When Mark Zuckerberg told Congress Facebook would use artificial intelligence to detect fake news posted on the social media site, he wasn't particularly specific about what that meant. Given my own work using image and video analytics, I suggest the company should be careful. Despite some basic potential flaws, AI can be a useful tool for spotting online propaganda – but it can also be startlingly good at creating misleading material. Researchers already know that online fake news spreads much more quickly and more widely than real news. My research has similarly found that online posts with fake medical information get more views, comments and likes than those with accurate medical content.

About this course: How can we use computers to create expressive, compelling music? And how can we write computer software to help us create and organize sounds in new ways? This course provides a hands-on introduction to the field of music technology as both a creative musical practice and an interdisciplinary technical research pursuit. Students will be able to compose music in digital audio workstation software using both audio and symbolic representations; to write code to algorithmically generate music, analyze sound, and design sound; and to describe the essential theory and history behind these activities as well as their connection to cutting-edge computer music research. Through the exploration of topics such as acoustics, psychoacoustics, digital sound, digital signal processing, audio synthesis, spectral analysis, algorithmic composition, and music information retrieval, we will explore the deep relationships between art and science, between theory and practice, and between experimental and popular electronic music.

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Science fiction has long been criticised for its lack of racial diversity and inclusion. It's rare to see a lead character who isn't white. One study of the top 100 highest-grossing films in the US showed that just eight of those 100 movies had a non-white protagonist, as of 2014. Six of those eight were Will Smith, according to diversity-focused book publisher Lee and Low Books. The long-term exclusion of people of colour from science fiction offers up an interesting paradox.

This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.

Bidirectional LSTMs are a powerful tool for text representation. On the other hand, they have been shown to suffer various limitations due to their sequential nature. We investigate an alternative LSTM structure for encoding text, which consists of a parallel state for each word. Recurrent steps are used to perform local and global information exchange between words simultaneously, rather than incremental reading of a sequence of words. Results on various classification and sequence labelling benchmarks show that the proposed model has strong representation power, giving highly competitive performances compared to stacked BiLSTM models with similar parameter numbers. 1 Introduction Neural models have become the dominant approach in the NLP literature. Compared to handcrafted indicator features, neural sentence representations are less sparse, and more flexible in encoding intricate syntactic and semantic information. Among various neural networks for encoding sentences, bidirectional LSTMs (BiLSTM) (Hochreiter and Schmidhuber, 1997) have been a dominant method, giving state-of-the-art results in language modelling (Sundermeyer et al., 2012), machine translation (Bahdanau et al., 2015), syntactic parsing (Dozat and Manning, 2017) and question answering (Tan et al., 2015). Despite their success, BiLSTMs have been shown to suffer several limitations.

During the first industrial revolution, workers flocked in the cities in masses because of the factories that were coming up. Individual craftsmen were kicked out of business because of manufacturing, and this allowed consumers to access cheaper products much faster. Although some workers were replaced, new jobs were created and as time passed by, employment levels rose up to all-time highs. It is with certainty that technology will eliminate very many jobs, from a few million to more than a billion. According to Andrew Charlton, "This huge variance is due to the fact that we are not yet sure about the number of jobs that robots will take over in the next couple of years; we are not sure where technology will be headed."

Kimera Systems officially launches their ambassador program and CEO, Mounir Shita talks about the process and results. TOKEN SALE IS NOW LIVE: https://kimera.ai/ Kimera Systems is an advanced artificial intelligence company that has developed the world's first Artificial General Intelligence. AGI is different from other artificial intelligence, because it can think and reason the way humans do. During Kimeras travel around the world, we will promote our Initial Coin Offering (ICO) to help bring this technology to the world.

In this post, Principal Consultant/ADM Larry Duff discuss some ethical challenges in Artificial Intelligence. Artificial intelligence has been a dream of computer scientists for many years. I remember my early days of programming I had a Commodore Pet. I was excited that I had a book of programs, I typed them in and saved to my tape drive. One of those programs was ELIZA.

Listen to this podcast on iTunes, Soundcloud or wherever you find your favorite content. Does the future of digital trust lie in artificial intelligence (AI)? Join the conversation between Valerie Bradford, product marketing manager at IBM Security, and Andras Cser, vice president and principal analyst serving security and risk professionals at Forrester, to discover how AI is changing the landscape of digital identity. Listen now to discover why organizations are relying on identity trust as the foundation of the digital customer journey and how to stay ahead of evolving fraud attacks. If you enjoyed listening, please consider rating the podcast or leaving your feedback on iTunes.