How have publishers evolved and what do they see ahead? Amid rising fears that artificial intelligence (AI) will threaten journalists' jobs and take over the newsroom, the Journalism AI report – a project by Polis in collaboration with Google News Initiative – sought to find out how exactly AI technologies are being applied to journalism. However, AI is a'significant part of journalism already but it is unevenly distributed' and news organizations are already applying aspects of intelligent technology in their operations, to help them work more efficiently and improve monetization. "One of the key aspects of AI and journalism is that it allows the whole journalism model to become more holistic, with a feedback loop between the different parts of the production and dissemination process" Artificial intelligence systems can be useful in helping newsrooms to categorize content or information at scale for different news gathering purposes. For example, since 2015 The Associated Press have been using a management tool, SAM, which algorithmically sifts through social media platforms to alert the newsroom on likely breaking news events.

Data has been hailed as the new gold, oil, and soil, out of which invaluable products, services, and progress shall arise. That may be true, but the fact of the matter is that data is just symbols, mostly numbers: zeros and ones. This applies even to the most complex algorithms, and most of what we mean when we talk about AI is classification software that assigns zeros or ones to match different variables or predict patterns at scale. To be sure, in most relevant areas of life, we still need human expertise to translate data into insights, and the willingness to act on those insights is what ultimately makes someone data-driven. Data without insights is meaningless, and insights without action are pointless.

Gurugram-based deeptech startup FlixStock has raised $2.5 Mn in a funding round led by early-stage venture capital firm Wavemaker Partners. Singapore-based Seeds Capital and Leo Capital also participated in the funding round. With the recently raised funds, FlixStock is planning to open a research centre in Singapore which will enhance its artificial intelligence (AI) based image creating platform. FlixStock, which also has an office in Los Angeles, is also planning to ramp up its presence in the US as well. Founded by Harindar Keer, FlixStock helps its clients create catalogue images based on their products.

AI has proven to have a considerable impact on some major industries. While autonomous cars and virtual assistants are slowly becoming a reality, the creative industry has been experimenting with AI for several years already. Does it have meaningful implications and if so, what will it bring in the future? It's universally agreed that the first computer-assisted music score dates back to 1957 when composers Lejaren Hiller and Leonard Isaacson unveiled Illiac Suite for string quartet. Utilizing the interconnection between mathematics and music, Hiller was able to program the computer to come up with a stunning four-piece musical score. One of the most notable AI-assisted music projects happened two years ago.

Graph neural networks (GNNs) have been used effectively in different applications involving the processing of signals on irregular structures modeled by graphs. Relying on the use of shift-invariant graph filters, GNNs extend the operation of convolution to graphs. However, the operations of pooling and sampling are still not clearly defined and the approaches proposed in the literature either modify the graph structure in a way that does not preserve its spectral properties, or require defining a policy for selecting which nodes to keep. In this work, we propose a new strategy for pooling and sampling on GNNs using graphons which preserves the spectral properties of the graph. To do so, we consider the graph layers in a GNN as elements of a sequence of graphs that converge to a graphon. In this way we have no ambiguity in the node labeling when mapping signals from one layer to the other and a spectral representation that is consistent throughout the layers. We evaluate this strategy in a synthetic and a real-world numerical experiment where we show that graphon pooling GNNs are less prone to overfitting and improve upon other pooling techniques, especially when the dimensionality reduction ratios between layers is large.

Chatbots have driven the Media and entertainment industry by being able to deliver personalized content, new media opportunities and increase the effectiveness of communication on any platform in this age of the millennials viewership across digital channels have increased, there are different genres, time slots, and these are also available on the web via connected devices. Chatbots help audiences get proper knowledge of the information that they are seeking.

Music Transformer is an open source machine learning model from our research group that can generate long musical performances. We find it interesting to see what these models can and can't do, so we made an app to make it easier to explore and curate the model's output. If you listen to a bunch of samples, you'll probably find that most compositions (like a lot of fully AI-generated music) are nowhere near as good and interesting as what people compose. We just thought it would be fun to showcase the large spectrum of quality and musical style in the piano pieces that can be generated. We hope you'll enjoy listening and remixing them in your own music!

These "chips" let you game on your PC, navigate a car or improve your daily life with artificial intelligence algorithms. They're the most complex devices manufactured. And it takes the world's most advanced manufacturing technologies and the expertise of thousands of engineers, technicians and architects to create them. A new animated video, "How Intel Makes Chips: Concept to Customer," offers a simple overview of the manufacturing process – from design engineering through mask operations and assembly and testing – to create these tiny but fiendishly complex devices.

Innovation can come from the most unexpected of places and perhaps the last place you would expect digital innovation within the insurance sector to develop is a law firm. And yet, with the launch of its separate technology-driven arm, Kennedys IQ, global insurance law firm Kennedys has placed itself among the most transformative digital companies impacting the development of the insurance sector today. Speaking with Insurance Business, partner and head of the innovations group at Kennedys and board director of Kennedys IQ, Richard West (pictured above), outlined how the unveiling of Kennedys IQ, which combines human and machine intelligence to offer clients'Kennedys, without the lawyers', has been a natural next step in producing innovative software for clients. The journey started 10 years ago with Kennedys' virtual lawyer, KLAiM, which, West said, is essentially the great grandfather of this latest innovation offered by the company. It has come to fruition from Kennedys' ambition of ensuring that lawyers are only used in the insurance sector when strictly necessary.

The field of artificial intelligence has grown leaps and bounds since Logic Theorist, the first program to mimic human problem-solving skills, was built in 1955 by Herbert Simon, Allen Newell, and John Shaw. Not even a century after its unveiling at the 1956 Dartmouth Summer Research Project on Artificial Intelligence conference--where the term "artificial intelligence" was coined--AI-powered computers are already writing sci-fi screenplays from scratch and "robot journalists" are creating content in record time for the Associated Press. AI and content are a winning combination for any modern marketing department that needs to crank up the quantity of their content without sacrificing its quality. Keep reading to learn more about the practical applications of AI for content marketing and how to get it right. Artificial intelligence, or AI, refers to the capability of a machine to mimic human cognitive activities.