driverless dilemma

This series of blogs records the Stanford University Open Class-Learning notes for machine learning courses.Machine learning DefinitionArthur Samuel (1959): Field of study that gives computers the ability to learn without being explicitly programmed.Tom Mitchell (1998): A computer program was said to learn from experience E with respect to some task T and some performance Measure P, if its performance on T, as measured by P, improved with experience E.Machine learning is roughly divided into fou

there is a wide range of areas, such as the beginning of the country, I said the price of apples in various cities, if you have such information, you can determine where the apple to make more money to pay, consider the longer-term is where to grow apples the most cost-effective. The book also lists an example of all flight fares and is similar.　　In the big data age, I predict that the sensor field will be full of development, perhaps the sensor everywhere, we can obtain a variety of data throu

. Example data from GE official websiteToday's driverless cars, with hundreds of sensors, produce 40TB of data per 8 hours of driving, most of which are unimportant, and it is impractical to send such a large amount of data to the cloud. Edge Computing is a good solution to this problem, the first local computing, the important results of the calculation and then uploaded to the cloud.What can we tell from this chestnut? Unmann

flow sheet production capacity, can also do the OEM. Last year, Samsung's total sales of more than $40 billion, growth rate is good.Unlike other semiconductor manufacturers in the industry, Samsung Semiconductors offers one-stop chip supply and solutions. For smartphone we are able to provide good processor, memory and so on.And now we are in the mobile internet/iot era, "smart" contains products in addition to smartphones, smart watches, but also the emergence of medical wearable devices, smar

--- Restore content start --- Quadrotor This is an example Of a camera called a ladybug in two versions of the black and the red one. Which is an array of cameras capturing panoramic views and Producing panoramic videos. The Kinect is a camera that you have seen on the Xbox 360 and this is Really capturing a depth [inaudible] and can estimate the skeleton of your body. This is something called the laser plugin, A hoku

ArticleDirectory About What does the API look like? License Download Build instructions Contact About Hidapi is a multi-platform library which allows an application to interface with USB and Bluetooth hid-class devices on Windows, Linux, and Mac OS X. while it can be used to communicate with standard hid devices like keyboards, mice, and joysticks, it is most useful when used with venm (vendor-defined) hid devices. using devices do this in order to not require a c

said. Wunda's breakthrough is that it makes the neural network extremely large, increasing the number of layers and neurons, allowing the system to run a lot of data and train it. Wunda's project calls pictures from 10 million YouTube videos, and he really lets deep learning have "depth". Today, in some scenarios, machines that have been trained in deep learning techniques are better at identifying images than humans, such as identifying cats, identifying the characteristics of cancer cells in

. This is also the furthest phase we can see. In terms of popularity, Folena's first self-driving truck has been approved by the California Highway earlier this year, the world's number one autonomous vehicle for access to highways. In this truck, drivers still play a monitoring role and have absolute control over the vehicle. So, is it true that the final phase of the Smart car will allow us to enjoy the lives of the driverless? Or will the driving p

Mr. Li announced that Baidu would launch an unmanned vehicle this year, and the chief executive of Tesla said shortly ago that "driverless cars are not a thing", meaning that the era of unmanned driving is coming. But in fact, unmanned driving is still in the initial stage of the dream, Google's unmanned vehicles have long been on the road test, so far still not commercially, that is evident. However, prior to realizing the dream of unmanned driving,

, complex behavioral decision-making algorithms are mainly FSM, AHP, decision Tree, Fuzzy Logic, Genetic algorithm GA, Ann, Artificial neural network, and specific problems of the particular algorithm, such as Path planning (Ros provides a move-base module, implemented a number of path planning algorithms), generally used in C + + mixed Python programming Behavioral decision algorithm, there are good solutions, such as the navigation path planning algorithm, but also very difficult, such as th

does the data speak? In the era of big data, data not only speak, but also drive business decisions, allowing businesses to move in the right direction. 650) this.width=650; "Src=" Http://s2.51cto.com/wyfs02/M00/85/28/wKioL1ebFEfip18fAACntk9oBpA180.jpg-wh_500x0-wm_3 -wmp_4-s_2417758109.jpg "title=" Zhiyun CRM: The Big Data era, in a simple way to let the data speak "alt=" wkiol1ebfefip18faacntk9obpa180.jpg-wh_50 "/>"With the rapid development of information technology, it has created a large amo

boosting or a reverse lethal effect on the company's success. The success of many companies is more due to the window period. Because of the product and demographic dividend, it is usually not because of management, or even because management actually brings negative values, it's just because other aspects are too large, or the arrogance of success is offset. If management loses its soul, it will still feel better when the problem grows. Instead, it will miss a chance to deeply understand the p

service (SAAS), and SaaS seems to be in line with the disruptive innovation of Clayton Christensen, a professor at Harvard Business School, the SAAs dilemma currently faced by dominant software vendors can be fully reflected in Christensen's book. The so-called disruptive innovation represents a brand new delivery mode and pricing mode, which are always oriented to small customers at the beginning. It is usually simple, cheap, and revolutionary, disc

impact on the emergence of cooperative behavior; 2) in the context of evolutionary game dynamics and network structure, the change and emergence of cooperative behavior in college students ' community are studied. As a powerful means to research cooperative behavior, the commonly used evolutionary game model has the prisoner dilemma model, shovel snow model, public goods model and so on. Prisoner dilemma