In neuroscience and biomedical engineering, accurately modeling the complex movements of the human hand has long been a significant challenge.
Category: robotics/AI – Page 327
Westinghouse’s eVinci micro nuclear reactor for data centers delivers 5 megawatts of power for eight years without refueling — microreactors could power next-gen AI data centers
Posted in nuclear energy, robotics/AI | 1 Comment on Westinghouse’s eVinci micro nuclear reactor for data centers delivers 5 megawatts of power for eight years without refueling — microreactors could power next-gen AI data centers
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.
“The deep learning model has significantly advanced dexterous manipulation techniques for multi-fingered hand grasping,” the team notes. “However, the contact information-guided grasping in cluttered environments remains largely underexplored.”
This paper demonstrates how AI accelerates discoveries in archaeology, even in a region as well known as the United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage site of Nazca.
It took nearly a century to discover a total of 430 figurative Nazca geoglyphs, which offer significant insights into the ancient cultures at the Nazca Pampa. Here, we report the deployment of an AI system to the entire Nazca region, a UNESCO World Heritage site, leading to the discovery of 303 new figurative geoglyphs within only 6 mo of field survey, nearly doubling the number of known figurative geoglyphs. Even with limited training examples, the developed AI approach is demonstrated to be effective in detecting the smaller relief-type geoglyphs, which unlike the giant line-type geoglyphs are very difficult to discern. The improved account of figurative geoglyphs enables us to analyze their motifs and distribution across the Nazca Pampa.
Google’s UNREAL New AI
Posted in futurism, robotics/AI
The rapid advancement of AI-generated content is challenging our understanding of authenticity and creativity, raising significant ethical, regulatory, and existential questions about the future of human-AI collaboration Questions to inspire discussion AI-Generated Content Revolution 🎙️Q: How is Google’s Notebook LM.
A new biohybrid robot can be steered left, right, or straight by activating neurons and muscle cells embedded into its fins.
A key aspect of human factors in robotic surgery is the training and proficiency of the surgeon. Robotic systems, although designed to enhance precision, rely heavily on the expertise of the individuals operating them. Companies should invest in comprehensive training programs that extend beyond basic certification and promote a culture of continuous learning and skill development.
Simulation-based training, for example, provides a risk-free environment for practicing complex procedures, helping surgeons build confidence and proficiency. Implementing standardized certification processes ensures consistent competency levels among surgeons.
I’m diving deep into the concept of the Universal Productivity Dividend, a potential solution and alternative to UBI for the coming overhaul of the world’s entire socioeconomic system, when total job automation occurs.
We’ll explore what UPD is, how it works, and whether it could be the key to a more equitable future.
Since the Industrial Revolution, machines have been augmenting human labor. But the technological + AI advancements of the 2020s, and what’s coming, is a TOTALLY new shift for humanity.
With jobs up for automation, every sector is at risk – leading us to mass unemployment. Is UPD a real solution? Listen in and find out.
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Altman predicts that with AI in the future, “We will be able to do things that would have seemed like magic to our grandparents.”
AIs have a big problem with truth and correctness – and human thinking appears to be a big part of that problem. A new generation of AI is now starting to take a much more experimental approach that could catapult machine learning way past humans.
Remember Deepmind’s AlphaGo? It represented a fundamental breakthrough in AI development, because it was one of the first game-playing AIs that took no human instruction and read no rules.
Instead, it used a technique called self-play reinforcement learning to build up its own understanding of the game. Pure trial and error across millions, even billions of virtual games, starting out more or less randomly pulling whatever levers were available, and attempting to learn from the results.