Fourier Intelligence launches GR-2, enhancing humanoid robotics with customer-driven upgrades for intuitive AI interactions.
The dockworkers striking up and down the East Coast are, culturally and geographically, a world apart from the Hollywood actors and writers who staged a four-month walkout last year. But their protests share a common core principle: They don’t want bots taking their jobs.
It’s a fight you can expect to see playing out a lot more as advanced automation and AI creep into virtually every workforce.
Here’s the deal: The East Coast port strike is getting a lot of attention for its potential disruption to the economy — which is precisely the point. Longshore work can be grueling, and the people working at ports are vital to getting all of the stuff we want to buy onto store shelves. No dockworkers means no bananas (or whatever), which means no profits for the companies that produce and ship them.
Generative AI was developed largely without government assistance, but its next phase will require government involvement.
In the ongoing journey to create and understand AI (artificial intelligence), a key challenge has been determining if and when a machine has achieved consciousness.
While early AI research focused on mimicking human behavior, modern advancements have revealed the limitations of traditional evaluations like the Turing Test.
As we push the boundaries of AI development, we must redefine how we measure machine intelligence, moving beyond surface-level interactions to explore deeper levels of awareness, creativity and self-consciousness.
Google DeepMind CEO Demis Hassabis predicts that artificial intelligence could cure all diseases within the next decade, as AI approaches human-like cognitive abilities. He stresses the transformative potential of AI, but also warns of the need for careful management.
As artificial intelligence advances, its uses and capabilities in real-world applications continue to reach new heights that may even surpass human expertise.
Official website for Osaka Metropolitan University. Established in 2022 through the merger of Osaka City University and Osaka Prefecture University.
Nvidia has released a powerful open-source artificial intelligence model that competes with proprietary systems from industry leaders like OpenAI and Google.
The company’s new NVLM 1.0 family of large multimodal language models, led by the 72 billion parameter NVLM-D-72B, demonstrates exceptional performance across vision and language tasks while also enhancing text-only capabilities.
“We introduce NVLM 1.0, a family of frontier-class multimodal large language models that achieve state-of-the-art results on vision-language tasks, rivaling the leading proprietary models (e.g., GPT-4o) and open-access models,” the researchers explain in their paper.
In neuroscience and biomedical engineering, accurately modeling the complex movements of the human hand has long been a significant challenge.
Research videos aren’t known for their narrative arcs. Occasionally, however, you see one that keeps getting better the longer you watch. “Beyond Manual Dexterity” is one such video. It wows you in the first few seconds with a highly dexterous robotic gripper, and then things start to go off the rails.
The video debuted along with a research paper of the same name at IEEE’s International Conference on Robotics and Automation in Rotterdam this week. The work, conducted by Switzerland’s EPFL, explores ways in which robotic hands can grow beyond existing confines to grasp an even wider range of objects.
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