Allen AI is doing great applied research in the area of generative AI. With their release of Molmo, a family of multimodal models based on Olmo and Qwen2, they proved that good quality data can often triumph over larger models…
The suggested method consists of two primary processes: the selection process, which chooses the robot most suitable to fulfil the request, and recharge scheduling task, which uses a fuzzy logic algorithm to manage and organise the process of robot recharging.…
Process PDFs, Word documents and more with spaCy Source link
Dataset Images were obtained from the GTEx study44. GTEx dataset contains WSIs collected using an Aperio glass slides scanner using H&E staining43. Among the 53 available human tissues, we retained data associated exclusively to samples obtained from our designated tissues…
AI-based technologies are rapidly learning to see, converse, calculate and create. One thing they still don’t do well, however, is measure or “feel” surfaces — a purely mechanical function. “AI has more or less acquired the sense of sight, through…
I just upgraded my personal laptop from a 2019 Intel MacBook Pro to an M4 MacBook Pro. Like all my new devices, instead of restoring from a backup, I try to Marie Kondo my digital life and start from a…
We proposed a deep learning-based model for predicting the nAMD treatment outcomes. The model architecture consisted of an OCT record encoder (ORE), sequence fusion layer, and treatment predictor. The ORE analyzes the SD-OCT image and extracts an image representation vector…
Retrieval-augmented generation (RAG) allows AI systems to provide additional information and context to a large language model (LLM) when generating a response to a user query. However, traditional RAG-based methods can struggle to retrieve information that requires high-level knowledge of…
Overview of PocketGen Unlike previous methods focusing on protein sequence or structure generation, we aim to co-design both residue types (sequences) and three-dimensional (3D) structures of the protein pocket that can fit and bind with the target ligand molecules. Inspired…
Researchers at ETH Zurich are utilising artificial intelligence to analyse the behaviour of laboratory mice more efficiently and reduce the number of animals in experiments. There is one specific task that stress researchers who conduct animal experiments need to be…
Maroun Khoury emphasizes the need to draw on personal interactions and experiences when writing letters of recommendation.Credit: Damircudic/Getty As a principal investigator in a research laboratory that specializes in advanced therapies, I am routinely asked to write recommendation letters for…
Promptim is an experimental prompt optimization library to help you systematically improve your AI systems. Promptim automates the process of improving prompts on specific tasks. You provide initial prompt, a dataset, and custom evaluators (and optional human feedback), and promptim runs an optimization loop…