Birds flock in order to forage and move more efficiently. Fish school to avoid predators. And bees swarm to reproduce. Recent advances in artificial intelligence have sought to mimic these natural behaviors as a way to potentially improve search-and-rescue operations or to identify areas of wildfire spread over vast areas—largely through coordinated drone or robotic movements. However, developing a means to control and utilize this type of AI—or “swarm intelligence”—has proved challenging.Birds flock in order to forage and move more efficiently. Fish school to avoid predators. And bees swarm to reproduce. Recent advances in artificial intelligence have sought to mimic these natural behaviors as a way to potentially improve search-and-rescue operations or to identify areas of wildfire spread over vast areas—largely through coordinated drone or robotic movements. However, developing a means to control and utilize this type of AI—or “swarm intelligence”—has proved challenging.[#item_full_content]

ChatGPT-maker OpenAI is backing the production of a feature-length animated film created largely with artificial intelligence tools, aiming to prove the technology can revolutionize Hollywood filmmaking with faster timelines and lower costs.ChatGPT-maker OpenAI is backing the production of a feature-length animated film created largely with artificial intelligence tools, aiming to prove the technology can revolutionize Hollywood filmmaking with faster timelines and lower costs.Business[#item_full_content]

France’s Mistral on Tuesday cemented its position as Europe’s top AI hope against far larger US and Chinese competitors after a record fundraising round and a tie-up with chipmaking equipment heavyweight ASML.France’s Mistral on Tuesday cemented its position as Europe’s top AI hope against far larger US and Chinese competitors after a record fundraising round and a tie-up with chipmaking equipment heavyweight ASML.Business[#item_full_content]

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process, however, reveals limitations such as cost burden, data inconsistency, and the difficulty of processing complex queries.For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process, however, reveals limitations such as cost burden, data inconsistency, and the difficulty of processing complex queries.[#item_full_content]

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process, however, reveals limitations such as cost burden, data inconsistency, and the difficulty of processing complex queries.For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process, however, reveals limitations such as cost burden, data inconsistency, and the difficulty of processing complex queries.Computer Sciences[#item_full_content]

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image recognition and similar pattern-finding tasks. Using light dramatically cuts the power needed to perform these tasks, with efficiency 10 or even 100 times that of current chips performing the same calculations. Using this approach could help rein in the enormous demand for electricity that is straining power grids while enabling higher performance AI models and systems.A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image recognition and similar pattern-finding tasks. Using light dramatically cuts the power needed to perform these tasks, with efficiency 10 or even 100 times that of current chips performing the same calculations. Using this approach could help rein in the enormous demand for electricity that is straining power grids while enabling higher performance AI models and systems.Electronics & Semiconductors[#item_full_content]

A federal judge has begun reviewing a landmark class-action settlement agreement between the artificial intelligence company Anthropic and book authors who say the company took pirated copies of their works to train its chatbot.A federal judge has begun reviewing a landmark class-action settlement agreement between the artificial intelligence company Anthropic and book authors who say the company took pirated copies of their works to train its chatbot.Business[#item_full_content]

Flexport’s Ryan Petersen on building through chaos at TechCrunch Disrupt 2025

Ryan Petersen, CEO of Flexport, joins the Builders Stage at TechCrunch Disrupt 2025, happening October 27–29 at Moscone West in San Francisco. Register to join.Ryan Petersen, CEO of Flexport, joins the Builders Stage at TechCrunch Disrupt 2025, happening October 27–29 at Moscone West in San Francisco. Register to join.[#item_full_content]

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