Pricing services is often arcane, taking into account many factors beyond simple supply and demand. As our world becomes more complicated and connected, it's likely that mobility and event-based Pricing will increase and become more complicated. It costs more to ride a subway train during rush hour than it does at 9pm. "Congestion pricing" has traditionally been used to try and steer people who are not in a hurry out of peak hours. The same principle is also applied to tolls, congestion taxes, and opening or closing HOV lanes in specific directions. So, what will the future likely bring?
Andrew Stein is a Software Engineer who leads the perception team for Waymo, a name that stands for'New Way Forward in Mobility'. Waymo is an autonomous driving technology development company that is a subsidiary of Alphabet Inc, the parent company of Google. What initially attracted you to AI and robotics? I always liked making things that "did something" ever since I was very young. Arts and crafts could be fun, but my biggest passion was working on creations that were also functional in some way.
The economic recession that follows as a consequence of the Covid-19 crisis and in particular the demise of certain sectors of the economy (physical retail, hospitality sector, etc) means that there will be greater pressure on politicians around the world to consider how to stimulate GPD growth in the post-pandemic world. However, there are also increasing pressures on politicians to combat the threat posed by Climate Change. Are the desired objectives of GDP and employment growth as well as reducing pollution at odds with each other? What if there is a pathway to GDP growth with the creation of new jobs and yet at the same time we are able to reduce emissions of Green House Gasses (GHGs)? A report entitled "How AI can enable a sustainable future" by PWC and commissioned by Microsoft (lead authors Celine Herweijer of PWC and Lucas Joppa of Microsoft) estimates that using AI for environmental applications across four sectors – agriculture, water, energy and transport. The report estimated that such applications could contribute up to $5.2 trillion USD to the global economy in 2030, a 4.4% increase relative to business as usual.
The all-new Hyundai Sonata features a Remote Smart Park Assist that lets you park it from outside the vehicle. Fox News Autos editor Gary Gastelu tries it out. Will car companies walk before they can fly? So-called "flying cars" may be all the buzz these days, but Hyundai has established a new team in Silicon Valley tasked with developing a production version of the futuristic Elevate walking vehicle concept it unveiled at CES in 2019. The vehicle is equipped with robotic legs that have wheels instead of feet that allow it to drive like a car and also lift the body off the ground to traverse rough terrain in a walking motion.
The next industrial revolution is already happening. Artificial intelligence (AI) is ushering in an era of technologies that are faster, more adaptable, more efficient, and making the world more digitally connected. AI is best described as complementary to human intelligence, delivering the computing power to crunch numbers too big for people and recognize patterns too tedious for the human eye. In a Harvard Business Review study of 1,500 companies, it was found that the most significant performance improvements were made when humans and machines worked together. As AI becomes one of society's greatest assets, it's especially helpful for solving problems that seem larger than life -- like protecting our natural environment.
On Nov 28th 2019, the EU parliament declared a global climate and environmental emergency. They say that all politics is local and across the world climate change seems to be coming home to roost. In the hills around San Francisco the bankrupt PG&E power company pre-emptively shutoff power to homes for several days as it worried that its ageing electrical equipment would act as a match to the parched trees and vegetation. In Europe extreme flooding has been immersing ancient towns in apocalyptic scenes. In Australia it was hard to discern the iconic Sydney Opera House for all the smoke from the raging bush fires.
A lot of the conversation about the future of AI and automation focuses on the AGI endgame ("will humans still work when artificial general intelligence can do everything?"). But there are more interesting, tractable, and concrete questions to answer about the effects of "narrow," task-specific AI that looks more or less like what we have today. In the near future, we can expect more advanced robotics, autonomous cars, customer service chatbots, and other applications powered by such narrow AI to take over certain tasks from humans. Should we be optimistic about labor in the next 10-50 years, when parts of industries will be automated by narrow AI? What early signs of those trends should we be concerned about now?
Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Veena Dubal about the ethical crisis of the gig economy. What is precarious work and how does it impact the psychology of labor? How might platforms like Uber and Lyft be negatively impacting their workers? How do gig economy apps control the lives of those who use them for work?
Tesla may be introducing machine-learning training as a web service with its upcoming'Dojo' supercomputer, CEO Elon Musk said on Twitter. Project Dojo was initially revealed by Musk last year and is a supercomputer which Tesla has been working on. The supercomputer has been designed to ingest massive amounts of video data and perform massive levels of unsupervised training on the visual data. The goal of Dojo will be to be able to take in vast amounts of data and train at a video level and do massive unsupervised training of vast amounts of video data. Dojo uses our own chips & a computer architecture optimized for neural net training, not a GPU cluster. Could be wrong, but I think it will be best in world.
Artificial Intelligence (AI) is the study of "intelligent agents" which can be define as any device that perceives its environment and takes appropriate action that makes the highest probability of achieving its goals. Additionally, it can also be define as a system's ability to interpret external data, learn from gathered data and use those learnings to realize specific goals through adaptation. It is also called as machine intelligence and attributed to the nature of intelligence demonstrated by machines. Some of the features of artificial intelligence are; successfully understanding human language, contending at the highest level in strategic games systems such as chess and go, autonomously operating cars, intelligent routing in content delivery networks and military simulations and others. To solve the problem of learning and perceiving the immediate environment, many approaches have been taken such as statistical methods, computational intelligence, versions of search and mathematical optimization, artificial neural networks, and methods based on statistic, probability and economics.