Google announced Probing the 3D Awareness of Visual Foundation Models
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their training task, their intermediate representations are useful for other visual tasks such as detection and segmentation.
Recent advances in large-scale pretraining have yielded visual foundation models with strong capabilities. Not only can recent models generalize to arbitrary images for their training task, their intermediate representations are useful for other visual tasks such as detection and segmentation.
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Adobe introduced a slew of new AI capabilities coming to Adobe Premiere Pro.
- New AI-powered tools in Premiere Pro
- A new proprietary AI model called Firefly Video
- Third-party AI model integrations with OpenAI, Runway, and Pika Labs.
Adobe is doing what they do best... No one expected that. Sora, Runway, and Pika part of one software that's massive. A major highlight from the video was that Sora can generate multiple versions of a video from one prompt in a single API call
- New AI-powered tools in Premiere Pro
- A new proprietary AI model called Firefly Video
- Third-party AI model integrations with OpenAI, Runway, and Pika Labs.
Adobe is doing what they do best... No one expected that. Sora, Runway, and Pika part of one software that's massive. A major highlight from the video was that Sora can generate multiple versions of a video from one prompt in a single API call
Adobe
AI Video Editor | Adobe Premiere
With AI video editing tools you will spend less time on tedious video editing tasks like changing color levels, adjusting audio, extending videos or reframing videos.
Mistral seeks $5B valuation just a few months after getting $2B.
The possible back-to-back financing reflects investors’ continued appetite for certain AI startups and the large amount of capital such startups need to compete with Google, OpenAI and other leaders in the field.
It’s unclear which investors Mistral has spoken to about a new funding round. Its existing investors include Andreessen Horowitz, Lightspeed Venture Partners and Microsoft, which has also backed OpenAI but with far more capital.
A $5 billion valuation would stand out even among AI startups that have fetched steep prices on modest revenue. Cohere, which also develops LLMs, has been in talks to raise money at a $5 billion valuation despite generating revenue at an annualized pace of about $22 million.
Mistral charges customers that use an application programming interface to access its large language models. The models, most of which are also available for free, have surged in popularity among application developers.
Mistral is banking on its ability to convince AI customers in Europe to work with a locally based firm rather than with AI providers based in other parts of the world.
Named after a northern winter wind, Mistral was founded a year ago by former DeepMind researcher Arthur Mensch and former Meta AI scientists Timothée Lacroix and Guillaume Lample. Unlike OpenAI, Mistral is open-sourcing its models and has said that it’s developing its products in line with stricter European regulations on the safe development of such software.
Mistral experienced backlash from some researchers over its first open-source model, launched last year, for lacking the safety features to prevent users from asking for advice on how to commit suicide, for instance. Mistral has also admitted to using Meta’s open-source AI, Llama 2, to create its own AI, only disclosing that fact after the information leaked.
In February, Microsoft took a tiny minority stake in Mistral. Microsoft said it would offer Mistral’s AI models, including its most advanced one, Mistral Large, on its Azure cloud rental service. Mistral Large was designed to compete with OpenAI’s most advanced model, GPT-4.
The possible back-to-back financing reflects investors’ continued appetite for certain AI startups and the large amount of capital such startups need to compete with Google, OpenAI and other leaders in the field.
It’s unclear which investors Mistral has spoken to about a new funding round. Its existing investors include Andreessen Horowitz, Lightspeed Venture Partners and Microsoft, which has also backed OpenAI but with far more capital.
A $5 billion valuation would stand out even among AI startups that have fetched steep prices on modest revenue. Cohere, which also develops LLMs, has been in talks to raise money at a $5 billion valuation despite generating revenue at an annualized pace of about $22 million.
Mistral charges customers that use an application programming interface to access its large language models. The models, most of which are also available for free, have surged in popularity among application developers.
Mistral is banking on its ability to convince AI customers in Europe to work with a locally based firm rather than with AI providers based in other parts of the world.
