Discover why the S&P 500 could hit 7,500 by 2026. Explore market drivers like AI, Fed policy, and asset growth.

Bitcoin is the archetype of an unbacked cryptocurrency with no intrinsic value, says Jean Tirole, the 2014 Nobel laureate in ...

The global fascination with cryptocurrencies shows little sign of fading. What began as a fringe technological experiment has ...

In this week’s Crypto Long & Short Newsletter, Jared Lenow’s insights on the DOJ’s increased focus on crypto seizures and ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of ...

Liz Manning has researched, written, and edited trading, investing, and personal finance content for years, following her time working in institutional sales, commercial banking, retail investing, ...

The RBI consolidated all credit rules for rural co-operative banks in 2025, tightening digital lending, gold loans, microfinance and guarantees to improve transparency, borrower protection and risk ...

The Directions unify multiple credit-related instructions into a single framework for RRBs. They reinforce prudential safeguards while promoting responsible and transparent lending ...

Abstract: Optimization-based safety filters, such as control barrier function (CBF) based quadratic programs (QPs), have demonstrated success in controlling autonomous systems to achieve complex goals ...

Abstract: Diverging from conventional explicit geometric representations, neural implicit representations utilize continuous function approximators to encode 3D surfaces through parametric ...

This repository contains the official PyTorch implementation for the ICME 2024 paper titled "Dynamic Implicit Image Function for Efficient Arbitrary-Scale Super-Resolution" by Zongyao He and Zhi Jin.

Implicit Neural Representations (INRs) have emerged as a powerful framework for representing continuous signals. However, generating diverse INR weights remains challenging due to limited training ...