Tag Archives: Machine learning

01May/23

Quickly extract key insights from complex data

May 1, 2023Developers.google, Apache Spark, Cloud analytics, Cloud computing, Computing, Data visualization, Digital technology, Google Cloud Dataproc, Google Cloud Platform, Graph database, Hadoop, Machine learning, Web servicesadmin

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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21Apr/23

Google merges Brain, DeepMind into new unit that will focus on artificial intelligence

April 21, 2023Technology.google, AlphaGo, Artificial intelligence, Artificial intelligence applications, Computer Go, Deep learning, DeepMind, Demis Hassabis, Greg Corrado, Ilya Sutskever, Jeff Dean, Machine learning, Mustafa Suleyman, Shane Leggadmin

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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20Apr/23

What Large Language Models (or LLMs) are, how they are developed, and how they work.

April 20, 2023InnovationAcademic disciplines, Articles, Artificial intelligence, Computational linguistics, Computational neuroscience, Cybernetics, Deep learning, Emerging technologies, Machine learning, Natural language processing, Neural network, Technologyadmin

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 →

03Apr/23

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

April 3, 2023InnovationAcademic disciplines, Articles, Artificial intelligence, Artificial neural networks, Beatrice Fazi, bell laboratories, Bing, Carver Mead, Cognitive science, Computational neuroscience, Creative Commons, Cybernetics, David Beer, David Rumelhart, Deep learning, Edward Rosenfeld, Emerging technologies, Harry Collins, IBM, Jack D. Cowan, James Anderson, Jay McClelland, Katherine Hayles, Larry Hardesty, Leon N. Cooper, London, Machine learning, Mead, Microsoft, Neural network, Richard Waters, SHUTTERSTOCK, Stephen Grossberg, Taina Bucher, Teuvo Kohonen, Walter J. Freeman, Walter Pitts, Warren McCulloch, Wilfred Taylor, Yann LeCunadmin

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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19Jan/23

Digital welfare dystopia

January 19, 2023SecurityAtos, Australia, Brisbane, China, Crime prevention, Data mining, Internet privacy, Law enforcement, Lina Dencik, Machine learning, Manchester, Mass surveillance, Melanie Klieve, Melbourne, National security, Netherlands, Philip Alston, Prevention, Profiling, Qian Ji Data Co, Samuel Woodhams Digital, Security, Skills, Surveillance, Thomson Reuters Foundation, United Kingdomadmin

By Samuel Woodhams | Digital rights researcher and journalist

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.
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12Oct/22

Horrible bosses: how algorithm managers are taking over the office

October 12, 2022InnovationAcademic disciplines, Algorithm, Articles, Artificial intelligence, Creative Commons, Cybernetics, Fields of mathematics, Formal sciences, Jean-Jacques Rousseau, Machine learning, Management, Mathematical logic, Peter, Robert Donoghue, SHUTTERSTOCK, Theoretical computer science, Tiago Vieira, Uber, United Statesadmin

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.”

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Tag: Machine learning