Latest from Google AI – Large Motion Frame Interpolation

Posted by Fitsum Reda and Janne Kontkanen, Google Research Frame interpolation is the process of synthesizing in-between images from a given set of images. The technique is often used for temporal up-sampling to increase the refresh rate of videos or to create slow motion effects. Nowadays, with digital cameras and smartphones, we often take several…

Latest from MIT Tech Review – The White House just unveiled a new AI Bill of Rights

The White House wants Americans to know: The age of AI accountability is coming.  US President Biden has today unveiled a new AI Bill of Rights, which outlines five protections Americans should have in the AI age.  Biden has called for stronger privacy protections and for tech companies to stop collecting data in the past….

Latest from MIT : Learning on the edge

Microcontrollers, miniature computers that can run simple commands, are the basis for billions of connected devices, from internet-of-things (IoT) devices to sensors in automobiles. But cheap, low-power microcontrollers have extremely limited memory and no operating system, making it challenging to train artificial intelligence models on “edge devices” that work independently from central computing resources. Training…

Latest from MIT Tech Review – Get ready for the next generation of AI

To receive The Algorithm in your inbox every Monday, sign up here. Welcome to the Algorithm!  Is anyone else feeling dizzy? Just when the AI community was wrapping its head around the astounding progress of text-to-image systems, we’re already moving on to the next frontier: text-to-video.  Late last week, Meta unveiled Make-A-Video, an AI that generates…

Latest from MIT : Wiggling toward bio-inspired machine intelligence

Juncal Arbelaiz Mugica is a native of Spain, where octopus is a common menu item. However, Arbelaiz appreciates octopus and similar creatures in a different way, with her research into soft-robotics theory.  More than half of an octopus’ nerves are distributed through its eight arms, each of which has some degree of autonomy. This distributed…

Latest from MIT Tech Review – Meta’s new AI can make video based on text prompts

Meta has today unveiled an AI system that generates short videos based on text prompts.  Make-A-Video lets you type in a string of words, like “A dog wearing a superhero outfit with a red cape flying through the sky,” and then generates a five-second clip that, while pretty accurate, has the aesthetics of a trippy…

Latest from MIT Tech Review – How AI is helping birth digital humans that look and sound just like us

Digital twins capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond. It gives rise to some interesting opportunities as well as thorny questions.  We speak to: Greg Cross, CEO and co-founder of Soul Machines Sounds from: 2PAC HOLOGRAM | LIVE Coachella Recording | High…

Latest from MIT : Neurodegenerative disease can progress in newly identified patterns

Neurodegenerative diseases — like amyotrophic lateral sclerosis (ALS, or Lou Gehrig’s disease), Alzheimer’s, and Parkinson’s — are complicated, chronic ailments that can present with a variety of symptoms, worsen at different rates, and have many underlying genetic and environmental causes, some of which are unknown. ALS, in particular, affects voluntary muscle movement and is always…

Latest from MIT : New program to support translational research in AI, data science, and machine learning

The MIT School of Engineering and Pillar VC today announced the MIT-Pillar AI Collective, a one-year pilot program funded by a gift from Pillar VC that will provide seed grants for projects in artificial intelligence, machine learning, and data science with the goal of supporting translational research. The program will support graduate students and postdocs…

Latest from Google AI – Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Posted by Srivatsan Krishnan, Student Researcher, and Aleksandra Faust, Senior Staff Research Scientist, Google Research, Brain Team Deep reinforcement learning (RL) continues to make great strides in solving real-world sequential decision-making problems such as balloon navigation, nuclear physics, robotics, and games. Despite its promise, one of its limiting factors is long training times. While the…