New AI Strategy Mimics How Brains Learn to Smell

Today’s artificial intelligence systems, including the artificial neural networks broadly inspired by the neurons and connections of the nervous system, perform wonderfully at tasks with known constraints. They also tend to require a lot of computational power and vast quantities of training data. That all serves to make them great at playing chess or Go, at detecting if there’s a car in an image, at differentiating between depictions of cats and dogs. “But they are rather pathetic at composing music or writing short stories,” said Konrad Kording, a computational neuroscientist at the University of Pennsylvania. “They have great trouble reasoning meaningfully in the world.”

To overcome those limitations, some research groups are turning back to the brain for fresh ideas. Read More

#human, #neural-networks

Foundations Built for a General Theory of Neural Networks

When we design a skyscraper we expect it will perform to specification: that the tower will support so much weight and be able to withstand an earthquake of a certain strength.

But with one of the most important technologies of the modern world, we’re effectively building blind. We play with different designs, tinker with different setups, but until we take it out for a test run, we don’t really know what it can do or where it will fail.

This technology is the neural network, which underpins today’s most advanced artificial intelligence systems. Read More

#human, #neural-networks

On-device AI emerging as the true evolution of artificial intelligence solutions

Mobile is fast becoming the largest AI platform in the world, as we plunge full-speed-ahead into an era of trillions of connected devices, from automobiles to HD cameras, smartphones, wearables, and other IoT devices. With new capabilities for existing solutions, on-device AI makes them all smarter and faster, as well as making brand-new innovations possible. That could mean smarter assistants, safer cars, enhanced security, leaps in robotics, an evolution in health care solutions, and more.

Machine learning and data processing in the cloud won’t go away, but on-device AI delivers personalized experiences with some tremendous benefits, including hugely improved performance, especially for those AI use cases that can’t afford even a microsecond lag: think auto safety. On-device AI boosts privacy and security, protecting sensitive data like voice ID and face scans that could be compromised in the cloud. And when your AI power is in your hand or at your fingertips, reliability is no longer an issue of network availability or bandwidth. Read More

#iot

Top 10 Artificial Intelligence Trends in 2019

Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intelligence will drive nearly $2 trillion worth of business value worldwide in 2019 alone. Hence, that’s an excellent incentive to grab a slice of the AI bounty. Also, fortune favors those who get an early start. Therefore, the laggards might not be so fortunate.

Artificial Intelligence (AI) is the rage now, but like all things tech, it is in a continuous state of evolution. Here is how Artificial Intelligence is expected to play out in 2019. Read More

#investing

A Technologist’s Perspective on AI Investing

Investing in Artificial Intelligence ventures is not for the faint of heart. In addition to the technology being complex and rapidly evolving, tech journalism routinely portrays AI in sensationalistic or grandiose terms, adding to the overall confusion and anxiety. This paper cuts through the hype, puts AI into broader perspective, and suggests a framework that will help investors decide which AI investments to back and which to avoid. Read More

#investing

The Ethics of Artificial Intelligence

Artificial intelligence is one of the buzzwords of early 21st century culture. The advent of semi-intelligent tools is rapidly transforming human life, and at the same time the nature and scope of these tools is poorly understood. There is an immediate need to develop a practical framework for building and using AI ethically. In order to do so, we must clarify the nature of the relationship between humans, the tools we use, and the tasks we perform.

While the needs and values of different cultures vary a great deal, the question of what and how we automate is the same as the question of what kind of society we want. AI poses unique dangers and also great opportunities. Navigating this complex landscape requires that we keep human outcomes central to our thinking and design. Read More

#ethics

Google cancels AI ethics board in response to outcry

This week, Vox and other outlets reported that Google’s newly created AI ethics board was falling apart amid controversy over several of the board members.

Well, it’s officially done falling apart — it’s been canceled. Google told Vox on Thursday that it’s pulling the plug on the ethics board.

The board survived for barely more than one week. Founded to guide “responsible development of AI” at Google, it would have had eight members and met four times over the course of 2019 to consider concerns about Google’s AI program. Those concerns include how AI can enable authoritarian states, how AI algorithms produce disparate outcomes, whether to work on military applications of AI, and more. But it ran into problems from the start. Read More

#ethics

Google dissolves AI ethics board just one week after forming it

Google today disclosed that it has dissolved a short-lived, external advisory board designed to monitor its use of artificial intelligence, following a week of controversy regarding the company’s selection of members. The decision, reported first today by Vox, is largely due to outcry over the board’s inclusion of Heritage Foundation president Kay Coles James, a noted conservative figure who has openly espoused anti-LGBTQ rhetoric and, through the Heritage Foundation, fought efforts to extend rights to transgender individuals and to combat climate change. Read More

#ethics

Microsoft AI principles

Designing AI to be trustworthy requires creating solutions that reflect ethical principles that are deeply rooted in important and timeless values. Read More

#ethics