad schoolyard.