Over the past decade, virtual assistants powered by artificial intelligence, like Apple’s Siri and Amazon’s Alexa, have become integral to technologies such as smartphones and social media.Over the past decade, virtual assistants powered by artificial intelligence, like Apple’s Siri and Amazon’s Alexa, have become integral to technologies such as smartphones and social media.Consumer & Gadgets[#item_full_content]

Evidence is mounting that the new generative AI internet search tools provided by OpenAI, Google and Microsoft can increase the risk of returning false, misleading or partially correct information.Evidence is mounting that the new generative AI internet search tools provided by OpenAI, Google and Microsoft can increase the risk of returning false, misleading or partially correct information.Business[#item_full_content]

Since the release of ChatGPT in November 2022, the world has seen an incredible surge in investment, development and use of artificial intelligence (AI) applications. According to one estimate, the amount of computational power used for AI is doubling roughly every 100 days.Since the release of ChatGPT in November 2022, the world has seen an incredible surge in investment, development and use of artificial intelligence (AI) applications. According to one estimate, the amount of computational power used for AI is doubling roughly every 100 days.Business[#item_full_content]

A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes.A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes.Computer Sciences[#item_full_content]

Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can perform machine learning. For instance, artificial neural networks are capable of learning complex language and vision tasks, but the process of training computers to perform these tasks is slow and requires a lot of power.Scientists run into a lot of tradeoffs trying to build and scale up brain-like systems that can perform machine learning. For instance, artificial neural networks are capable of learning complex language and vision tasks, but the process of training computers to perform these tasks is slow and requires a lot of power.Machine learning & AI[#item_full_content]