ENVIRONMENT


Cisco Announces Intent to Acquire Perspica

@machinelearnbot

Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.


The robot that could help clean up Fukushima

Daily Mail

From Fukushima in Japan to Sellafield in the UK, the world is home to a number of sites that are contaminated with radioactive waste and require clean-up. The current techniques available to do this are expensive and time consuming – but a new'super hero' robot could help to cut both costs and time. The robot, called Avexis, is designed to fit through a 100mm access port in the flooded reactors at the Fukushima site, to locate and analyse melted fuel. Many areas around Fukushima are still being decontaminated, 58,000 people are still displaced from their homes and the local food industries have been crippled. Its designers hope that the robot will be ready to deploy at the Fukushima Daiichi Nuclear power plant by February 2018.


How AI conquered democracy - BPU Holdings, ZimGo

#artificialintelligence

Arguably, there's no better time to be a politician than now. With the advances made in AI, Machine Learning, and Deep Machine Learning politicians can have access to real-time polling results. They also have much further-reaching access to their constituents due to the fact that most people are walking around with the digital world in their pocket (or purse). What's really exciting is that Machine Learning is being used to better understand what issues are most important to voters and to more effectively interact with them. We can use AI to better listen to what people have to say and make sure their voices are being clearly heard by their elected representatives.


To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans

#artificialintelligence

Next time you're driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she's heading for the group of friends waving to her from the sidewalk. You make these calls by drawing on a lifetime of social and cultural experience so ingrained you hardly need to think about it. But imagine you're an autonomous car trying to do the same thing, without that accumulated knowledge or the shared humanity that lets you read others' nuanced behavioral cues.


Martin Brossman Addresses Artificial Intelligence and Your Future in Science Talk at St. Andrews University - Press Release - Digital Journal

#artificialintelligence

A basic understanding of how it is affecting our culture is critical for business, students, sales representatives and professionals. It is a topic that inspires St. Andrews alumnus Martin Brossman to gather big-picture insights which he will share in his presentation at noon on Friday, October 20 in LA104 on the Laurinburg campus. "There has never been any other time in life when so many aspects of our world are focused on advancing artificial intelligence (AI) and machine learning as today," Martin Brossman said, "I believe students and professionals need a basic understanding of how Machine Learning and AI are progressing today because its influence on our life is growing rapidly. As our world gets more automated and AI gains greater dominance in our society, working on enhancing our best human qualities will give us a competitive advantage." About the Friday Science Series "Friday Science at St. Andrews seminar series consists of a seminar most Friday's of each semester.


TensorFlow for Real-World Applications - DZone AI

#artificialintelligence

This article is featured in the new DZone Guide to Artificial Intelligence. Get your free copy for more insightful articles, industry statistics, and more! I have spoken to thought leaders at a number of large corporations that span across multiple industries such as medical, utilities, communications, transportation, retail, and entertainment. They were all thinking about what they can and should do with deep learning and artificial intelligence. They are all driven by what they've seen in well-publicized projects from well-regarded software leaders like Facebook, Alphabet, Amazon, IBM, Apple, and Microsoft.


How AI can help you stay ahead of cybersecurity threats

#artificialintelligence

Since the 2013 Target breach, it's been clear that companies need to respond better to security alerts even as volumes have gone up. With this year's fast-spreading ransomware attacks and ever-tightening compliance requirements, response must be much faster. Adding staff is tough with the cybersecurity hiring crunch, so companies are turning to machine learning and artificial intelligence (AI) to automate tasks and better detect bad behavior. In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.


Cisco Announces Intent to Acquire Perspica

@machinelearnbot

Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.


To Survive the Streets, Self-Driving Cars Must Learn to Think Like Humans

WIRED

Next time you're driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she's heading for the group of friends waving to her from the sidewalk. You make these calls by drawing on a lifetime of social and cultural experience so ingrained you hardly need to think about it. But imagine you're an autonomous car trying to do the same thing, without that accumulated knowledge or the shared humanity that lets you read others' nuanced behavioral cues.


This Robot Tractor Is Ready to Disrupt Construction

WIRED

Payload secured, it backs up--beep, beep, beep--whips around, and speeds to its dirt pile, stopping so quickly that it tips forward on two wheels. It drops its quarry and backs up--beep, beep, beep--then speeds back to its excavation for another bucketful. Atop the tractor is, of all things, a cargo carrier, like one you'd put on your car. But instead of carrying camping gear, it's packed with electronics. Because no one is sitting in this Bobcat tractor--it's operating itself, autonomously zipping around a lot lined with 4,500-pound concrete blocks.