Tag Archives: Artificial intelligence

19Apr/23

Artificial intelligence (AI) is changing the world

April 19, 2023 /Technology/ — Artificial intelligence (AI) is changing the world in many ways. It is already being used in a variety of industries, including healthcare, finance, and transportation. In the future, AI is expected to have an even greater impact on our lives.

Here are some of the ways that AI is changing the world: Continue reading

18Apr/23

The business and societal roles of Google and the wider search engine space set to evolve alongside generative AI tools

April 18, 2023 /Technology/ — Generative AI tools are set to revolutionize the search engine space. These tools can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are still under development, but they have the potential to change the way we interact with search engines.

One of the biggest ways that generative AI tools are set to change the search engine space is by making it easier to find information. Currently, search engines are limited by the amount of information that is available online. Generative AI tools, on the other hand, can be used to generate new information on demand. This means that users will be able to find information that is more relevant to their needs and interests.
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18Apr/23

Prompt Engineering, the art of crafting effective instructions for AI models

April 18, 2023 /Technology/– Prompt engineering is the art (not science) of crafting effective instructions for AI models. It is a relatively new field, but it is quickly becoming an essential skill for anyone who wants to work with AI models.

Prompt engineering is important because AI models are not always able to understand what we want them to do. They are trained on large datasets of text and code, but they do not have the same understanding of language as humans do. This means that we need to be very careful when we give them instructions.
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18Apr/23

ChatGPT: what the law says about who owns the copyright of AI-generated content

Sercan Ozcan, University of Portsmouth; Joe Sekhon, University of Portsmouth, and Oleksandra Ozcan, University of Portsmouth

The AI chatbot ChatGPT produces content that can appear to have been created by a human. There are many proposed uses for the technology, but its impressive capabilities raise important questions about ownership of the content.

UK legislation has a definition for computer-generated works. Under the Copyright, Designs and Patents Act 1988 they are “generated by computer in circumstances such that there is no human author of the work”. The law suggests content generated by an artificial intelligence (AI) can be protected by copyright. However, the original sources of answers generated by AI chatbots can be difficult to trace – and they might include copyrighted works.

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17Apr/23

The Stanford University report “The State of AI in 2023”

April 17, 2023 /Technology/ — The Stanford University report “The State of AI in 2023” provides a comprehensive overview of the field of artificial intelligence (AI). The report covers a wide range of topics, including AI research, AI applications, and the impact of AI on society.

Here are some of the key takeaways from the report: Continue reading

17Apr/23

The future of AI-powered disinformation

April 17, 2023 /MEDIA/ — The future of AI-powered disinformation is a concerning one. As AI technology continues to develop, it will become increasingly easy to create and spread false or misleading information. This could have a devastating impact on our society, as it could erode trust in institutions, undermine democracy, and lead to violence.

There are a number of ways in which AI could be used to spread disinformation. For example, AI could be used to create fake news articles, social media posts, and videos that are designed to look like they are from legitimate sources. AI could also be used to target people with personalized disinformation, based on their interests and beliefs.
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16Apr/23

Practical examples of combining Search Results with the Power of NLP (Natural Language Processing) and Semantic Knowledge

April 16, 2023 /Technology/ — We’ve all had that frustrating experience of trying to search for something and not finding the results we are after. By building systems that leverage NLP, we can infuse our systems with semantic knowledge and minimize this frustration for end users of our systems.
Free-text search can be limiting, requiring us to search using the exact set of keywords that have been indexed. To go beyond simple text matching requires an understanding of both the search intent and the semantic meaning of the words being searched.

Here are a few practical examples of combining search results with the power of NLP and semantic knowledge: Continue reading

13Apr/23

Raspberry Pi Receives Strategic Investment from Sony Semiconductor Solutions Corporation

Sony Semiconductor Solutions Corporation (“SSS”) and Raspberry Pi Ltd. (“RPL”) today announced the agreement by SSS to make a strategic investment in RPL. The minority investment cements the relationship between the two companies, to provide a development platform for SSS’s edge AI devices to the worldwide community of Raspberry Pi users. Continue reading

11Apr/23

Roche introduces navify® Algorithm Suite, a digital library of medical algorithms that enhances clinical decision-making to optimise patient care

Roche (SIX: RO, ROG; OTCQX: RHHBY) introduces its navify® Algorithm Suite, a single platform hosting a library of digital medical algorithms that generate patient-centric insights and can aid earlier diagnosis of cancer and other conditions per intended use, at the HIMSS Global Conference in Chicago, USA, from April 17- 21, 2023. Continue reading

03Apr/23

AI will soon become impossible for humans to comprehend – the story of neural networks tells us why

David Beer, University of York

In 1956, during a year-long trip to London and in his early 20s, the mathematician and theoretical biologist Jack D. Cowan visited Wilfred Taylor and his strange new “learning machine”. On his arrival he was baffled by the “huge bank of apparatus” that confronted him. Cowan could only stand by and watch “the machine doing its thing”. The thing it appeared to be doing was performing an “associative memory scheme” – it seemed to be able to learn how to find connections and retrieve data.

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