Specifically, for average precision IOU on the MNIST-10 dataset, we obtained 0.459 and 0.453 for our model

Specifically, for average precision IOU on the MNIST-10 dataset, we obtained 0.459 and 0.453 for our model

Five years from now, company leaders will be looking back and wishing they developed an artificial intelligence strategy sooner, according to one of the veterans of the field. Andrew Ng, the cofounder of Coursera and the former machine learning chief at Chinese tech powerhouse Baidu, said that he thinks Fortune 500 businesses will find the rise of AI similar to the rise of the internet. Some top CEOs bemoan how their businesses were late to the party when it came to competing on the internet, and Ng said that the same thing will be true when it comes to AI. In his view, businesses are best off hiring a leader with deep knowledge of the field who can help build up an organization's knowledge and capabilities in a centralized way. That chief AI officer, as he described it, would be charged with helping to bring expertise in the field to the rest of the a company.

Artificial intelligence may be one of the technology world's current obsessions, but many people find it scary, envisioning robots taking over the world. Two top experts in the field-- Andrew Ng, a Stanford University adjunct professor and former AI scientist at Alphabet Inc.'s Google and Chinese internet giant Baidu Inc., and Tong Zhang, executive director of the AI Lab at Tencent Holdings Ltd. --sat down with The Wall Street Journal's global technology editor, Jason Dean, to explain why they believe the opportunities associated with this technology far outweigh the bad. The title of this panel refers to "the singularity," or the idea that artificial intelligence will become so powerful that robots will take over. Andrew, I know you're skeptical of that. What should we be worried about with AI and where are the biggest opportunities?

Deneb Robotics (Auburn Hills, Mich.) has been awarded a $2.3 million contract from the National Institute of Standards and Technology (NIST) to develop the agent network for task scheduling and execution. This intelligent agent-based project is designed to improve existing factory-scheduling systems with a new task scheduling and execution system in which Shell U.K. Exploration and Production availability and prevent cars from agents represent factory resources, systems, (Aberdeen, U.K.) has implemented being damaged while they are parked. The Arvin Industries (Columbus, Ind.) is Cisco Systems (San Jose, Calif.), a supplier expert system helped Shell achieve working with the U.S. Air Force to of network technology, is using over $1.6 million in cost savings for develop a neural network system that intelligent-agent technology to integrate its Brent Field site within 2 months of can determine the quality of noise in CD-ROM and online web information implementation. The neural network will help The addition of intelligent The National Research Council has determine what exactly an annoying search-and-retrieval capabilities has awarded Nestor (Providence, R.I.) a sound is and how it can be fixed. Mercedes-Benz plans This system has helped cut specialty Neural Computer Sciences (NCS) to establish three vrf test sites in clinic costs by 40 percent.