Isn't it cool if we could predict cyber attacks before it happens? Predicting cyber attacks before it happens can help to prevent it. A Scientist team at Massachusetts Institute of Technology have developed an Artificial Intelligence system that can detect and stop almost 85% of cyber attacks with a little human help. This Advanced intelligent system is known as AI2. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup ParrernEx have demonstrated an artificial intelligence platform knows AI2.

Retired Army Col. Lawrence Wilkerson says the decentralization and advancements of 3-D printing, artificial intelligence, and nanotechnology are the future of warfare, and may enable the rise of modernized private robotic armies. Wilkerson's statements were made during an exclusive interview with Rick Wiles of TRUNEWS on Thursday, while discussing the possibility that billionaires like George Soros could bring rise to a modern version of the East India Company. "As were developing these new technologies particularly 3-D printing, nanotechnology, nano engineering, artificial intelligence and robotics, as were developing these now, we are reducing enormously the costs for some of the most sophisticated weapons to be in the world," Wilkerson said. These advancements, Wilkerson noted, are already being placed into conceptual practice. "With 3-D printing we have recently produced, in less than 16 hours, a drone that underwater went to the coast of France and back to the Eastern coast of the United States, underwater. You produce this drone with 3-D printing almost overnight, you hang some smart weapons on it like submarine killing torpedoes or smart mines, you take it out there and you kill a 4 billion Ohio class submarine. This is the future and if you make these kinds of weapons available to almost anyone in the world, at a reasonable price, I mean you can make this drone for about 100,000, its going to kill a 4 billion submarine, thats quite a price exchange there."

As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.

Researchers are now using AI, game theory and big data to protect wildlife and forests around the world, as technology finally catches up with poachers. The fight against poaching has proven very difficult in the past century, that's despite the advances in technology that have littered conservationism in that time. However, that could all be about to change thanks to a bit of clever thinking, with game theory and big data combining to arm park rangers with the necessary tools to fight back. The problem for park rangers is often scale, far too much land is monitored, on foot, by far too few. This means poachers have a relatively free reign, knowing the odds of the park ranger being at the right place, at the right time, is slim.

The complexities of customer support aren't lost on any CIO. Start multiplying a portfolio of products by all the potential problems, factor everything across support channels--phone, email, web chat, social media, an app and snail mail--and you quickly arrive at the intersection of unmanageable and impossible. A study conducted by Zendesk and Loudhouse found that only about 7 percent of consumers are "extremely satisfied" with the quality of omnichannel support, and 87 percent say that companies need to work harder to create a seamless customer experience. In addition, 78 percent indicated that a company's customer service reputation is a key factor in choosing products and services. All of this is motivating companies to push the boundaries on virtual agents.

I believe almost all readers of this blog already know well about Deep Learning and Convolutional Neural Network (CNN)... so here I just show you a brief overview. CNN is a variant of Deep Learning and it has been well known for its excellent performance of image recognition. In particular, after CNN won ILSVRC 2012, CNN has gotten more and more popular in image recognition. The most recent success of CNN would be AlphaGo, I believe. Indeed, we already have a lot of implementation of CNN as libraries / packages.

Cognitive technology like IBM Watson and robotic process automation technology have been largely separate. After all, they're meant to perform different jobs for different situations. But what happens when you combine the two, bringing together the cutting-edge capabilities of cognitive and the practical, powerful abilities of RPA? The video above invites you to jump on our virtual elevator and see why we decided to devlop an enterprise solution that gives the best of both worlds. Want to see how it works?

We've long seen robots replacing well-paying manufacturing jobs, resulting in huge social and economic fallout. But what happens when AI evolves to the point where it displaces roles -- like recruiting -- once held by knowledge workers? I'm no futurist, so I really can't say what will happen. But I do know that the staid world of recruiting is ripe for a little AI. I've covered this topic in a previous post, when I discussed how emerging technologies are already eliminating huge waste in the hiring process.

Rob has worked for IBM for almost two decades, first as Fellow and Chief Architect for the Service Oriented Architecture (SOA) foundation. His current project is Watson, the company's cognitive computing technology that aims to change the way machines interact with humans at the linguistic, emotional and semantic levels. "Cognitive Computing" is like intelligence amplification for humans If we were to put "cognitive computing" into a category, it would probably look more like "intelligence amplification" (IA) rather than Artificial Intelligence (AI). This is the idea that machine learning can amplify human knowledge, capabilities, and aid day-to-day procedural decisions. IBM Watson, located at the company's research center in Yorktown Heights, New York (via Wikipedia) "Watson processes information by understanding natural language, generates hypotheses based on evidence, and, because it becomes more capable and precise, Watson will help leaders and organizations make better, more confident decisions."

As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.