Named after a northern winter wind, Mistral was founded a year ago by former DeepMind researcher Arthur Mensch and former Meta AI scientists Timothée Lacroix and Guillaume Lample. Unlike OpenAI, Mistral is open-sourcing its models and has said that it’s developing its products in line with stricter European regulations on the safe development of such software.
Mistral experienced backlash from some researchers over its first open-source model, launched last year, for lacking the safety features to prevent users from asking for advice on how to commit suicide, for instance. Mistral has also admitted to using Meta’s open-source AI, Llama 2, to create its own AI, only disclosing that fact after the information leaked.
In February, Microsoft took a tiny minority stake in Mistral. Microsoft said it would offer Mistral’s AI models, including its most advanced one, Mistral Large, on its Azure cloud rental service. Mistral Large was designed to compete with OpenAI’s most advanced model, GPT-4.
The Information
Mistral, an OpenAI Rival in Europe, in Talks to Raise Capital at a $5 Billion Valuation
Mistral, a Paris-based startup developing artificial intelligence that is open source, has been speaking to investors about raising several hundred million dollars at a valuation of $5 billion, according to a person with direct knowledge. The company, which…
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Bitcoin's fourth mining-reward halving is just two days away. The quadrennial event will reduce BTC's per block emission to 3.125 BTC from 6.25 BTC. Though bulls were in the driver's seat following each of the three halvings, the magnitude and the time taken to reach the eventual peak differed.
Boston Dynamics revealed the new fully electric Atlas
The previous hydraulic version was retired yesterday. They have chosen increased range of movement over strictly mirroring the human form. Note the hand has three fingers.
Investment from Hyundai.
Explaining the idea behind the shape of the head in the TechCrunch interview. They also said Altas will begin on site testing at Hyundai facilitates in early 2025.
The previous hydraulic version was retired yesterday. They have chosen increased range of movement over strictly mirroring the human form. Note the hand has three fingers.
Investment from Hyundai.
Explaining the idea behind the shape of the head in the TechCrunch interview. They also said Altas will begin on site testing at Hyundai facilitates in early 2025.
University of Cambridge researchers developed an AI to find new treatments for Parkinson's.
It accelerates the initial screening process 10x, reduces costs 1000x, and already led to the discovery of 5 new compounds.
It accelerates the initial screening process 10x, reduces costs 1000x, and already led to the discovery of 5 new compounds.
University of Cambridge
AI speeds up drug design for Parkinson’s ten-fold
The researchers, from the University of Cambridge, designed and used an AI-based strategy to identify compounds that block the clumping, or aggregation, of alpha-synuclein, the protein that
Immersive_tech_in_healthcare_1713358341.pdf
14.2 MB
This is a very interesting report focused on the use of immersive technology, like VR, in the healthcare sector.
The goal of the work is to help those in healthcare (including providers, built environment experts, and policy makers) to:
1. Advocate for the benefits of XR as a means to innovate health and social care
2. Increase debate and dialog across networks of expertise to create health-promoting environments
3. Understand the overriding priorities in making effective pathways to the implementation of XR.
The authors conclude that:
- both built environment and healthcare sectors can benefit from the various capabilities of XR through cross-sectional initiatives, evidence-based practices, and participatory approaches.
- a confluence of knowledge and methods of HCI and HBI can increase the interoperability and usability of XR for the patient-centered and value-based healthcare models.
- the XR-enabled technological regime will largely affect the new forms of value in healthcare premises by fostering more decentralized, preventive, and therapeutic characteristics in the future healthcare ecosystems.
The goal of the work is to help those in healthcare (including providers, built environment experts, and policy makers) to:
1. Advocate for the benefits of XR as a means to innovate health and social care
2. Increase debate and dialog across networks of expertise to create health-promoting environments
3. Understand the overriding priorities in making effective pathways to the implementation of XR.
The authors conclude that:
- both built environment and healthcare sectors can benefit from the various capabilities of XR through cross-sectional initiatives, evidence-based practices, and participatory approaches.
- a confluence of knowledge and methods of HCI and HBI can increase the interoperability and usability of XR for the patient-centered and value-based healthcare models.
