Extreme closeup! IBM makes ‘world’s smallest movie’ using atoms (video)
by Larra Morris
Today, a team of IBM scientists are bypassing the big screen to unveil what they call the “world’s smallest movie.” This atomic motion picture was created with the help of a two-ton IBM-made microscope that operates at a bone-chilling negative 268 degrees Celsius. This hardware was used to control a probe that pulled and arranged atoms for stop-motion shots used in the 242-frame film. A playful spin on microcomputing, the short was made by the same team of IBM eggheads who recently developed the world’s smallest magnetic bit. via Engadget
The world’s smallest magnetic data storage unit is made of just 12 atoms, squeezing an entire byte into just 96 atoms, a significant shrinkage in the world of information storage. It’s not a quantum computer, but it’s a computer storage unit at the quantum scale. By contrast, modern hard disk drives…
IBM has announced their first graphene integrated circuit. Graphene’s structure of one-atom-thick planar sheets of sp2-bonded carbon atoms that are densely packed in a honeycomb crystal lattice make it one of the thinnest semiconductor materials. via Dangerous Prototypes Read more here
It's not the smallest transistor out there, but the boffins at IBM have constructed the tiniest carbon nanotube transistor to date. It's nine nanometers in size, making it one nanometer smaller than the presumed physical limit of silicon transistors. Plus, it consumes less power and is able to carry more current than…
Join Libby and Demo in this episode of “Libby’s Lab” as they explore the Texas Instruments AMC0311s Precision Isolated Amplifiers, available at Mouser.com! These amplifiers are great for protecting sensitive circuits in high-power applications. Keep your circuits charged and your ideas sparking!
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
