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New SMU Master’s Programme Prepares Talent for AI-Driven Economic Roles

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MDSE responds to growing need for professionals who can interpret, not just build, AI models

SINGAPORE, May 11, 2026 /CNW/ — Singapore Management University (SMU) has launched the Master of Data Science in Economics (MDSE), Singapore’s first and only master’s programme that integrates data science and economics, to meet rising global demand for professionals who can apply artificial intelligence (AI) with domain expertise and analytical rigour.

As AI and machine learning (ML) become embedded in business and policy environments, the role of economists is evolving. Beyond building predictive models, there is increasing emphasis on interpreting outputs, assessing uncertainty, and understanding cause-and-effect relationships in complex, real-world data.

The MDSE is designed to address this shift. Through a curriculum that combines econometrics, AI and data science, students develop the ability to work with large-scale, multimodal datasets spanning numerical, textual and visual data, and to translate insights into decisions that carry economic and organisational impact.

“Globally, demand continues to grow for professionals with advanced skills in AI, machine learning and data science. At the same time, companies increasingly recognise the value of domain knowledge in economics,” said Daniel Preve, Associate Professor of Economics (Education) and Programme Director, MDSE.

“While many data science programmes emphasise predictive modelling and deployment, the MDSE places additional focus on causal inference and predictive uncertainty. These capabilities are critical when decisions depend on understanding not just what is likely to happen, but why.”

From predictive models to decision-ready insight 

A distinguishing feature of the MDSE is its emphasis on applying data science, AI, ML and econometric methods to support informed, accountable decision-making. Students are equipped to move beyond technical execution by learning to:

Apply econometric, AI and ML models to real-world economic and financial datasetsDistinguish between predictive and explanatory approaches, and understand when each is appropriateEvaluate model limitations and uncertainty in real-world decision contextsCommunicate insights clearly to business and policy stakeholders

Designed with employability in mind

The MDSE is structured to support both early-career entrants and mid-career professionals, with no prior programming experience required at entry. Foundational courses in probability and statistical learning build core competencies, while advanced modules develop applied expertise.

A strong focus on hands-on, industry-relevant training ensures graduates can demonstrate capability in tangible ways:

Experience working with large-scale economic and financial dataProficiency in key programming tools and data systemsExposure to real-world problem statements through applied projectsDevelopment of shareable, interactive portfolios for prospective employers

Through elective courses, students engage with practitioners from Singapore’s fintech and digital economy, gaining exposure to current industry applications and tools, as well as opportunities to earn relevant certifications.

Addressing a structural talent gap

As organisations adopt AI at scale, the differentiator is increasingly the ability to apply and interpret data meaningfully within context. This has created sustained demand for professionals who combine technical fluency with domain expertise.

“AI is changing how work is done, while making human judgement, interpretation and domain knowledge even more important,” said Associate Professor Preve. “Graduates who can work confidently with data, understand its limitations, and apply it to real economic questions will be well-positioned across a wide range of roles.”

The career pathways that are open to MDSE graduates span sectors including financial services, government, consulting and technology, in roles such as data scientist, economic analyst and policy specialist.

SMU’s broader push in applied AI education

The launch of the MDSE builds on the University’s track record in developing practice-oriented, AI-related postgraduate programmes that respond directly to evolving industry needs.

Recent initiatives include the region’s first technology-focused Doctor of Business Administration (DBA), offered jointly with Fudan University and the Master of Science in Business AI. Together, these programmes reflect SMU’s continued focus in equipping talent with the competencies and life skills to thrive in the evolving workplace.

SMU placed amongst the global top 40 for Business & Management Studies, and notched a strong 52nd spot for Economics & Econometrics, in the QS World University Rankings by Subject 2026.

In support of accessibility, the University offers a comprehensive range of scholarships and financial support schemes for eligible MDSE students.

Applications for the inaugural August 2026 MDSE intake are now open. Find out more here.

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SOURCE Singapore Management University (SMU)

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AKEEYO to Showcase 711Air, 750S and H2 Ride Cameras at EICMA 2026

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SHENZHEN, China, Oct. 26, 2026 /PRNewswire/ — AKEEYO, a brand dedicated to dash cams and ride cameras, will exhibit at EICMA 2026, November 3–8 at Fiera Milano Rho, Italy. At Hall 24, Booth B67, the brand will showcase the 710Lite, 730Pro, 750Lite, 750S, 711Air and H2, spanning lightweight recording, 4K image quality and helmet-view capture.

711Air Makes Everyday Recording Simple

Weighing just 80g, the new 711Air adds minimal weight to a helmet, while its 1800mAh battery supports 8–10 hours of recording. One-touch quick recording, with vibration feedback confirming power on/off and recording start/stop, means riders never need to look at the camera. It also offers up to 36 hours of Always On Video (AOV) monitoring, plus 2.4GHz Wi-Fi, app connectivity and over-the-air (OTA) firmware updates.

