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Join us to learn how to build the next generation of applications, improve your productivity, and boost your generative AI skills at Google Cloud Applied AI Summit, a digital event on Wednesday, December 13, at 10 AM PST. Continue reading |
June 16, 2023 /Developers/ — Sentiment analysis is the process of determining the emotional tone of a piece of text. It is a subfield of natural language processing (NLP) that deals with identifying and extracting subjective information from text. Sentiment analysis is often used to understand customer sentiment, brand reputation, and social media trends.
There are two main types of sentiment analysis: Continue reading
May 1, 2023 /Technology/ — Artificial intelligence (AI) can be a valuable tool for data exploration. It can help to increase speed, improve accuracy, and reduce costs. However, it is important to note that AI is not a replacement for human analysts. AI can help to automate tasks, but it is still important for human analysts to be involved in the data exploration process to ensure that the results are accurate and meaningful. AI is used in data exploration in a variety of ways. Some of the most common uses include:
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April 21, 2023 /Technology/ – On April 20, 2023, Google announced that it would be merging its two main artificial intelligence research units, Google Brain and DeepMind, into a new unit called Google AI. The new unit will be led by Jeff Dean, who is currently the lead of Google Brain.
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April 19, 2023 /Technology/ — A large language model (LLM) is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can be anything from books and articles to social media posts and code. LLMs are able to learn the statistical relationships between words and phrases, which allows them to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LLMs can be used for a variety of tasks, including: Continue reading
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.
By Samuel Woodhams | Digital rights researcher and journalist
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Algorithms to determine welfare payments and detect fraud are becoming standard practice around the world. From Manchester to Melbourne, peoples’ lives are being shaped by secretive tools that determine who is eligible for what, and how much debt is owed. Although the technology has been around for some time, the outbreak of COVID-19 renewed enthusiasm for the digital welfare state and, for thousands of cash-strapped public bodies, the promise of increased efficiency and lower costs has proven irresistible. |
Robert Donoghue, University of Bath and Tiago Vieira, European University Institute
The 1999 cult classic film Office Space depicts Peter’s dreary life as a cubicle-dwelling software engineer. Every Friday, Peter tries to avoid his boss and the dreaded words: “I’m going to need you to go ahead and come in tomorrow.”