What’s Your Story: Lex Story
GEHRKE: Welcome, Lex. LEX STORY: Oh, thank you. GEHRKE: Really great to have you here. Can you tell us a little bit about what you’re doing here at MSR (Microsoft Research) … STORY: OK. GEHRKE: … and how did you…
Category For Dev’s
Quantum mechanical electronic and geometric parameters for DNA k-mers as features for machine learning
Schaller, R. Moore’s law: past, present and future. IEEE Spectrum 34, 52–59 (1997). Article Google Scholar Angermueller, C., Pärnamaa, T., Parts, L. & Stegle, O. Deep learning for computational biology. Molecular Systems Biology 12, 878, (2016). Article PubMed PubMed…
How to Fine-Tune a FLUX Model in under an hour with AI Toolkit and a DigitalOcean H100 GPU
FLUX has been taking the internet by storm this past month, and for good reason. Their claims of superiority to models like DALLE 3, Ideogram, and Stable Diffusion 3 have proven well founded. With capability to use the models being…
Beetle that pushes dung with the help of 100 billion stars unlocks the key to better navigation systems in drones and satellites
An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites. The dung beetle is the first known species to use the Milky Way…
Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection
Design and synthesize DNA and RNA oligos We designed oligo sequences following procedures reported in ref. 2 using the CURLCAKE software (). Specifically, we covered all possible DNA 6mers (4096 in total, median occurrence as 5) and RNA 5mers (1024…
An efficient segment anything model for the segmentation of medical images
Figure 1 Structure of the EMedSAM. In this section, the EMedSAM will be presented in detail. The structure of EMedSAM is shown in Fig. 1, which consists of three main parts: a lightweight image encoder, a prompt encoder, and a…
Adaptive 3D printing system to pick and place bugs and other organisms
A first-of-its-kind adaptive 3D printing system developed by University of Minnesota Twin Cities researchers can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly. This autonomous technology will save researchers time and money…
Integrating and Scaling Large Language Models with FastChat
Access the code to this tutorial and all other 500+ tutorials on PyImageSearch Enter your email address below to learn more about PyImageSearch University (including how you can download the source code to this post): …
Inference using OpenELM Models – DebuggerCafe
In this article, we will carry out inference using OpenELM models. We will use the official pretrained and instruction-tuned models for this. It is a very simple article to evaluate the provided models as they are. Also, this is a…
Clinical decision making in prostate cancer care—evaluation of EAU-guidelines use and novel decision support software
Guidelines are statements that include recommendations intended to optimize patient care that are informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options11. Whether in discussions with colleagues during multidisciplinary team…
New LLM Pre-training and Post-training Paradigms
The development of large language models (LLMs) has come a long way, from the early GPT models to the sophisticated open-weight LLMs we have today. Initially, the LLM training process focused solely on pre-training, but it has since expanded to…
Exploring the Convergence of Artificial Intelligence and Neuroscience
The combination of Artificial Intelligence (AI) and Neuroscience is still an exciting domain for scientific research. The study of human cognition intersects with intelligent machine development, catalyzing advances for both fields. This symbiotic relationship has the potential to revolutionize our…