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Deep learning is a form of artificial intelligence transforming society by teaching computers to process information using artificial neural networks that mimic the human brain. It is now used in facial recognition, self-driving cars and even in the playing of complex games like Go. In general, the success of deep learning has depended on using …
Read more “New code mines microscopy images in scientific articles”
The sun and the moon aren’t the only circles worth talking about this week. Target’s Circle Week deals event has a bunch of discounts on our favorite gear.
Engineers designed modular, spring-like devices to maximize the work of live muscle fibers so they can be harnessed to power biohybrid robots.
Do you start your ChatGPT prompts with a friendly greeting? Have you asked for the output in a certain format? Should you offer a monetary tip for its service? Researchers interact with large language models (LLMs), such as ChatGPT, in many ways, including to label their data for machine learning tasks. There are few answers …
Read more “The words you use matter, especially when you’re engaging with ChatGPT”
While some states have made data privacy gains, the US has so far been unable to implement protections at a federal level. A new bipartisan proposal called APRA could break the impasse.
If you want to jump into virtual reality, this headset and these games are a great place to start.
In a bid to restore privacy, researchers have created a new approach to designing cameras that process and scramble visual information before it is digitized so that it becomes obscured to the point of anonymity.
The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions, which could help to train humanoid robots on new tasks.
Autonomous vehicle tech has proven tricky for even the most sophisticated tech developers. But Tesla seems to be staking its future on it.
Robotic systems have so far been primarily deployed in warehouses, airports, malls, offices, and other indoor environments, where they assist humans with basic manual tasks or answer simple queries. In the future, however, they could also be deployed in unknown and unmapped environments, where obstacles can easily occlude their sensors, increasing the risk of collisions.