By
Paula ParisiDecember 2, 2024
Anticipating what one outlet calls “the likely imminent release of OpenAI’s Sora,” generative AI video competitors are compelled to step up their game. Luma AI has released a major upgrade to its Dream Machine, speeding its already quick video generation and enabling a chat function for natural language prompts, so you can talk to it as with OpenAI’s ChatGPT. In addition to the new interface, Dream Machine is going mobile and adding a new foundation image model, Luma AI Photon, which “has been purpose built to advance the power and capabilities of Dream Machine,” according to the company. Continue reading Luma AI Upgrades Its Video Generator and Adds Image Model
By
Paula ParisiJuly 6, 2023
The research team at Microsoft has taken the wraps off a new type of analog optical computer that uses photons and electrons to process continuous value data instead of traditional transistors that crunch through binary ones and zeroes. Called the Analog Iterative Machine, or AIM, it “has the potential to surpass state-of-the-art digital technology and transform computing in years to come,” Microsoft suggests. AIM is made to solve difficult optimization problems bedeviling industries such as finance, logistics, transportation, energy, healthcare and manufacturing. Continue reading Microsoft’s Light-Based Computer Could Usher in a New Era
By
Debra KaufmanOctober 14, 2015
At Dartmouth’s Thayer School of Engineering, Professor Eric Fossum and doctoral student Jiaju Ma have developed a new pixel with dramatically improved low-light sensitivity. Fossum, who invented the CMOS image sensor used in most cellphones and digital cameras, worked with Ma for more than three years before publishing results of their new Quanta Image Sensor (QIS) in an IEEE publication. Among the applications for the new sensor are security cameras, astronomy and life science imaging. Continue reading New Low-Light Pixel Could Have Wide Range of Applications
By
Lisette LeonardJanuary 6, 2014
Researchers have discovered the ability to create ultrasharp images from barely illuminated objects. This is done by mathematically stitching together information from particles of light. The development will likely be used to support studies of fragile biological materials such as the human eye, that could be damaged or destroyed by illumination. The development could also be used for military surveillance applications in locations with low light. Continue reading MIT Researchers Use Algorithm to Take Pictures in the Dark