From a Trace to Money FlowHow we built an interactive visualization to uncover money launderingIn a crime scene, any small trace can become evidence, like a string of hair or a fingerprint. But in financial crime, evidence is often fleeting and can go unnoticed. The challenge is, how can you visualize money laundering when the goal is to conceal it?Our answer was to design the Money Flow visualization: a tool to make funds that were once considered invisible into the light.Money laundering is successful when it is untraceable, when the weave is either so dense it’s impossible to parse or the…
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]
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When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The next pandemic may not offer the same head start. To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google […]
New research from GitHub and Yale Program on Climate Change Communication finds strong demand for tools, measurement, and practical guidance that can help developers reduce wasted compute. The post Developers want more efficient software. Here’s what over 1000 GitHub users told us they need. appeared first on The GitHub Blog.
Automatic Key Exchange probes TLS 1.3-capable customer origins to learn which key agreement algorithms they support. We then lead with the most secure algorithm when connecting to the origin, preferring post-quantum connections wherever the origin supports it.
In 2024 and 2025, we reassessed remote Spectre attacks on our Workers infrastructure. We share details about the new attack primitives like Spectre gadgets, remote timers, achieving co-location and how new defenses further harden Cloudflare Workers.
RFC 9234 lets routers reject route leaks on their own, using BGP Roles and the Only to Customer attribute. We measured who has deployed it, and found two Tier 1 networks unexpectedly stripping OTC.
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TL;DR: This post relates findings about language migration from the 2025 State of Developer Ecosystem survey. In general, project requirements are still the most common reasons for switching languages. One outlier from this trend, however, is Kotlin. People switch to Kotlin not because they have to; they switch because it simply feels better to work […]
TL;DR KotlinLLM is now public. It’s a research prototype for delegating runtime logic to an LLM from Kotlin code. Instead of calling an LLM on every request or running a separate agent, you can write an explicit Kotlin call. Its body is generated Kotlin source code, and that code is updated as your application hits […]
A few years back, the Kotlin team figured it was time their programming language had a mascot – something fun and friendly to make developers feel more at home. After all, so many other programming languages have their own characters – Gofer, elePHPant, Dart’s Dash, or Rust’s Ferris, for example. Bringing Kodee to life wasn’t […]
Authors: Ahmed Ben Yahmed, Antoine Schnepf, Karim Kassab, and Mélissa Tamine.The 14th International Conference on Learning Representations (ICLR 2026) was held from April 23 to 27, 2026, at the Riocentro Convention and Event Center in Rio de Janeiro, Brazil. It was the first time the conference made its way to South America. As one of the three flagship venues in machine learning, ICLR gathers each year several thousand researchers and practitioners from academia and industry around the latest advances in representation learning.This edition was particularly vibrant, with a strong emphasis on…
Author: Alain RakotomamonjyFrom ideation to outcome, this is the story of a privacy-preserving research project. It tells how research can generate innovations but also joy and despair.Early 2024: The “Hammer” PhaseTwo research leads who pioneered Criteo’s early privacy initiatives, as part of the Criteo multi-year research program, introduced me to a challenge born from the Privacy Sandbox era: Learning from Label Proportions (LLP). The data was no longer granular; we were looking at “bags” of samples where only the aggregate label distributions were known.I let the problem sit. Research…
Uncovering the Shape of Fraud with Cosmos Explorer: Visual Metaphors Behind Millions of TransactionsThe Data Visualization Research team is developing Cosmos Explorer, an interface that leverages universe-related visual metaphors to convey information about the billions of transactions processed by Feedzai. Pedro Cruz, professor at Northeastern University, partnered with Feedzai to bring this idea to life by contributing with his creativity and expertise to solve this challenging visualization problem.https://medium.com/media/1b2ecfadd91d204640462f89fa6ff67f/hrefWhen we look out into the…
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IntroductionOver the years, we have evolved from using simple, often rule-based algorithms to sophisticated machine learning models. These models are incredibly good at finding patterns in large datasets, but due to their complexity it is frequently challenging for a human to understand why a certain input leads to its respective output. This is especially problematic in areas where high-stakes decisions are being made and where human-AI collaboration is critical.This is why model explainability has gained traction in recent years. The aim of explainability methods is to shed light on what…
By Sofia Guerreiro, Ricardo Ribeiro Pereira, Iker Perez, Jacopo BonoDetecting financial fraud is like finding a moving needle in a shifting haystack. Fraud accounts for a tiny fraction of financial transactions, often less than 0.1%. At the same time, fraudsters are constantly adapting their tactics to evade detection. And this happens within a live and dynamic environment, where financial behaviors and technologies are changing over time. In short, this is an exceptionally difficult problem for financial institutions.With the rise of digital banking and new technologies like GenAI, this…
Every year, millions of people fall victim to financial fraud. In 2023, the losses tied to this type of crime were estimated at US$159 billion just in the US, with some people losing all of their retirement savings to scammers.However, the impacts of this issue stretch beyond someone’s finances. It can also impact a victim’s life in many dimensions. Detecting and quickly acting upon suspicious transactions is essential to tackle this problem.Finding Fraud Through Data TablesTo review the data of alerted transactions, analysts look at information in tabular format (similar to what is presented…
Digital systems have become deeply integrated into many aspects of modern life, particularly within the financial sector. While digital banking simplifies day-to-day operations for clients, it also creates new opportunities for malicious actors to exploit these systems. As a result, money laundering has grown particularly prevalent due to this digital expansion.Banks are required to monitor for money laundering activities and issue alerts when suspicious transactions are detected. Typically, monitoring is performed by rules-based legacy systems. A better approach would be to use Machine…
By Sérgio Jesus, Inês Silva, Pedro Saleiro, Hugo Ferreira, Pedro BizarroIn this blog post we will visit Aequitas Flow, an Open-Source framework designed to run complete and standardized experiments of Fair ML algorithms. We encourage you to try Aequitas Flow with the Google Colab Notebooks, which are available in the project’s GitHub repository.This blog post is based on the paper by Sérgio Jesus, Pedro Saleiro, Inês Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, and Rayid Ghani.Table of Contents:1. What is Aequitas Flow?- 1.1. For Practitioners selecting a model- 1.2.…
In the world of financial services, the bank or financial institution’s relationship with the customer relies on digital trust, which is anchored in two fundamental principles. First, it must ensure the person engaging through digital banking channels is genuinely the individual they claim to be. Second, it must confirm that this person is authorized to complete the intended financial transaction.Addressing these crucial requirements is the core mission of Feedzai’s Digital Trust solution. The solution collects and analyzes comprehensive user behavioral data, scrutinizes device information…
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