Thanks to innovations in the cloud, the machines that we rely on every day are getting smarter. Increasingly, machines can “feel” the world around them thanks to a combination of sensors and cameras, then interpret that data using artificial intelligence, including computer vision. Today, our cars can detect poor road conditions and gather data that helps cities determine where to make repairs. Robots and automation make factory floors run more efficiently. The companies behind these technologies are among the honorees in Fast Company’s first Next Big Things in Tech awards. See a full list of all the winners across all categories here. Winners Azumo For building screens that stand up to sunlight The holy grail of mobile displays is being able to provide indoor and outdoor readability without burning through battery life. Azumo’s LCD 2.0 combines a low-power display that withstands bright sunlight with front lighting that produces accurate colors indoors. The tech could come to future phones, tablets, and laptops.
Diamond Foundry For creating a material that can outperform silicon One of the factors constraining the speed of current chips is the fact that silicon heats up. Diamond Foundry’s synthetic diamond material could be used to replace 99% of a chip’s silicon wafer, allowing it to stay cool and boosting both its performance and conductivity.
GelSight For helping robots develop a new sense Researchers at MIT developed GelSight to give robots a sense of touch. The technology uses a camera that can measure distortions to its soft tactile sensor down to a micron, turning pressure to the sensor into imagery that a computer can understand. Applications include aerospace and manufacturing. [Photo: courtesy of IBM] IBM For giving Moore’s law new life Moore’s law, which says the number of transistors on a microchip doubles every two years, seemed set to end—until IBM designed a 2-nanometer chip that will let chipmakers fit up to 50 billion transistors into the space of a fingernail. Among the potential benefits: smartphones with 400% better battery life.[Illustration: Noma Bar] Lightmatter For making AI faster and more sustainable This MIT spinout’s key product is Envise, a general purpose photonic AI accelerator that brings ultrahigh performance to demanding applications such as neural networks. Since its chips run cooler, it could help data centers radically reduce their carbon footprint. Monarch For automating farms while preserving the environment The compact Monarch Tractor is electric, autonomous, and can perform a wide range of farm functions (such as planting, tilling, and fertilizing). There are other autonomous tractors on the market that also aim to make farming more green, but at $58,000, Monarch’s entry in the market is remarkably affordable.
MTEK For bringing new efficiency to factory floors The MBrain system takes the software needed to run a modern-day factory and integrates it into a single system that can analyze each element of the manufacturing process to make it more efficient. With a digital view of their entire factory, managers also have the opportunity to reduce waste and find new ways to recycle.
Rapid Robotics For teaching robots to do everyday work Robotic manufacturing is typically a pricey, complex process involving custom software that costs more than the robots themselves. Rapid Robotics democratizes it with easy-to-train, on-demand robots that can handle common factory tasks ranging from injection molding to parts inspection.
Relativity Space For 3D printing rockets in mere days This startup devised a new way to produce orbital rockets: by printing them with the world’s largest 3D printers. Using AI and robotics, it cranks them out in days, rather than the two-plus years required by conventional means—and with 1,000 parts instead of the 100,000 required in the past.
SambaNova Systems For letting companies train AI models in the cloud Stanford professors created novel hardware and software for training large AI models, then made their technology easy to adopt by offering it as a service via SambaNova. The company says that its system outperforms competitors in model-training benchmarks, while using less space and power.
Skylo For sending the Internet of Things to space Cellular networks cover only about 20% of the world’s land mass. Skylo built an IoT platform that provides satellite connectivity to sensors located on everything from tractors to pipelines to fishing boats. In India, the technology has already helped save the lives of fishermen who might otherwise have been lost at sea.
Tactile Mobility For allowing vehicles to feel the road beneath them This startup’s VehicleDNA software uses sensors already embedded in vehicles to detect road hazards such as potholes and slippery driving conditions. The crowdsourced data it collects is useful to everyone from cities performing road maintenance to manufacturers designing autonomous cars.
Honorable Mentions Groq For designing an AI chip that can process a quadrillion operations per second Swift Navigation For giving vehicles satellite-based positioning that’s accurate down to 10 centimeters
Войдите, чтобы добавить комментарий
Другие сообщения в этой группе
Your favorite iPhone could soon become much pricier, thanks to tariffs.
Most of us know the general (albeit simplified) story: Russian physiologist Ivan Pavlov used a stimulus—like a metronome—around the dogs he was studying, and soon, the hounds would start to saliva
For years, I’ve had a secret ambition tucked away somewhere near the back of my brain. It was to write a simple note-taking app—one that wouldn’t be overwhelmed with features and that would reflec
AI tools are everywhere, changing the way we work, communicate, and even create. But which tools are actually useful? And how can users integrate
The way Bran Ferren sees it, the future of warfare depends as much on creativity as it does on raw firepower.
The former head of research and development at Walt Disney Imagineering—the
The nonstop cavalcade of announcements in the AI world has created a kind of reality distortion field. There is so much bu
Google released its new Gemini 2.5 Pro Experimental AI model late last month,
