The combination of 5G, artificial intelligence (AI), smart platforms and the Internet of Things (IoT) form the basis of what we call ‘Intelligent Connectivity’. With more than 5.1 billion unique subscribers and nearly 9 billion connections globally, mobile is already one of the most widely deployed technology platforms ever. However, Intelligent Connectivity takes this further and marks the beginning of an era of highly contextualised and personalised experiences, underpinned by ubiquitous hyper connectivity. It is set to impact almost every aspect of our daily lives from the way we consume entertainment to the way in which we learn and interact with colleagues. It will give people the information they need in an instant making our lives more productive and efficient. It will impact how entire industries innovate and operate, how societies interact and thrive and how economies flourish. Read More
Monthly Archives: June 2019
Six Reasons Why We Haven't Seen Full AI Adoption
On one hand, we know AI is the future of business. After all, manpower simply isn’t fast enough to keep up with the pace of consumer demand. That said, there’s a big difference between knowing AI is the future and actually implementing AI within your business successfully. That latter part—AI adoption—is where many companies are finding themselves stuck.
No one said digital transformation would be easy—but you’re not alone if you assumed AI adoption would be a cakewalk. Today’s AI is a miracle worker. If it can translate languages, process invoices, and change marketing messages in real time, it must be a magic bullet. Right? Except when it comes to implementation. Yes, AI is meant to make your business life easy. But real-life conditions don’t always cooperate. If your company has been less than successful in its AI efforts, you are not alone. The following are a few reasons that I see AI adoption failing to reach full-penetration in businesses around the globe. Read More
AI Reading List
For newcomers to the field of artificial intelligence, prioritizing among endless AI resources can be an overwhelming challenge. This list attempts to do exactly that: it’s a carefully curated compilation of resources for getting up to speed quickly on key topics in artificial intelligence research and its long-term implications.
The list is divided into “80/20” sections with a few high-priority readings, for maximum value with minimal time investment, and “deep dive” sections for further exploration. Read More
Building the AI-Powered Organization
Artificial intelligence is reshaping business—though not at the blistering pace many assume. True, AI is now guiding decisions on everything from crop harvests to bank loans, and once pie-in-the-sky prospects such as totally automated customer service are on the horizon. The technologies that enable AI, like development platforms and vast processing power and data storage, are advancing rapidly and becoming increasingly affordable. The time seems ripe for companies to capitalize on AI. Indeed, we estimate that AI will add $13 trillion to the global economy over the next decade.
Yet, despite the promise of AI, many organizations’ efforts with it are falling short. We’ve surveyed thousands of executives about how their companies use and organize for AI and advanced analytics, and our data shows that only 8% of firms engage in core practices that support widespread adoption. Most firms have run only ad hoc pilots or are applying AI in just a single business process. Read More
A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
A standard model captures a community consensus over a coherent region of science, serving as a cumulative reference point for the field that can provide guidance for both research and applications, while also focusing efforts to extend or revise it. Here we propose developing such a model for human like minds, computational entities whose structures and processes are substantially similar to those found in human cognition. Our hypothesis is that cognitive architectures provide the appropriate computational abstraction for defining a standard model, although the standard model is not itself such an architecture. The proposed standard model began as an initial consensus at the 2013 AAAI Fall Symposium on Integrated Cognition, but is extended here via a synthesis across three existing cognitive architectures: ACT-R, Sigma, and Soar. The resulting standard model spans key aspects of structure and processing, memory and content, learning, and perception and motor; highlighting loci of architectural agreement as well as disagreement with the consensus while identifying potential areas of remaining incompleteness. The hope is that this work will provide an important step towards engaging the broader community in further development of the standard model of the mind. Read More
The evolution of cognitive architecture will deliver human-like AI
There’s no one right way to build a robot, just as there’s no singular means of imparting it with intelligence. Last month, Engadget spoke withCarnegie Mellon University associate research professor and the director of the Resilient Intelligent Systems Lab, Nathan Michael, whose work involves stacking and combining a robot’s various piecemeal capabilities together as it learns them into an amalgamated artificial general intelligence (AGI). Think, a Roomba that learns how to vacuum, then learns how to mop, then learns how to dust and do dishes — pretty soon, you’ve got Rosie from The Jetsons.
But attempting to model an intelligence after either the ephemeral human mind or the exact physical structure of the brain (rather than iterating increasingly capable Roombas) is no small task — and with no small amount of competing hypotheses and models to boot. In fact, a 2010 survey of the field found more than two dozen such cognitive architectures actively being studied. Read More
Meet Hemingway: The Artificial Intelligence Robot That Can Copy Your Handwriting
The everyday tasks that humans often take for granted, such as walking and handwriting, have, until recently, been challenging to program a robot to do.The Handwriting Company now has a robot that can create beautifully handwritten communication that mimics the style of an individual’s handwriting while a robot from Brown University can replicate handwriting from a variety of languages even though it was just trained on Japanese characters. Achieving this milestone of robotic capabilities was quite a feat for the researchers and roboticists behind the scenes and the machine learning algorithms that power the robots’ skills. Let’s review what’s currently possible today and what might be in store for the future with robots creating handwritten text. Read More
An alliance is being forged between 5G and artificial intelligence
The proposed vision for 5G technology is revolutionary, and its architecture truly innovative. It offers features that enhance not only network performance, but also the way networks are built and deployed. This is an essential aspect because one of the drivers for 5G is the reduction in both CAPEX and OPEX, which will open the door for more players offering more innovative business models.
Today, an alliance is being forged between 5G and artificial intelligence (AI) that together will be pillars of the digital transformation of millions of businesses around the globe. 5G’s technological proposition is aimed at closing the cycle on the network convergence between fixed and mobile. This means that 5G architectures and technology will allow the migration of all the services that are today dependent of fixed connections (namely fibre) to mobile (ubiquitous) connectivity, enhancing the existing portability to become true mobility of services. Read More
Disposable Technology: A Concept Whose Time Has Come
Imagine…imagine that you have been challenged to play Steph Curry, the greatest 3-point shooter in the history of the National Basketball Association, in a game of 1×1. Yea, a pretty predictable outcome for 99.9999999% of us.
But now image that Steph Curry has to wear a suit of knight’s armor as part of that 1×1 game. The added weight, the obstructed vision, and the lack of flexibility, agility and mobility would probably allow even the average basketball player to beat him.
Welcome to today’s technology architecture challenge! Read More
Rick's Cafe AI 