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Early Results of Rooted School Foundation’s “The $50 Study” Include Promising Findings

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The $50 Study is a first of its kind study to measure the impact of direct, unconditional, cash transfers on teens. Results and findings from cohort I of a multi-year Randomized Controlled Trial show that students who receive direct cash transfers experience improved school attendance, reading level and financial capability. 

NEW ORLEANS, Aug. 12, 2024 /PRNewswire/ — Rooted School Foundation is excited to share preliminary findings and results from “The $50 Study”, an innovative guaranteed income program aimed at high school students in New Orleans and Indianapolis. Since its inception in 2020, The $50 Study has reached over 400 students, making it one of the largest studies of its kind globally. From 2022-2024, Rooted School Foundation (RSF) facilitated a Randomized Controlled Trial (RCT) in which two cohorts of students received $50/week for 40 weeks. The results from the first cohort offer a promising outlook on the ways guaranteed income can impact high school students.

Treatment group reading scores grew 0.5 years vs 0.25 for control group in same period, showing greater improvement.

Cohort I Key Findings

The first cohort included 156 students from Rooted School New Orleans and Rooted School Indianapolis; 82 students were in the treatment group receiving $50/week for 40 weeks during the 2022-2023 school year. The remaining students were in the control group and did not receive the cash transfers. Preliminary results from of the study, compiled by the Center for Guaranteed Income Research and the University of Tennessee-Knoxville, are directionally promising as they suggest that direct cash transfers impact students’ lives in the following ways:

Students in the treatment group missed two fewer days of school (over a semester) compared to those in the control group. As students are required to be present a specific number of days for both grade promotion and graduation, the impact of decreased absenteeism can have a significant impact on students’ educational outcomes.Lexile (reading) score levels grew more for students in the treatment group (0.5 years growth) compared to those in the control group (0.25 years growth) over the same time period. Reading level is a key indicator of educational success, both in high school and after graduation.Students in the treatment group improved their knowledge and habits related to managing money. While financial literacy was not explicitly taught to students in the treatment group, the findings from survey responses suggest that students’ who receive the cash transfers deepen their financial capability.Transaction data shows that students predominantly used the money for basic needs such as food and transportation. Approximately 47% of money transferred to students in cohort I was still in bank accounts at the end of the study, suggesting that students are also intentionally saving their money.

“When young people have access to money – and the stress relief inherent within that access – transformative outcomes are possible. These outcomes transcend credit attainment, Lexile growth, and excellent attendance numbers… This transcendence means actively walking the path to financial freedom every day.” – Kaitlin Karpinski, Rooted School New Orleans Executive Director and School Leader

Impact on The Field
While many guaranteed income pilots and studies explore and highlight the positive impacts of guaranteed income for adults, minimal research has been done to understand the implications of direct cash transfers on youth, specifically through the lens of academic outcomes. This study starts to fill that gap, showing that small cash transfers can improve school performance, increase financial capability, and improve well-being. RSF is in the final months of cohort II of the RCT (230 students total; 91 in treatment), and will have results from both cohorts available in 2025.

“We know that the odds for upward economic mobility are increasingly stacked against young people, particularly those from lower income backgrounds and marginalized identities. This study, the first ever conducted with high schoolers, shows that when young people are trusted and supported with unconditional cash, they invest in their futures – improving their reading ability, class attendance, and capacity to manage money. Expanding The $50 Study will not only lead to improved outcomes for more students, but will also further the research base for the impact of these programs” – Dr. Stacia West, Co-Founder, Center for Guaranteed Income Research, University of Pennsylvania; Associate Professor, University of Tennessee

The $50 Study Expansion Plans
Building on the success of the RCT, RSF is preparing to launch “The $50 Study: Long Term Impacts of Unconditional Cash for High School Students” in partnership with The City of New Orleans’ Office of Economic Development. This RCT study will include 1,600 New Orleans public high school seniors; 800 students will receive $50/week for 40 weeks. Students will continue to be enrolled in the study for an additional 46 months after the transfers end to further understand the impact of the cash transfers on long-term outcomes, such as college enrollment and persistence.

RSF has invited all open enrollment charter high schools in Orleans Parish to participate in the expanded $50 Study. The following schools have opted-in to participate: Rooted School New Orleans, New Harmony High School, Sophie B. Wright High School, InspireNOLA Schools: Edna Karr High School, McDonough 35 College Preparatory High School and Eleanor McMain Secondary School, Collegiate Academies Schools: Abramson Sci Academy, G.W. Carver High School and Livingston Collegiate Academy, and EQA Schools: The NET: Central City, The NET: East, and The NET: Gentilly. RSF will keep the invitation to participation open until September 1, 2024.

“The Office of Economic Development is thrilled to be an investor in ‘The $50 Study,'” said Jeff Schwartz, Director of Economic Development at the City of New Orleans. “This unique guaranteed income study enrolling public high school students will produce results that will inform policy and programming as we all work toward a more equitable and inclusive city. This study meets students where they are and provides opportunities for economic mobility that will surely create lasting impacts for individuals and in the larger community.” – Jeffery E. Schwartz, Director of Economic Development, City of New Orleans

“With The $50 Study, we’re charting new territory in youth economic empowerment and education. Our initial observations are intriguing, showing potential in areas like school engagement and financial capability. However, we’re cautious about drawing broad conclusions at this early stage. What’s clear is that this approach warrants further exploration. As we expand the study, we hope to gain deeper insights that could inform future educational strategies and economic policies for young people.” – Jonathan Johnson, Founder and CEO of Rooted School Foundation, who is also an Advisor with the Guaranteed Income & Health Consortium at Johns Hopkins Bloomberg School of Public Health

Support for The $50 Study
Individuals and organizations interested in investment or involvement in The $50 Study can connect with the team by emailing youthcashtransfer@rootedschool.org, listening to participant stories on The Rooted Cash Podcast, or donating to the program here.

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SOURCE Rooted School Foundation

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

SOURCE Walnut Coding

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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