Lifeboat Foundation

Gas bubbling up from a lava-covered surface on the exoplanet 55 Cancri e may feed an atmosphere rich in carbon dioxide or carbon monoxide.

Located a mere 41 light years from Earth, the exoplanet 55 Cancri e is so intensely hot that scientists once doubted its ability to sustain an atmosphere. However, a recent study conducted by a national team of scientists suggests 55 Cancri e may be the first rocky exoplanet confirmed to have an atmosphere.

Published in Nature, the paper titled “A Secondary Atmosphere on the Rocky Exoplanet 55 Cnc e” was authored by researchers from NASA’s Jet Propulsion Laboratory, the California Institute of Technology, the University of Chicago, the University of New Mexico (UNM).

The research explores the potential of supercapacitors as a faster-charging and longer-lasting alternative to traditional batteries.

The tech that gets the most attention isn’t always the most useful, affordable, or practical.

DARPA has showcased six innovative design concepts for its AdvaNced airCraft Infrastructure-Less Launch And RecoverY (ANCILLARY) program, aimed at enhancing the capabilities of small vertical take-off and landing (VTOL) uncrewed aerial systems (UAS).

Recent experimental advancements have enabled more accurate and in-depth analysis of these materials during and after formation. The review article examines two decades of research on the non-classical formation pathways of soft and organic crystalline materials. It details the current theoretical understanding of how these materials form through non-classical pathways, including distinguishing the processes of nucleation and growth across models.

Advances in experimental methods, including in-line scattering/spectroscopy detection, cryo microscopy, and in situ liquid-phase characterization, and their application to studying soft and organic crystalline materials are also discussed.

These experimental techniques have provided strong evidence for non-classical crystallization pathways, leading to key breakthroughs in understanding these processes. However, the sole presence of a specific final product or intermediate does not prove that a material formed via a specific pathway.

Fiber sensors conform to skin:

In another scientific marvel inspired by the wonder that is spider silk, researchers have developed an innovative method to create adaptive and eco-friendly sensors that can be seamlessly and invisibly printed onto various biological surfaces, such as a finger or a flower petal.

This breakthrough in high-performance bioelectronics allows for the customization of sensors on a wide range of surfaces, from fingertips to the delicate seedheads of dandelions, by printing them directly onto them.

NVIDIA has accelerated its GPU, CPU & AI roadmap significantly as stated by CEO, Jensen Huang, during the latest earnings call.

NVIDIA Will Be Launching Next-Gen GPUs, CPUs & AI Solutions Much Faster Than Everyone Else, Shifts To A 1-Year Cadence Instead of 2-Year

NVIDIA’s current roadmap includes the likes of Hopper H200 and its follow-up Blackwell in B100 & B200 GPUs. The company also previously teased X100 GPUs though we know from recent reports that the actual next-gen architecture comes as the Rubin “R100” series which looks like a major breakthrough for the company based on the specs, performance, and efficiency data that has been laid out.

I found this on NewsBreak: #Design

Leveraging advanced computational techniques in physical sciences has become vital for accelerating scientific discovery. This involves integrating large language models (LLMs) and simulations to enhance hypothesis generation, experimental design, and data analysis. Automating these processes aims to streamline and democratize access to cutting-edge research tools, pushing the boundaries of scientific knowledge and improving efficiency across various scientific domains.

Researchers face a significant challenge in effectively simulating observational feedback and integrating it with theoretical models in physical sciences. Traditional methods often need a universal approach that can be applied across various scientific fields, leading to inefficiencies and limiting the potential for innovative discoveries. The need for a more comprehensive and adaptable framework is evident to address this issue and advance scientific inquiry.

Continue reading “This AI Paper Introduces the Scientific Generative Agent: A Unified Machine Learning Framework for Cross-Disciplinary Scientific Discovery” »

The codes to replicate the simulations of the paper: Available at: https://arxiv.org/abs/2405.12832 and also: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4835325

For now, we just added the codes to…

In this paper, we introduce Wav-KAN, an innovative neural network architecture that leverages the Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework to enhance interpretability and performance. Traditional multilayer perceptrons (MLPs) and even recent advancements like Spl-KAN \cite{kan} face challenges related to interpretability, training speed, robustness, computational efficiency, and performance. Wav-KAN addresses these limitations by incorporating wavelet functions into the Kolmogorov-Arnold network structure, enabling the network to capture both high-frequency and low-frequency components of the input data efficiently. Wavelet-based approximations employ orthogonal or semi-orthogonal basis and also maintains a balance between accurately representing the underlying data structure and avoiding overfitting to the noise. Analogous to how water conforms to the shape of its container, Wav-KAN adapts to the data structure, resulting in enhanced accuracy, faster training speeds, and increased robustness compared to Spl-KAN and MLPs. Our results highlight the potential of Wav-KAN as a powerful tool for developing interpretable and high-performance neural networks, with applications spanning various fields. This work sets the stage for further exploration and implementation of Wav-KAN in frameworks such as PyTorch, TensorFlow, and also it makes wavelet in KAN in wide-spread usage like nowadays activation functions like ReLU, sigmoid in universal approximation theory (UAT).