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Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Native image output is available in Gemini 2.0 Flash for developers to experiment with in Google AI Studio and the Gemini API.
Be sure to check out the previous articles in this series: •
Time series forecasting is a statistical technique used to analyze historical data points and predict future values based on temporal patterns.
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.
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.