IIT-Mandi develops AI framework to speed up molecular analysis, biomedical diagnostics

BioFASTNet enables automated interpretation of raw FTIR spectra without extensive preprocessing, reducing reliance on expert ...
GitHub

An Open-source Drug Discovery Engine

OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...
JD Supra

IP Diligence in the Age of AI: Why Standard Review Is No Longer Enough

IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...
GitHub

unconv-ai/Un-0

Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Tech Times

Mistral OCR 4 Ships: Structure-Aware Document AI Runs On Your Own Infrastructure

Mistral OCR 4 brings bounding boxes, typed-block classification, and 170-language document extraction to enterprises that ...
TechCrunch

This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory

Every time you ask ChatGPT a question, your request triggers a data relay race. Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then ...
Semiconductor Engineering

An FPGA-based Accelerator Addressing Bottlenecks in GNN Preprocessing (KAIST et al.)

A new technical paper “AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, ...
BioSpace

Embarrassingly FASTA reduces Recomputable, Population-Scale Pangenomics from $100 (commercial preprocessing) to < $1 in compute cost per genome

New GPU-powered system cuts genome processing time from hours to minutes, unlocking large-scale genetic discovery. Ecotone would like to share Embarrassingly_FASTA, a new systems-level genome ...
ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...