“Success in creating effective A.I.,” said the late Stephen Hawking, “could be the biggest event in the history of our civilization. Or the worst. We just don’t know.” Are we creating the instruments of our own destruction or exciting tools for our future survival? Once we teach a machine to learn on its own – as the programmers behind AlphaGo have done, to wondrous results – where do we draw moral and computational lines? In this video, leading specialists in A.I., neuroscience, and philosophy tackle the very questions that may define the future of humanity.
AI is the future – but what will that future look like? Will superhuman intelligence be our slave, or become our god? Taking us to the heart of the latest thinking about AI, Max Tegmark, author of the book “Life 3.0 – Being Human in the Age of Artificial Intelligence” and the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to explore the next phase of our existence. How can we grow our prosperity through automation, without leaving people lacking income or purpose? How can we ensure that future AI systems do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will AI help life flourish as never before, or will machines eventually outsmart us at all tasks, and even, perhaps, replace us altogether?
The power of modern AI is now available for makers, learners, and embedded developers everywhere, for just $99. At the GPU Technology Conference this week, NVIDIA announced the Jetson Nano™ Developer Kit – a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. If you would like to know more about Jetson Nano, I have a couple of videos for you.
We live in an age of rapid technological advances where artificial intelligence is a reality, not a science fiction. Every day we rely on algorithms to communicate, do our banking online, book a holiday – even introduce us to potential partners. Driverless cars and robots may be the headline makers, but artificial intelligence is being used for everything from diagnosing illnesses to helping police predict crime hot spots. As machines become more advanced, how does society keep pace when deciding the ethics and regulations governing technology? To address this question, this article explores the ethical dilemma surrounding the use of artificial intelligence and autonomous technology.
Some of the world’s largest carmakers see autonomous driving and the shared economy as potential game changers for the automotive industry. And as a result, the automotive industry is at an arms race to create fully driverless vehicles. But are we ready for the ride? To address this question, this article explores the current state of play of fully autonomous vehicles and what a driverless world could look like.
The media is abuzz with stories of how Artificial Intelligence (AI) is already having a remarkable impact on science, technology and people’s lives. But do we really understand how AI is helping us now, and more importantly what it might mean for our imminent future? To answer this question, let’s examine some of the recent breakthroughs and challenges in the field of artificial intelligence, and use that insight to explore where this technology can go from here.
Many in the developed world are still unaware – or in denial. Others debate the future of work, data privacy concerns and ethical boundaries surrounding the use of modern day technology (and rightly so). But in China, artificial intelligence is developing at an unprecedented speed, and it is step-by-step becoming integrated with industrial production and social life. This article aims to provide an insightful look at how artificial intelligence is advancing in China, and perhaps offer an explanation for Donald Trump’s executive order this week outlining his administration’s plans to prioritise artificial intelligence.
A couple of weeks back, I wrote an article about “Machine learning applications in banking”. In this article, I take that discussion a step further by focussing on what some of the industry leaders, policy makers and supervisors in the financial services sector have to say about emerging technologies, such as machine learning and artificial intelligence, and how they see the future of the industry evolving as more and more financial institutions adopt these disruptive technologies.
Mobile supercomputing. Artificially-intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. The evidence of dramatic change is all around us and it’s happening at exponential speed. Previous industrial revolutions liberated humankind from animal power, made mass production possible and brought digital capabilities to billions of people. This Fourth Industrial Revolution is, however, fundamentally different. It is characterised by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human. To explain what this all means, I have complied a collection of videos that describe the challenges that lie ahead for the workers of the planet. More specifically, the video collection covers the following topics:
– What is the fourth industrial revolution?
– The future of work: will our children be prepared?
– Automation is entering white-collar job, but some are also fighting back by learning how to code.
– What will the future of our jobs look like?
– Will you lose your job to automation?
– The big debate about the future of work.
– The digital future of work: what skills will be needed?
– How AI can save our humanity.
– McKinsey’s Gary Pinkus on the future of work
The global population is set to reach 9.7 billion by 2050; and as a result, the challenge of producing enough food to meet human demand has never been greater. Feeding an ever growing population also requires efficient ways to maintain crops and animals. In more developed parts of the world, farmers are finding these efficiencies with the aid of modern technology. For example, a dairy farmer today can mount AI-powered cameras in the barns to monitor the cows. Over time, the cameras learn to recognise the cows individually (facial recognition!) and then continuously checks them for signs of disease or other issues. The AI also flags any changes in the eating habits or weight gains, so that the farmer can tend to the cows on demand, saving them time, money and energy.
Many researchers believe that by the year 2026, technology like the one above will be used in almost every aspect of farming. But what will that future really look like, and how will it change our farming communities? In this article, I present a collection of YouTube videos that capture some of the recent technological innovations in farming – that perhaps offer a glimpse of what the future of our farming industry may look like.