Lifeboat Foundation

Founded in 2020, Moonfire Ventures has raised a $115 million second round of investment to invest in European technology and AI startups.

As reported by Reuters, a large investment fund called Moonfire Ventures has just raised $115 million to help invest in European technology and artificial intelligence (AI) startups. Founded by Atomico (a venture capital firm) co-founder Mattias Ljungman in 2020, this news will undoubtedly be welcomed by the tech industry across the continent.

Continue reading “$115 million raised by Moonfire Ventures for European AI startups” »

The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to easily produce realistic media content that integrates elements of different images or videos.

Inspired by these recent advances, researchers at Stanford University, UC Berkeley and Adobe Research have developed a new model that can realistically insert specific humans into different scenes, for instance showing them as they exercise in the gym, watch a sunset on the beach, and so on.

Their proposed architecture, which is based on a class of generative models known as diffusion models, was introduced in a paper pre-published on the arXiv server and set to be presented at the Conference on Computer Vision and Pattern Recognition (CVPR) 2023 in Vancouver this June.

Video I found on wearable robots.

Introducing an innovative solution that enhances your mobility WIM:
- It provides easy and safe walking.
- It enables effective exercise.
- It guides and reinforces your gait performance.

Continue reading “Extremely Lightweight Wearable Robot WIM!!” »

face_with_colon_three This new gold rush with AI will bring new jobs for even Psychiatry and Therapists which is already leading to new bots with human like therapists in texts. This could lead to even better mental health for the global population.

“Psychotherapy is very expensive and even in places like Canada, where I’m from, and other countries, it’s super expensive, the waiting lists are really long,” Ashley Andreou, a medical student focusing on psychiatry at Georgetown University, told Al Jazeera.

“People don’t have access to something that augments medication and is evidence-based treatment for mental health issues, and so I think that we need to increase access, and I do think that generative AI with a certified health professional will increase efficiency.”

Continue reading “ChatGPT is giving therapy. A mental health revolution may be next” »

A machine learning-based method developed by a Mount Sinai research team allows medical facilities to forecast the mortality risk for certain cardiac surgery patients. The new method is the first institution-specific model for determining the risk of a cardiac patient before surgery and was developed using vast amounts of Electronic Health Data (EHR).

Comparing the data-driven approach to the current population-derived models reveals a considerable performance improvement.

The demo is clever, questionably real, and prompts a lot of questions about how this device will actually work.

Buzz has been building around the secretive tech startup Humane for over a year, and now the company is finally offering a look at what it’s been building. At TED last month, Humane co-founder Imran Chaudhri gave a demonstration of the AI-powered wearable the company is building as a replacement for smartphones. Bits of the video leaked online after the event, but the full video is now available to watch.

The device appears to be a small black puck that slips into your breast pocket, with a camera, projector, and speaker sticking out the top. Throughout the 13-minute presentation, Chaudhri walks through a handful of use cases for Humane’s gadget: * The device rings when Chaudhri receives a phone call. He holds his hand up, and the device projects the caller’s name along with icons to answer or ignore the call. He then has a brief conversation. (Around 1:48 in the video) * He presses and holds one finger on the device, then asks a question about where he can buy a gift. The device responds with the name of a shopping district. (Around 6:20) * He taps two fingers on the device, says a sentence, and the device translates the sentence into another language, stating it back using an AI-generated clone of his voice. (Around 6:55) * He presses and holds one finger on the device, says, “Catch me up,” and it reads out a summary of recent emails, calendar events, and messages. (At 9:45) * He holds a chocolate bar in front of the device, then presses and holds one finger on the device while asking, “Can I eat this?” The device recommends he does not because of a food allergy he has. He presses down one finger again and tells the device he’s ignoring its advice. (Around 10:55)

Continue reading “Is buzzy startup Humane’s big idea a wearable camera?” »

Fitbits and Apple Watches weren’t designed for people with atypical health conditions. But the tech can be extremely useful—with some creativity.

(https://isbscience.org/bio/leroy-hood/) is Co-Founder, Chief Strategy Officer and Professor, at the Institute of Systems Biology (ISB) in Seattle, as well as CEO of Phenome Health (https://phenomehealth.org/), a nonprofit organization dedicated to delivering value through health innovation focused on his P4 model of health (Predictive, Preventive, Personalized and Participatory) where a patient’s unique individuality is acknowledged, respected, and leveraged for the benefit of everyone.

Dr. Hood, who is a world-renowned scientist and recipient of the National Medal of Science in 2011, co-founded the Institute for Systems Biology (ISB) in 2000 and served as its first President from 2000–2017. In 2016, ISB affiliated with Providence St. Joseph Health (PSJH) and Dr. Hood became PSJH’s Senior Vice President and Chief Science Officer.

Continue reading “Dr. Leroy Hood, MD, Ph.D. — Co-Founder, Institute of Systems Biology (ISB); CEO, Phenome Health” »

The adoption of AI in clinical settings has increased exponentially over the past decade, but AI models still haven’t achieved the level of ubiquity that they could within the sector.

A few years ago, a group of Mayo Clinic researchers recognized this major problem. The health system was producing a huge amount of research on AI in clinical contexts, but it was still having a hard time actually deploying those AI models at scale.

Continue reading “Mayo Clinic-born Startup Scores $7.7M for Its Clinical AI Deployment Platform” »