- the XR-enabled technological regime will largely affect the new forms of value in healthcare premises by fostering more decentralized, preventive, and therapeutic characteristics in the future healthcare ecosystems.
Scientists have found a brain area in mice that may reveal how we can quickly discern a stranger from someone familiar.
These new findings may shed light on disorders affecting memory.
These new findings may shed light on disorders affecting memory.
Siemens and Bilt launch spatial computing electrician training on Apple Vision Pro
The companies are the creators of 3D Intelligent Instructions and they’re optimizing their mobile guides into spatial models for the Apple Vision Pro, which lets you see 3D animations overlaid on a view of the real world with the new headset.
The companies are the creators of 3D Intelligent Instructions and they’re optimizing their mobile guides into spatial models for the Apple Vision Pro, which lets you see 3D animations overlaid on a view of the real world with the new headset.
VentureBeat
Siemens and Bilt launch spatial computing electrician training on Apple Vision Pro
Siemens and Bilt have launched a spatial computing app to train electricians using the Apple Vision Pro mixed reality headset.
Big work in democratizing learnings on "AlphaFold as an AlexMoment for biology".
Adobe is paying for videos of humans in the wild to train its Sora.
They are looking for clips of people interacting with objects and expressing emotions.
The pay scales up depending on how much human intent is captured, but at the high end, they are paying $7.25 a minute.
They are looking for clips of people interacting with objects and expressing emotions.
The pay scales up depending on how much human intent is captured, but at the high end, they are paying $7.25 a minute.
Reuters
Inside Big Tech's underground race to buy AI training data
At its peak in the early 2000s, Photobucket was the world's top image-hosting site. The media backbone for once-hot services like Myspace and Friendster, it boasted 70 million users and accounted for nearly half of the U.S. online photo market.
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New invasive neurotechnology preprint. Researchers investigated pathway-specific therapeutic mechanisms of dopamine and DBS on cortex-STN communication using invasive ECoG & LFP recordings in Parkinson’s disease.
Deep brain stimulation (DBS) is proving effective at targeting specific pathways in the brain that cause problems in Parkinson's disease (PD).
Specifically, researchers've discovered that DBS can influence a critical brain pathway from the cortex to the subthalamic nucleus (STN).
Research shows that DBS can imitate dopamine, a chemical naturally produced in the brain that helps regulate movement and emotional responses. By mimicking dopamine, DBS can adjust the brain's activity to improve symptoms of PD.
In the future, combining MRI connectomics with invasive multitarget neurophysiology will enable real-time adjustment of brain network communication. Targeting the right pathway with millisecond precision.
Deep brain stimulation (DBS) is proving effective at targeting specific pathways in the brain that cause problems in Parkinson's disease (PD).
Specifically, researchers've discovered that DBS can influence a critical brain pathway from the cortex to the subthalamic nucleus (STN).
Research shows that DBS can imitate dopamine, a chemical naturally produced in the brain that helps regulate movement and emotional responses. By mimicking dopamine, DBS can adjust the brain's activity to improve symptoms of PD.
In the future, combining MRI connectomics with invasive multitarget neurophysiology will enable real-time adjustment of brain network communication. Targeting the right pathway with millisecond precision.
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Crypto_Use_Cases_2024_1713793026.pdf
511.8 KB
Crypto Use Cases 2024 (12 Real-World Stories of How Millions of People Are Using Crypto Services Today)
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Meta just announced it’s opening its mixed reality OS to third party headsets. Asus, Lenovo, and a Microsoft Xbox version of the Quest are coming… more here on Horizon OS
CNET
Meta Expands Its Mixed Reality Beyond the Quest Headsets
Meta opened the Quest Horizon OS to others, and now VR headsets from Asus, Lenovo and even an Xbox variant are on the way.
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Using the Allen Mouse Brain Atlas, a team of Instituto de Neurociencias de Alicante researchers built a mouse MRI template incl structural and diffusion contrasts as well as anatomical annotation.