A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.Computer Sciences[#item_full_content]

Imagine watching a pizza chef going about his work in a kitchen. You see him: weigh flour before adding water and yeast to it; knead the mixture into a dough; leave it to rise while he slices pepperoni and other toppings; stretch out the dough before assembling the pizza and sliding it into an oven.Imagine watching a pizza chef going about his work in a kitchen. You see him: weigh flour before adding water and yeast to it; knead the mixture into a dough; leave it to rise while he slices pepperoni and other toppings; stretch out the dough before assembling the pizza and sliding it into an oven.Machine learning & AI[#item_full_content]

AI and its related terms are now fairly well known. Many people have heard of terms such as “neural network” and may even associate “CNN” with “Convolutional Neural Network” instead of the news organization. Those with more than a passing interest in AI might even know about AlexNet, the pioneering CNN architecture that revolutionized image recognition and deep learning in 2012.AI and its related terms are now fairly well known. Many people have heard of terms such as “neural network” and may even associate “CNN” with “Convolutional Neural Network” instead of the news organization. Those with more than a passing interest in AI might even know about AlexNet, the pioneering CNN architecture that revolutionized image recognition and deep learning in 2012.Machine learning & AI[#item_full_content]

Trust is vital to the widespread acceptance of AI across industries, especially when safety is a concern. For example, people may be hesitant to ride in a self-driving car knowing that the AI running it can be hacked. One barrier to increasing trust is that the algorithms powering AI are vulnerable to such attacks.Trust is vital to the widespread acceptance of AI across industries, especially when safety is a concern. For example, people may be hesitant to ride in a self-driving car knowing that the AI running it can be hacked. One barrier to increasing trust is that the algorithms powering AI are vulnerable to such attacks.Security[#item_full_content]

Google said Friday it has made “more than a dozen technical improvements” to its artificial intelligence systems after its retooled search engine was found spitting out erroneous information.Google said Friday it has made “more than a dozen technical improvements” to its artificial intelligence systems after its retooled search engine was found spitting out erroneous information.Internet[#item_full_content]