A new study has claimed only 3,000 four-passenger cars are needed to meet New York City's taxi demand. MIT developed an algorithm that suggest app-based carpool services, such as Lyft and Uber, could replaces the Big Apple's 14,000 taxis, with an average wait time of just 2.7 minutes. It was also found that the number of vehicles on the road would be reduced by 75 percent, which would also cut pollution and traffic by 300 percent. What makes MIT's system so unique is that it allows requests that would come in through an app, like Uber's, to be rematched to different vehicles, which allows resources to be used wisely MIT's new algorithm finds New York City only needs 3,000 four-passenger cars to meet the taxi demands - if they are all used for carpooling. The system allows requests to be rematched to different vehicles, which allows resources to be used wisely.

Ford Motor Co. said Tuesday it was scrapping plans to build a $1.6-billion factory in Mexico and would invest $700 million to expand a Michigan plant to build electric and autonomous vehicles that will add 700 jobs there in a move Ford's chief executive said was a "vote of confidence" in the economic policies of President-elect Donald Trump. Ford isn't abandoning expanded production in Mexico. The company said that to "improve company profitability" it would build its next-generation Ford Focus at an existing plant in Hermosillo, Mexico. But in the wake of criticism by President-elect Donald Trump of the U.S. automaker and other companies moving manufacturing jobs across the border, Ford said it would cancel its plans for a major new plant in San Luis Potosi, Mexico. A company news release didn't mention Trump, but Chief Executive Mark Fields told CNN on Tuesday that the new plans were "a vote of confidence" in the direction of the U.S. economy under the president-elect.

We uncovered the following insights and trends: • Semi-autonomous vehicles are the stepping stone to fully autonomous vehicles. Most car manufacturers and technology companies have taken Tesla's lead and are offering features like self- parking, adaptive cruise control, emergency braking and semi-hands off driving in highway/interstate conditions. Semi-autonomous features help consumers become comfortable with the idea of robots taking the wheel.

Like most cities around the world, New York City suffers from horrendous traffic. A new MIT study suggests that UberPool and Lyft Line (the two apps' carpool features that allow strangers to share a ride for a reduced fare) could be the key to cutting down on urban congestion. If New Yorkers switched from private taxis to carpools, traffic would decrease dramatically, according to the researchers. Using data from 3 million taxi rides, they designed an AI algorithm that would both reduce congestion and wait time for the vehicles. The researchers used taxi ride data to understand how New Yorkers move by car (Just 23% of Manhattan households own personal cars).

Like most cities around the world, New York City suffers from horrendous traffic. A new MIT study suggests that UberPool and Lyft Line (the two apps' carpool features that allow strangers to share a ride for a reduced fare) could be the key to cutting down on urban congestion. If New Yorkers switched from private taxis to carpools, traffic would decrease by dramatically, according to the researchers. Using data from 3 million taxi rides, they designed an AI algorithm that would both reduce congestion and wait time for the vehicles. The researchers used taxi ride data to understand how New Yorkers move by car (Just 23% of Manhattan households own personal cars).

Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization. The supply of able ML designers has yet to catch up to this demand. A major reason for this is that ML is just plain tricky. This tutorial introduces the basics of Machine Learning theory, laying down the common themes and concepts, making it easy to follow the logic and get comfortable with the topic. So what exactly is "machine learning" anyway?

A whole new developing infrastructure from chips to code to customers is being restacked. Artificial intelligence, or learning machines, whether you call them machine learning, deep learning, or neural nets, are the next wave of disruption. It's going to be as big as the innovation and disruption ushered in by cloud/mobile in the last fifteen years. Fortunes will be made, and lost, from early investors in artificial intelligence. With such a massive financial, social and economic impact imminent, the White House issued a formal position paper with 23 recommendations.

Ford Motor Co. said Tuesday it was scrapping plans to build a $1.6-billion factory in Mexico and would invest $700 million to expand a Michigan plant to build electric and autonomous vehicles that will add 700 jobs there in a move Ford's chief executive said was a "vote of confidence" in the economic policies of President-elect Donald Trump. Ford isn't abandoning expanded production in Mexico. The company said that to "improve company profitability" it would build its next-generation Ford Focus at an existing plant in Hermosillo, Mexico. But in the wake of criticism by President-elect Donald Trump of the U.S. automaker and other companies moving manufacturing jobs across the border, Ford said it would cancel its plans for a major new plant in San Luis Potosi, Mexico. A company news release didn't mention Trump, but Chief Executive Mark Fields told CNN on Tuesday that the new plans were "a vote of confidence" in the direction of the U.S. economy under the president-elect.

As we kick off a new year, I wanted to take a quick look back to offer some thoughts on the top ten technology books from 2016. Kelly was a founding editor of Wired magazine, and in this book, he offers an optimistic view into what the future of technology holds. His ability to see and interpret the future, as well as connect the dots to the past makes for an especially enlightening read. Alec Ross is a former Senior Adviser for Innovation to the Secretary of State, a post that took him to 41 countries. He draws on that experience to predict which industries will emerge and grow more than others, offering genomics, cybersecurity, robotics, and blockchain (among others) as examples. Ross includes anecdotes and stories from government officials and entrepreneurs alike.

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added. There are various forks of Caffe branches that cover a variety of tasks. Optimized for Intel Architecture offers all the goodness of main Caffe with the addition of CPU optimized functionality and multi-node distributor training. This video tutorial shows you how to install Caffe* Optimized for Intel Architecture. Training and Deploying Deep Learning Networks with Caffe* Optimized for Intel Architecture This tutorial article provides detailed instructions on how to build Caffe optimized for Intel architecture, train deep network models using one or more compute nodes, and deploy networks.