In an excerpt from AI 2041: Ten Visions for Our Future, Kai-Fu Lee and Chen Qiufan explore what happens when deepfakers attack the deepfakes.
IN AI 2041: Ten Visions for Our Future, AI expert Kai-Fu Lee and coauthor Chen Qiufan answer the question “How will artificial intelligence change the world over the next 20 years?” Lee’s technical explanations sit alongside Chen’s fictional short stories to produce an exploration of the perils and possibilities of AI. This story, translated by Emily Jin, revolves around a Nigerian video producer who is recruited to make an undetectable deepfake. Touching on impending breakthroughs in computer vision, biometrics, and AI security, it imagines a future world marked by cat-and-mouse games between deepfakers and detectors, and between defenders and perpetrators. Read More
Tag Archives: Books
After Neoliberalism
At the heart of the new age are novel configurations of fear, certainty, and power.
Shoshana Zuboff. The Age of Surveillance Capitalism. Public Affairs, 2019.
Today there is no more powerful corporation in the world than Google, so it may be hard to remember that not too long ago, the company was in a fight for its very existence. In its early years, Google couldn’t figure out how to make money. … Google engineers were aware that users’ search queries produced a great deal of “collateral data,” which they collected as a matter of course. Data logs revealed not only common keywords, but also dwell times and click patterns. This “data exhaust,” it began to dawn on some of Google’s executives, could be an immensely valuable resource for the company, since the data contained information that advertisers could use to target consumers. Read More
Data Science & Machine Learning Book Available for Download
A comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science free for download. Read More
The AI Advantage: Is your business ready for artificial intelligence?
The news about artificial intelligence is mostly dominated by sensational stories such as the ominous threat of deepfakes, deep learning algorithms that create fake blogs, AI bots that create their own language, and generative adversarial networks that create realistic portraits of non-existent people.
But the practical use of AI algorithms is much farther behind than the hype caused by the media. Read More
The Best Machine Learning Books to Read in 2020
It doesn’t require a genius to know that Machine Learning (ML) and Data Science are increasingly hot topics. Deep Learning is even touted as one of the most critical skills of today.
That being said, deep learning isn’t something that can be acquired easily. Machine Learning consists of working with a large volume of data. Data- that needs to be organized, analyzed, and stored. Later, algorithms are formed so that the machine can recognize the pattern and predict future behavior without human intervention.
Knowing the complexity of this field, it is no surprise that there is any number of books written on Machine Learning. These are targeted towards not only newbies but also professionals at intermediate or expert level. Read More
AI-First: Transforming Yours into an AI-First Organization
AI is transforming every industry. Built on the tidal wave created by the Internet, Cloud Computing, and Big Data, AI promises to revolutionize the way we work at every level. Some fear that AI will replace jobs, but the truth is it will build better ways of doing things, leveraging the best both of humans and machines.
AI-First is a mindset, one which will enable you and your organization to tap into this revolution. While AI is being dominated by tech giants like Google, Facebook, Microsoft, and Amazon, every organization needs to decide how best to leverage the revolution.
This book shows leaders how to Launch the transformation — aiding them in identifying the right problems to solve, in developing successful data acquisition strategies, and in bringing together the tools and the talent to succeed. Read More
Top 10 Free Ebooks To Learn Data Science
Data science is one collective term that is on everyone’s mouth these days, with its applications now being used across big companies, research institutes, and college projects. Since data science is utilised in every sector these days, it is crucial to have a sound knowledge of this vast subject. Although a wide range of information can be found on any search engine, the wiser step is to read materials that have been carefully penned down by experts from the field and are available in the form of e-Books.Data science is one collective term that is on everyone’s mouth these days, with its applications now being used across big companies, research institutes, and college projects. Since data science is utilised in every sector these days, it is crucial to have a sound knowledge of this vast subject. Although a wide range of information can be found on any search engine, the wiser step is to read materials that have been carefully penned down by experts from the field and are available in the form of e-Books. Read More
74 Summaries of Machine Learning and NLP Research
My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time for a sequel.
Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019). They cover a wide range of different topics, authors and venues. These are not meant to be reviews showing my subjective opinion, but instead I aim to provide a blunt and concise overview of the core contribution of each publication. Read More
57 Summaries of Machine Learning and NLP Research
Staying on top of recent work is an important part of being a good researcher, but this can be quite difficult. Thousands of new papers are published every year at the main ML and NLP conferences, not to mention all the specialised workshops and everything that shows up on ArXiv. Going through all of them, even just to find the papers that you want to read in more depth, can be very time-consuming.
In this post, I have summarised 50 papers. After going through a paper, if I had the chance, I would write down a few notes and summarise the work in a couple of sentences. These are not meant as reviews – I’m not commenting on whether I think the paper is good or not. But I do try to present the crux of the paper as bluntly as possible, without unnecessary sales tactics. Hopefully this can give you the general idea of 50 papers, in roughly 20 minutes of reading time. Read More
The devil you know: trust in military applications of Artificial Intelligence
This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It is based on a chapter by the authors in the forthcoming book ‘AI at War’ and addresses the fifth question (part d.) which asks what measures the government should take to ensure AI systems for national security are trusted — by the public, end users, strategic decision-makers, and/or allies. Read More
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