A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.[#item_full_content]

A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.A new “stress test” method created by a Georgia Tech researcher allows programmers to more easily determine if trained visual recognition models are sensitive to input changes or rely too heavily on context clues to perform their tasks.Computer Sciences[#item_full_content]

Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual image, say, of MIT’s mascot, Tim the Beaver). So, the robot fails.Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual image, say, of MIT’s mascot, Tim the Beaver). So, the robot fails.Robotics[#item_full_content]

Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual image, say, of MIT’s mascot, Tim the Beaver). So, the robot fails.Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual image, say, of MIT’s mascot, Tim the Beaver). So, the robot fails.[#item_full_content]

he popular press and consumers are going too easy on ChatGPT, says Johns Hopkins University cybersecurity and artificial intelligence expert Anton Dahbura. According to him, the unreliability of such large language models, or LLMs, and their production of fabricated and biased content pose a real and growing threat to society.he popular press and consumers are going too easy on ChatGPT, says Johns Hopkins University cybersecurity and artificial intelligence expert Anton Dahbura. According to him, the unreliability of such large language models, or LLMs, and their production of fabricated and biased content pose a real and growing threat to society.Machine learning & AI[#item_full_content]

Your brand new household robot is delivered to your house, and you ask it to make you a cup of coffee. Although it knows some basic skills from previous practice in simulated kitchens, there are way too many actions it could possibly take—turning on the faucet, flushing the toilet, emptying out the flour container, and so on. But there’s a tiny number of actions that could possibly be useful. How is the robot to figure out what steps are sensible in a new situation?Your brand new household robot is delivered to your house, and you ask it to make you a cup of coffee. Although it knows some basic skills from previous practice in simulated kitchens, there are way too many actions it could possibly take—turning on the faucet, flushing the toilet, emptying out the flour container, and so on. But there’s a tiny number of actions that could possibly be useful. How is the robot to figure out what steps are sensible in a new situation?Robotics[#item_full_content]

Imagine an October surprise like no other: Only a week before Nov. 5, 2024, a video recording reveals a secret meeting between Joe Biden and Volodymyr Zelenskyy. The American and Ukrainian presidents agree to immediately initiate Ukraine into NATO under “the special emergency membership protocol” and prepare for a nuclear weapons strike against Russia. Suddenly, the world is on the cusp of Armageddon.Imagine an October surprise like no other: Only a week before Nov. 5, 2024, a video recording reveals a secret meeting between Joe Biden and Volodymyr Zelenskyy. The American and Ukrainian presidents agree to immediately initiate Ukraine into NATO under “the special emergency membership protocol” and prepare for a nuclear weapons strike against Russia. Suddenly, the world is on the cusp of Armageddon.Consumer & Gadgets[#item_full_content]

A new study explores how artificial intelligence can not only better predict new scientific discoveries but can also usefully expand them. The researchers, who published their work in Nature Human Behaviour, built models that could predict human inferences and the scientists who will make them.A new study explores how artificial intelligence can not only better predict new scientific discoveries but can also usefully expand them. The researchers, who published their work in Nature Human Behaviour, built models that could predict human inferences and the scientists who will make them.Machine learning & AI[#item_full_content]

Hirebucket

FREE
VIEW