Ring founder and Chief Executive Jamie Siminoff stands in the new building in Santa Monica where his company will expand. Ring founder and Chief Executive Jamie Siminoff stands in the new building in Santa Monica where his company will expand. If booming sales, expanding offices and a parade of TV commercials hadn't put Jamie Siminoff on the radar of the home security industry, an early March incident certainly did. Four hours after the rumored collapse of a merger between a software start-up and security giant Honeywell, Siminoff took a cross-country red-eye, ready to swoop in with an offer of his own. Avoiding a drawn-out acquisition process, Siminoff in a single day hired all 75 of the beleaguered start-up's employees to work for Ring, his Santa Monica video doorbell company. Caught flat-footed, global giants that were weighing a purchase howled at Siminoff by phone. "They sat back, futzed around and let these people lose their jobs and now they want to harass" me, he said.

Apache OpenWhisk on IBM Bluemix provides a powerful and flexible environment for deploying cloud-native applications driven by data, message, and API call events. In his session at 20th Cloud Expo, Daniel Krook, Software Architect, IBM Watson and Cloud Platform, and Distinguished IT Specialist, will discuss why serverless architectures are attractive for many emerging cloud workloads and when you should consider OpenWhisk for your next project. Then get started on Bluemix with three sample applications covering how the OpenWhisk programming model enables you both to implement REST APIs and process non-HTTP events at scale. Speaker Bio Daniel Krook is a New York-based Software Engineer, Distinguished IT Specialist, Master Inventor, and Member of the IBM Academy of Technology. He works with customers and the community to create first-of-a-kind cloud solutions based on the OpenStack, Cloud Foundry, Docker, and OpenWhisk open source projects.

SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

This article was originally published on IEC e-Tech. Click here to view the original post. Many advances in electric self‑driving car technology and robotics are transferring across to industrial and commercial vehicles, which account for some 60% of the value of the overall electric vehicle market. In agriculture, the widening use over the next decade of autonomous hybrid or fully electric tractors, robotic machinery and drones could increase farm efficiency and revolutionize how food is produced. Although some of the technology in farming robots is similar to that of autonomous vehicles, it differs in that operations such as planting seeds, picking vegetables or fruits and localized application of pesticides have individual sensing, manipulation and processing requirements.

Artificial intelligence is helping farmers, doctors and rescue workers improve their positive impact on society. Artificial intelligence (AI) powers many gadgets, like smartphones, smart thermostats and voice-activated virtual assistants that bring modern conveniences to daily life. Increasingly, AI is also being used to tackle critical social challenges. AI is a branch of computer science where machines can sense, learn, reason, act and adapt to the real world, amplifying human capabilities and automating tedious or dangerous tasks. Some experts believe AI has the potential to spark a serious social revolution.

Hi Mehran, I'm Burak for Turkey and I'll try to make an impression on you, about ANN and Time Series, If I can of course:) When I was working on my graduate thesis at collage, I used to Backpropagation Network with Delta Bar Delta weight updating algorithm (offline and supervized learning). I forecast; Turkish Lira / USD Exchange Rates (Period: Daily, Range: 2002-2005 for Training, 2005-2006 for forecasting) I programmed this network on Visual Basic.Net and I'll tray to give an abstract of my results in here. I used many of types of ANNs and I decided to best way of the forecasting of time series are Feedforward Backpropagation Networks. And yes there are absolutely significant differences between ANN and other techniques espicially "When the relations of series are both not linear and unseenable easily" In Accordance With: Mean Error Criteria In Accordance With: Mean Absolute Error Criteria In Accordance With: Mean Squared Error Criteria In Accordance With: Mean Percentage Error Criteria In Accordance With: Mean Absolute Percentage Error Criteria I have given the most useful criterias that uses to performance analyzing of forecast. I hope you have the information about this criterias and you'll able to make comparsion of ANN and other models.

In the recent few years, it has been observed that the capability of conventional growth drivers viz. These traditional growth boosters are losing their aura in the process of trying hard to sustain the continuous ascend towards success, witnessed in the yesteryears in most developed countries. However, that is only one side of the coin, on the flip side; Artificial Intelligence (AI) is soaring up and has emerged as the new growth lever of production. Adding to its welfares, AI has also exhibited the potential to lead newer growth sources, revolutionize daily operations and reinforcing the role of people to drive growth in business. Authenticating these observations is a recent report by Accenture that clearly describes the impact of AI in 12 developed countries.

In the next 15 years, machines are expected to be able to drive cars, replace soldiers, work on the factory line building components, provide comprehensive customer service, run our financial services, translate and interpret text quicker than humans and and and (the list goes on and on). Machines are already writing articles for national newspapers (no, not this article) and the fear is that all jobs will go to robots. Around 40% of jobs will be gone by 2030 in the US, says analysts PwC, and 30% of jobs will go in the UK. This dystopian view of the future, the one of Terminator destruction rather than Iron Man superhuman powers, is something that artificial intelligence companies are very keen to distance themselves from. 'We use the term augmented intelligence [rather than artificial intelligence],' Paul Ryan, head of Watson Artificial Intelligence, IBM UK, tells Metro.co.uk at the AI Summit.

In just a few years, well-mannered self-driving robotaxis will share the roads with reckless, law-breaking human drivers. The prospect is causing migraines for the people developing the robotaxis. A self-driving car would be programmed to drive at the speed limit. A self-driving Uber car stops at a red light on Liberty Avenue through the Bloomfield neighborhood of Pittsburgh. In just a few years, well-mannered self-driving robotaxis will share the roads with reckless, law-breaking human drivers.

Shaokang Wang and his startup, Infervision, build algorithms that read X-ray images and identify early signs of lung cancer. The company's technology, Wang says, is already running inside four of the largest hospitals in China. Two are merely running tests, but according to Wang, the two others--Shanghai Changzheng and Tongji, both in Shanghai--are installing the technology across their operations. "It's installed on every doctor's machine," he says. To what extent these doctors are actually using the technology is another question.