If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The system is trained to automatically learn the internal representations of necessary processing steps, such as detecting useful road features, with only the human steering angle as the training signal. We train the weights of our network to minimize the mean-squared error between the steering command output by the network, and either the command of the human driver or the adjusted steering command for off-center and rotated images (see "Augmentation", later). Figure 5 shows the network architecture, which consists of 9 layers, including a normalization layer, 5 convolutional layers, and 3 fully connected layers. We follow the five convolutional layers with three fully connected layers, leading to a final output control value which is the inverse-turning-radius.
Qualcomm has been talking about their deep learning machine intelligence platform, Zeroth, for a number of months now. When the company first started talking about including the technology into System-on-Chips, this might have meant that the Snapdragon 820 was going to include a Qualcomm Neural Processing Unit, or NPU, as part of the hardware. Instead, Qualcomm included the Zeroth software on the device rather than a core. Over the weekend, Qualcomm has announced that they are releasing the Zeroth SDK so that developers can start to utilize this specialist software on the device rather than relying on cloud computing to process this data. Neural processing has been used for a number of years now.
NVIDIA (NASDAQ:NVDA) and Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google are two leaders in the car tech space -- and they're just getting started. Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.
Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer. Drive PX 2 is the next iteration of NVIDIA's Drive PX system, which already helps power some of world's most advanced autonomous cars. To do that, Google's used deep learning to make its driverless cars drive in ways that we understand. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Nvidia, and Tesla Motors.
Describing his company as "all-in" when it comes to artificial intelligence and virtual reality, Nvidia CEO Jen-Hsun Huang today unveiled new GPUs and AI platforms for developers at Nvidia's GPU Technology Conference in San Jose, Calif. While many of the new products and platforms are intended for data centers, Nvidia designed its new VR rendering tool, called Iray VR, to work with consumer devices. The Iray VR technology also powers the Everest VR experience created by Solfar Studios. To keep up with the ever-increasing data processing demands of machine learning and VR, Nvidia also updated its line of GPU processors.