How a horse whisperer can help engineers build better robots
New research shows us that age-old interactions between people and their horses can teach us something about building robots designed to improve our lives.
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New research shows us that age-old interactions between people and their horses can teach us something about building robots designed to improve our lives.
Most humans are innately able to identify the individual attributes of sensory stimuli, such as objects they are seeing, sounds they are hearing, and so on. While artificial intelligence (AI) tools have become increasingly better at recognizing specific objects in images or other stimuli, they are often unable to disentangle their individual attributes (e.g., their …
Read more “A power-efficient engine that can disentangle the visual attributes of objects”
Four federal agencies pledged on Tuesday to enforce their respective laws and regulations to ensure AI is fair and law-abiding.Read More
The government wants the metaverse to be less about having fun and shopping and more about health care and industry.
Roboticists have developed a jellyfish-inspired underwater robot with which they hope one day to collect waste from the bottom of the ocean. The almost noise-free prototype can trap objects underneath its body without physical contact, thereby enabling safe interactions in delicate environments such as coral reefs. Jellyfish-Bot could become an important tool for environmental remediation.
Artificial intelligence (AI) recently started making its way into many creative industries, for instance, in the form of tools for digital artists, architects, interior designers and image editors. In these contexts, AI can automate processes that are tedious or time consuming, while also potentially inspiring artists and facilitating their creative process.
To protect its Confidential Computing cloud infrastructure and gain critical insights, Google leans on its relationships with chipmakers.
Hailo’s dedicated deep learning edge AI processor is power-efficient, specifically designed for neural networks; vision is a major use case.Read More
Proton-exchange membrane fuel cells (PEMFC), which are being developed for use in electric vehicles, rely on nanoparticles called catalysts to trigger electricity-producing reactions between hydrogen and oxygen. Most PEMFC catalysts contain platinum—a scarce and precious metal. There is therefore a pressing global need to develop catalysts that can generate the most power while minimizing platinum …
Read more “Cryo-imaging lifts the lid on fuel cell catalyst layers”
How reinforcement learning with human feedback helps ensure that businesses are building ethical generative AI models.Read More