IEEE

S2DBFT: Spectral–Spatial Dual-Branch Fusion Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN)- and Transformer-based models have achieved remarkable success in hyperspectral image (HSI) classification tasks due to their outstanding ability to ...
IEEE

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov–Arnold Network

Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
MarketWatch

NYC bar uses prediction markets to hedge against a new financial risk: a Knicks victory

Wall Street investors use financial derivatives to hedge against shifts in interest rates and exchange rates. Farmers use them to lock in the price of their crops. Now, one New York City bar is using ...
ascopubs.org

Development and evaluation of a novel digital pathology image analysis pipeline for prediction of clinical outcomes with the TROP2-directed antibody-drug conjugate (ADC ...

Using ML to predict rapid progression for patients (pts) with HR+/HER2- metastatic breast cancer (mBC) treated with frontline (1L) CDK 4/6 inhibitors (CDK 4/6i). This is an ASCO Meeting Abstract from ...
WTVD

New Executive Order targets use of insider information in prediction markets

RALEIGH, N.C. (WTVD) -- Governor Josh Stein signed an Executive Order aimed at restricting how state employees interact with prediction markets, following growing concerns about insider information ...
The New York Times

How Prediction Markets and Crypto Firms Steamrolled a Watchdog Agency

The Commodity Futures Trading Commission purged its ranks, dialed back its enforcement and boosted industries in which President Trump’s family is heavily invested. The building in Washington that ...