×
![]()
The most capable model you can run on a single GPU or TPU.
The most capable model you can run on a single GPU or TPU.
The most capable model you can run on a single GPU or TPU.
The most capable model you can run on a single GPU or TPU.
The most capable model you can run on a single GPU or TPU.
The most capable model you can run on a single GPU or TPU.
There’s something that bothers me about the chatter that AI is making “intelligence” ubiquitous. For example, in a recent Bloomberg article, “AI Will Upend a Basic Assumption About How Companies Are Organized,” Azeem Azhar wrote: As intelligence becomes cheaper and faster, the basic assumption underpinning our institutions—that human insight is scarce and expensive—no longer holds. […]
On May 8, O’Reilly Media will be hosting Coding with AI: The End of Software Development as We Know It—a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If you’re in the trenches building tomorrow’s development practices today and interested in speaking at the […]
The AI video generation landscape is shifting from capability to profitability, challenging OpenAI Sora's dominance. Competitors are surpassing Sora in quality and efficiency, with users preferring alternatives. The focus is now on improvements like precise control and style customization for practical applications.
The post AI Video Generation Race Shifts from Capability to Profitability, Challenging Sora’s Dominance first appeared on Synced.
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
Researchers have enabled a man who is paralyzed to control a robotic arm through a device that relays signals from his brain to a computer. He was able to grasp, move and drop objects just by imagining himself performing the actions.
The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.
Energy remains a significant factor in industrial production processes. High levels of energy consumption make production more expensive and exacerbate the climate crisis. A new type of robot technology needs 90% less electricity than conventional systems. The technology uses lightweight, shape memory materials to construct novel, non-pneumatic, industrial gripper systems that function without the need for additional sensors.
Scientists have developed a biorobotic arm that can mirror human tremors, such as those experienced by individuals that live with Parkinson's disease. Artificial muscles on either side of the forearm contract and relax to suppress the involuntary shaking of the wrist and hand. The researchers see their biorobotic arm not only as a platform for other scientists in the field to test new ideas in exoskeleton technology. The arm also serves as a test bed to see how well artificial muscles known as HASELs can one day become the building blocks of wearable devices. The vision is to one day develop a sleeve that tremor patients can comfortably wear to be able to better cope with everyday tasks such as holding a cup.
Felice Frankel discusses the implications of generative AI when communicating science visually.
Cutting edge technology may come with downsides.
Walking into your favorite restaurant and seeing a robot chef in the kitchen may seem far-fetched, but new research suggests that bots could be a solution to persistent labor shortages in the industry.
Engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.
Soilless growing systems inside greenhouses, known as controlled environment agriculture, promise to advance the year-round production of high-quality specialty crops, according to an interdisciplinary research team. But to be competitive and sustainable, this advanced farming method will require the development and implementation of precision agriculture techniques. To meet that demand, the team developed an automated crop-monitoring system capable of providing continuous and frequent data about plant growth and needs, allowing for informed crop management.
Researchers have demonstrated that multicolored stickers applied to stop or speed limit signs on the roadside can 'confuse' self-driving vehicles, causing unpredictable and possibly hazardous operations.
A research team has recently developed a groundbreaking neuromorphic exposure control (NEC) system that revolutionizes machine vision under extreme lighting variations. This biologically inspired system mimics human peripheral vision to achieve unprecedented speed and robustness in dynamic perception environments.
In today’s data-driven world, efficient geospatial indexing is crucial for applications ranging from ride-sharing and logistics to environmental monitoring and disaster response. Uber’s H3, a powerful open-source spatial indexing system, provides a unique hexagonal grid-based solution that enables seamless geospatial analysis and fast query execution. Unlike traditional rectangular grid systems, H3’s hierarchical hexagonal tiling ensures […]
The post Guide to Uber’s H3 for Spatial Indexing appeared first on Analytics Vidhya.
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
In developing the content for our May 8 virtual conference Coding with AI: The End of Software Development as We Know It, we couldn’t help but want to feature Harper Reed, whose recent post “My LLM Codegen Workflow ATM” so perfectly encapsulates the kind of experimentation that developers are going through as they come to […]
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Springtails, small bugs often found crawling through leaf litter and garden soil, are expert jumpers. Inspired by these hopping hexapods, roboticists have made a walking, jumping robot that pushes the boundaries of what small robots can do. The research glimpses a future where nimble microrobots can crawl through tiny spaces, skitter across dangerous ground, and sense their environments without human intervention.
A bioinspired robot can change shape to alter its own physical properties in response to its environment, resulting in a robust and efficient autonomous vehicle as well as a fresh approach to robotic locomotion.
A research team demonstrated the 'world's smallest shooting game,' a unique nanoscale game inspired by classic arcade games. This achievement was made possible by real-time control of the force fields between nanoparticles using focused electron beams. This research has practical applications, as the manipulation of nanoscale objects could revolutionize biomedical engineering and nanotechnology.
A team of scientists has now created a computer model that can represent and generate human-like goals by learning from how people create games. The work could lead to AI systems that better understand human intentions and more faithfully model and align with our goals. It may also lead to AI systems that can help us design more human-like games.