Lifeboat Foundation

DLB is a common cause of dementia. It starts by the abnormal accumulation of the protein alpha-synuclein in the brain. This produces degeneration of the brain and causes problems with thinking, movement, and behavior. Eventually, the disease leads to dementia and death. Doctors use a imaging technique called FDG-PET to assess how the brain is affected in DLB. However, until now, there was no information on how these brain changes develop over time.

The study, led by Dr. Daniel Ferreira at the Department of Neurobiology, Care Sciences and Society, followed 35 patients with DLB, 37 patients with early-stage DLB (called prodromal DLB), and 100 healthy people from Mayo Clinic (USA), for an average of 3.8 years. The researchers found that brain degeneration starts early in prodromal DLB and worsens as the disease progresses.

“We discovered that people with prodromal DLB had faster degeneration in certain brain areas compared to healthy individuals,” said Dr. Ferreira.” This information is crucial for monitoring disease progression from early stages and planning clinical trials for new treatments.”

Continue reading “Longitudinal FDG-PET Metabolic Change Along the Lewy Body Continuum” »

Second, Synchron will explore the development of a groundbreaking foundation model for brain inference. By processing Synchron’s neural data on an unprecedented scale, this initiative will create scalable, interpretable brain-language models with the potential to transform neuroprosthetics, cognitive expression, and seamless interaction with digital devices.

“Synchron’s vision is to scale neurotechnology to empower humans to connect to the world, and the NVIDIA Holoscan platform provides the ideal foundation,” said Tom Oxley, M.D., Ph.D., CEO & Founder, Synchron. “Through this work, we’re setting a new benchmark for what BCIs can achieve.”

NEW YORK—(BUSINESS WIRE)— Synchron, a category-defining brain-computer interface (BCI) company, announced today a step forward in implantable BCI technology to drive the future of neurotechnology. Synchron’s BCI technology, in combination with the NVIDIA Holoscan platform, is poised to redefine the possibilities of real-time neural interaction and intelligent edge processing.

Synchron will leverage NVIDIA Holoscan to advance a next-generation implantable BCI in two key domains. First, Synchron will enhance real-time edge AI capabilities for on-device neural processing, improving signal processing and multi-AI inference technology. This will reduce system latency, bolster privacy, and provide users with a more responsive and intuitive BCI experience. NVIDIA Holoscan provides Synchron with: (i) a unified framework supporting diverse AI models and data modalities; (ii) an optimized application framework, from seamless sensor I/O integration, GPU-direct data ingestion, to accelerated computing and real-time AI.

Continue reading “Synchron to Advance Implantable Brain-Computer Interface Technology with NVIDIA Holoscan” »

W/ Dr. Chirag Shah of University of Washington.

Jeff Bezos, the billionaire founder of Amazon, has always been a visionary investor, known for his early stakes in companies like Airbnb and Uber. In 2024, Bezos has turned his attention to a new frontier: AI-powered robotics. This bold move signifies a major shift as Bezos bets on the next wave of technological innovation, aiming to revolutionize industries and everyday life.

In April of last year, Marko Bjelonic, co-founder and CEO of Swiss-Mile, a Zurich-based robotics company, reached out to Bezos with a detailed proposal—an Amazon-style “6-Pager”—to pitch his company’s vision. Bjelonic recalls, “I was pleasantly surprised by Jeff’s patience and relaxed demeanor.” What was initially a planned 30-minute call extended to an hour, feeling more like a conversation than a formal interview.

This meeting led Bezos to co-lead a $22 million funding round for Swiss-Mile in August. Swiss-Mile is developing AI-driven robots that resemble headless dogs with wheels instead of feet, designed to deliver packages autonomously. These robots are currently undergoing trials on Zurich’s streets, marking a significant step towards commercial deployment. According to Bjelonic, “Our goal is to see these robots reliably deliver packages from point A to point B, enhancing efficiency and reducing human labor.”

Protons and other subatomic particles that are subject to the strong nuclear force have a complex structure that involves even more fundamental constituents called quarks and gluons. These quarks and gluons bind under the influence of quantum chromodynamics (QCD). QCD is the theory of strong interaction of quarks and the role of color symmetry.

However, the mechanisms that lead to quarks and gluons combining to form the particles we see in nature are very mysterious and poorly understood. For example, virtual quarks and gluons constantly appear and disappear within our current picture of the dynamics in the proton. So, which quarks and gluons are actually “in” a proton is a difficult question to answer.

Much of the experimental work related to extracting the quark and gluon structure of protons occurs at existing particle accelerators like the Thomas Jefferson National Accelerator Facility and the Relativistic Heavy Ion Collider, and in the future at the Electron Ion Collider.

Emily Simpson has loved space since she was a 10-year-old kid celebrating her birthday at a planetarium. Now a recent Florida Tech graduate, she leaves with not only a dual degree in planetary science and astronomy and astrophysics but with published research, too. She mapped our solar system’s “alternate fate” had it housed an extra planet between Mars and Jupiter instead of the existing asteroid belt.

Simpson’s paper, “How might a planet between Mars and Jupiter influence the inner solar system? Effects on orbital motion, obliquity, and eccentricity,” was published in Icarus, a journal devoted to the publication of research around solar system studies. It was co-authored by her advisor, assistant professor of planetary science Howard Chen.

They developed a 3D model that simulates how the solar system’s orbital architecture may have evolved differently with the formation of a planet that is at least twice the size of Earth’s mass—a super-Earth—instead of an asteroid belt.

More data releases are coming, and with it more discoveries, but many already wondering what’s next.

A supermassive black hole in a distant galaxy is rewriting the rules of astrophysics, with unprecedented activity that has left astronomers around the world both fascinated and perplexed. Plasma jets traveling at record-breaking speeds and rapid X-ray fluctuations near the event horizon are just some of the strange phenomena observed in real time. What secrets is this cosmic behemoth revealing, and how might it reshape our understanding of black holes?

00:00 — Self-Improving Models.
00:23 — AllStar Math Overview.
01:34 — Monte-Carlo Tree.
02:59 — Framework Steps Explained.
04:46 — Iterative Model Training.
06:11 — Surpassing GPT-4
07:18 — Small Models Dominate.
08:01 — Training Feedback Loop.
10:09 — Math Benchmark Results.
13:19 — Emergent Capabilities Found.
16:09 — Recursive AI Concerns.
20:04 — Towards Superintelligence.
23:34 — Math as Foundation.
27:08 — Superintelligence Predictions.

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Continue reading “Researchers STUNNED As A.I Improves ITSELF Towards Superintelligence (BEATS o1)” »