The intelligence of machines and the branch of computer science which aims to create it

Artificial Intelligence Journal

Subscribe to Artificial Intelligence Journal: eMailAlertsEmail Alerts newslettersWeekly Newsletters
Get Artificial Intelligence Journal: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Top Stories

In the 67 years since Alan Turing proposed his Imitation Game - the infamous ‘Turing test' for artificial intelligence (AI) - people have been confused over the very purpose of AI itself. At issue: whether the point of AI is to simulate human behavior so seamlessly that it can fool people into thinking they are actually interacting with a human being, rather than a piece of software. Such deception was never the point of Turing's exercise, however. Rather, he realized that there was no way to define true intelligence, and thus no way to test for it. So he came up with the game as a substitute - something people could theoretically test for. Regardless of Turing's intentions, setting the bar for AI based on its ability to snooker an audience has become fully ingrained in our culture, thanks in large part to Hollywood. The AI We Love - and Love to Hate Ever since the... (more)

From Science to Art: Making Machine Learning Approachable | @CloudExpo #AI #ML #Cloud

From Science to Art: Making Machine Learning Approachable By Sundeep Sanghavi The high barrier to entry prevents many companies from tapping into the full potential of machine learning. But what if you could make it more accessible? We’re in the midst of a data explosion, with today’s enterprises amassing goldmines of information (25 quintillion bytes of data every day, according to some reports). But what exactly are they doing with this data? Considering the volume of data being collected is quickly becoming unmanageable, now is a good time to shift from manual machine learning to a cognitive approach. This enables businesses to better capitalize on their data and facilitate agile decision-making. At this point, much of the discussion around machine learning has pivoted from adoption to how to simplify the adoption and implementation process. Many enterprises are ... (more)

[video] Cloud Evolution | @CloudExpo @IBMcloud‏ #DX #AI #ML #Cloud

View Opening Keynote: ▸ Here Cloud Evolution In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. View Opening Keynote: ▸ Here Speaker Bio John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM's public cloud infrastructure including strategy, development, and offering management. To date, IBM has launched more than 50 cloud data centers that span the globe. He has been building advanced technology, delivering "as a service" solutions, and managing infrastructure services for the past 20 years. John joined IBM in 2015 as the Vice President of the IBM Cloud... (more)

What Is Intelligent Automation | @CloudExpo #AI #Cloud #DevOps #Automation

What Is Intelligent Automation and What Does It Mean for Workload Automation? By Yann Guernion While Artificial Intelligence (AI) may not be a new concept, its contribution to automation may just change the face of business. AI's conception dates as far back as 1950, when Alan Turing proposed the Turing test in order to evaluate a machine's ability to exhibit intelligent behavior. Fast-forward a couple of decades and research led to the creation of well-known theoretical tools such as Fuzzy Logic, Bayesian Networks, Markov Models and Neural Networks. Concurrently, new types of programming languages such as Prolog, LISP and Smalltalk set the scene for most of the modern interpreted languages used today. Today's focus on AI is driven by a remarkable synchronicity of elements that one could call an alignment of the (digital) planets: Big data makes massive amounts of u... (more)

[slides] Leveraging AI for Mobile Enterprise Apps | @CloudExpo #DX #Chatbots #ArtificialIntelligence

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Leveraging AI for Mobile Enterprise Applications Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophisticated patterns, and chatbots replace the traditional mobile apps. Download Slide Deck: ▸ Here In his session at 21st Cloud Expo, Michael Meiner, an Engineering Director at Oracle, looked at this evolution of mobile computing, along with the underlying enterprise technolog... (more)

Unintended Consequences of the Wrong Measures | @ExpoDX #DX #AI #BigData #Analytics

In an attempt to put the patient first in healthcare, Congress and President Obama in 2015 approved a bipartisan bill for United States healthcare reform. The bill is known as “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA. Among the major provisions of MACRA is the Quality Payment Program. Under the Quality Payment Program, physicians and nurses receive positive, neutral or negative Medicare payment adjustments based upon a “Patient Satisfaction Score,” that is, patient satisfaction scores have a direct impact on how physicians, physician assistants, nurses, and hospital’s get paid by Medicare. Managing the broader healthcare goal of “Improving the Quality and Effectiveness of Patient Care” from a single, highly generalized measure is a major concern for physicians and hospitals. These “patient satisfaction scores” can drive unintended patient tr... (more)

[slides] Modernize Your Applications | @CloudExpo @InteractorTeam #DX #AI #IoT #SDN

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Modernize Your Applications Through Novel Abstractions and Configurations Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. Download Slide Deck: ▸ Here In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ecosystem, tweaking existing software to stitch various components together leads to sub-optimal solutions. This definitely deserves a re-think, and paves the way for a new breed of lightweight application servers that ... (more)

Artificial Intelligence, Competition and Balloons | @ExpoDX #AI #IoT #M2M #DigitalTransformation

W. Edward Deming taught that quality is achieved by measuring as much as possible and reducing variations, and reducing variation is achieved by improving the system, not just pieces.  Japan widely adopted Deming's philosophies in the 1950s and became the 2nd biggest economy in the world.  Quality improvement didn't decrease jobs in Japan, it increased jobs. AI now has the ability to expand and codify Deming's philosophies - to take them to the next level. AI can improve and standardize decision making based on logic, rather than the fear of missing objectives, bonuses or losing one's job.  It can continuously monitor for quality against specifications by analyzing streams of real-time data coming from embedded sensors connected to the IIoT, IoT and IoA (internet of agriculture).  This means companies that are aggressive early adopters of these digital technologies w... (more)

Becoming Bionic - My Experience | @ExpoDX #DX #ML #ArtificialIntelligence

I recently became a bionic man. I have one good ear and one bad ear as a result of flying around while suffering colds and flus over the years, and with only one good ear it makes it difficult to hear a conversation in a noisy room, so I went looking for a high-tech digital solution. For the last couple of years I have been watching the start-up, Doppler Labs, as they developed their earbuds that were purported to have great sound, but also to enhance hearing.  This month after reading about their latest software release, I ordered a pair to try. There were three reasons I wanted to try Doppler Labs' HearOne Wireless Smart Earbuds. First because their goal was to enhance hearing for a few hundred dollars, rather than for many thousands of dollars that the hearing aid industry charges; second, they were building artificial intelligence (AI) into their earbuds; and thi... (more)

AI, Combined Actions and Digital Strategies | @ExpoDX #AI #Cloud #DigitalTransformation

Fingerspitzengefühl: A German word used to describe the ability to maintain attention to detail in an ever-changing operational and tactical environment by maintaining real-time situational awareness. The term is synonymous with the English expression of "keeping one's finger on the pulse".  The problem with fingerspitzengefühl traditionally, in addition to pronouncing it, has been it is hard for an individual to scale up. Today that is changing.  In a world of sensors, AI and mobile devices, having real-time situational awareness is far easier than ever before.  In fact, today the challenge is not how to do it, but what to do with the massive volume of data that can be provided. Data comes from many different sources, especially considering field services where work is often mobile, remote and dynamic.  If more data can be captured and added to a typical GPS coordi... (more)

[session] Machine Learning Intro for Anyone and Everyone | @CloudExpo @BigDataTrunk #ML #AI #Cloud

Machine Learning Intro for Anyone and Everyone In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, will provide a fun and simple way to introduce Machine Leaning to anyone and everyone. Together we will solve a machine learning problem and find an easy way to be able to do machine learning without even coding. Speaker Bio Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Big Data teams at Autodesk. He is a contributing author of book on Azure and Big Data published by SAMS. 21st International Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the... (more)