Lifeboat Foundation

📸 Watch this video on Facebook https://www.facebook.com/share/v/NNeZinMSuGPtQDXL/?mibextid=i5uVoL

Working together as a consortium, FAIR or university partners captured these perspectives with the help of more than 800 skilled participants in the United States, Japan, Colombia, Singapore, India, and Canada. In December, the consortium will open source the data (including more than 1,400 hours of video) and annotations for novel benchmark tasks. Additional details about the datasets can be found in our technical paper. Next year, we plan to host a first public benchmark challenge and release baseline models for ego-exo understanding. Each university partner followed their own formal review processes to establish the standards for collection, management, informed consent, and a license agreement prescribing proper use. Each member also followed the Project Aria Community Research Guidelines. With this release, we aim to provide the tools the broader research community needs to explore ego-exo video, multimodal activity recognition, and beyond.

How Ego-Exo4D works.

Ego-Exo4D focuses on skilled human activities, such as playing sports, music, cooking, dancing, and bike repair. Advances in AI understanding of human skill in video could facilitate many applications. For example, in future augmented reality (AR) systems, a person wearing smart glasses could quickly pick up new skills with a virtual AI coach that guides them through a how-to video; in robot learning, a robot watching people in its environment could acquire new dexterous manipulation skills with less physical experience; in social networks, new communities could form based on how people share their expertise and complementary skills in video.

Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

Gemini is being released in form of upgrade to Google’s chatbot Bard but not yet in UK or EU.

Individual technologies necessary for in-orbit cryogenic refueling are at a stage of development where they are “ready now to go into flight systems,” Dankanich said, either with a demonstration in space or on an operational spacecraft.

First, small steps

By the fourth anniversary of those awards, only SpaceX appears to have a chance to complete the tasks outlined in its “Tipping Point” award, valued at $53 million.

Tesla CEO Elon Musk has shared some new details about the automaker’s plans for its next-generation, $25,000 electric vehicle (EV), including that it will be built first in Austin, Texas.

On Tuesday, longtime auto industry veteran Sandy Munro shared a new interview with Musk, held following the Cybertruck delivery event. During the interview, the two talked mostly about the Cybertruck, though they also discussed Tesla’s next-generation vehicle for a few minutes.

While Musk said he couldn’t share any details about unit volume and dates for the next-gen EV, due to them being suggestive of Tesla’s financials, he did go on to share a few things. For one, Musk said that Tesla was “quite far advanced” in working to develop the low-cost, high-volume EV, adding that he reviews the production line plans for that on a weekly basis.

Google DeepMind has developed an AI agent system that can learn tasks from a human instructor. After enough time, the AI agent can not only imitate the actions of the human instructor but also recall the observed behavior.

In a paper published in Nature, researchers outline a process called cultural transmission to train the AI model without using any pre-collected human data.

This is a new form of imitative learning that the DeepMind researchers contend allows for more efficient transmission of skills to an AI. Think of it like watching a video tutorial – you watch, learn and apply the teachings as well as remember the video’s lessons later on.

It outmatches GPT-4 in almost all ways—but only by a little. Was the buzz worth it?

Elon Musk commented on the upcoming low-cost Tesla electric car, saying that it is “advanced” in its development. The CEO also commented on the “revolutionary” manufacturing advancements that Tesla is making to make the vehicle a reality.

While the cost of Tesla vehicles has come down recently, they are still not financially accessible to most people – like most new cars.

The launch of the Cybertruck, which is about 50% more expensive than when originally announced in 2019, is not helping Tesla’s vehicle price range in becoming more affordable.

Researchers at the Center of Excellence in Space Sciences India at IISER Kolkata have discovered a new relationship between the Sun’s magnetic field and its sunspot cycle, that can help predict when the peak in solar activity will occur. Their work indicates that the maximum intensity of solar cycle 25, the ongoing sunspot cycle, is imminent and likely to occur within a year. The new research appears in Monthly Notices of the Royal Astronomical Society: Letters.

Our star, the Sun, is made up of hot ionized gas known as plasma.

Huge plasma flows and convection conspire together to form magnetic fields inside the Sun which manifest on the surface as dark spots.

Summary: Researchers developed an AI-based method to track neurons in moving and deforming animals, a significant advancement in neuroscience research. This convolutional neural network (CNN) method overcomes the challenge of tracking brain activity in organisms like worms, whose bodies constantly change shape.

By employing ‘targeted augmentation’, the AI significantly reduces the need for manual image annotation, streamlining the neuron identification process. Tested on the roundworm Caenorhabditis elegans, this technology has not only increased analysis efficiency but also deepened insights into complex neuronal behaviors.