750S Captures the Road in True 4K HDR

The 750S combines true 4K HDR recording with electronic image stabilization (EIS) for detailed, steadier riding footage. Dual-band Wi-Fi supports stable connections and efficient video transfers, while app access and OTA firmware updates simplify video management and keep the camera up to date. It is designed for touring riders, cyclists and anyone seeking high-quality recordings.

H2 Records from the Rider’s Perspective

Designed for helmet-view recording, the H2 features dual 1080p cameras that capture two perspectives at once, along with 8–10 hours of runtime and a 3-second quick-release mount. Its lightweight, easy-to-use design suits daily rides and longer motorcycle journeys.

Also on display are the AKY-730Pro 4K touchscreen camera, the ultra-compact AKY-710Lite and the endurance-focused 750Lite.

Visit AKEEYO at EICMA 2026

Dates: November 3–8, 2026
Booth: Hall 24 • Booth B67
Venue: Fiera Milano Rho
Address: Strada Statale del Sempione 28, 20017 Rho (MI), Italy

For AKEEYO, EICMA 2026 is the right stage to introduce the 711Air to riders, media and the global two-wheeler industry. Visitors can handle the 80g body and try one-touch recording in person, and dealers and distributors interested in partnering with AKEEYO are welcome to fill out the inquiry form.

About AKEEYO

AKEEYO designs dash cams and ride cameras for cars, motorcycles and bicycles, helping users record the road and relive their journeys.

Website: www.akeeyo.com 

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For A Bright Future Foundation Launches NextGen Finance Lab Across Manhattan High School District, New York

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District-wide rollout brings project-based financial literacy and professional mentorship to Manhattan’s 50 public high schools, building on a successful pilot at Jacqueline Kennedy Onassis High School

NEW YORK, Oct. 26, 2026 /PRNewswire/ — Louis Hernandez Jr.’s Foundation For A Bright Future (“For A Bright Future,” “FABF”), a 501(c)(3) nonprofit organization dedicated to expanding educational opportunity for underserved youth, today announced the district-wide expansion of its NextGen Finance Lab program into the Manhattan High School District. In partnership with the Manhattan High School District Team, under the supervision of Superintendent Gary Beidleman, FABF will launch the program’s first cohort of 8 high schools this fall, with plans to bring the NextGen Finance Lab to additional Manhattan high schools in the semesters that follow as part of a phased, district-wide rollout.

“At Jacqueline Kennedy Onassis, we saw firsthand what this program can do. Our students left Pitch Like A Dragon more confident, more articulate, and more prepared to manage their own financial futures than I’ve seen from any other initiative we’ve run. I’m proud that the model our students and teachers helped build is now reaching classrooms across Manhattan,” said Manuel A. Ureña, Principal, Jacqueline Kennedy Onassis High School.

The NextGen Finance Lab is a project-based financial literacy program that integrates the Dave Ramsey Financial Literacy curriculum with FABF’s FinTech mentorship ecosystem. Throughout the program, students build core skills in budgeting, saving, debt elimination, investing, and entrepreneurship, while working directly with FinTech industry professionals who share real-world perspective on banking, digital wallets, investing, and career pathways in financial technology. The program culminates in “Pitch Like A Dragon,” a school-level and district-level competition in which student teams pitch original business and FinTech concepts to a panel of industry leaders, venture capitalists, and New York City business professionals, with scholarship awards presented to top teams.

“This expansion is proof of what’s possible when a nonprofit, a school district, and industry partners commit to the same goal. Everything we’re scaling today started as a pilot at Jacqueline Kennedy Onassis High School, where educators and students helped shape the curriculum and the ‘Pitch Like A Dragon’ event structure now being adopted by seven more schools this fall. That’s how one school’s success becomes a lasting pathway for thousands of students across Manhattan,” said Gina Rogoto, SVP, Operations and Programs, For A Bright Future Foundation.”This expansion demonstrates the collective impact achievable through aligned partnerships. The model shaped at  Jacqueline Kennedy Onassis (JKO) High School now serves as a lasting foundation for advancing financial literacy for thousands of students across Manhattan,” said Gina Rogoto, SVP, Operations and Programs, FABF. The success at JKO High School, now fueling district‑wide deployment, was strengthened by the guidance of FABF’s Consultant in Academic Affairs and former Senior Deputy Chancellor of the NYC Department of Education, whose deep expertise helped shape a program adaptable to each school’s unique vision and academic priorities.

FABF and the Manhattan High School District Team have confirmed the following schools for the initial launch cohort:

Leadership and Public Service High SchoolJacqueline Kennedy Onassis High SchoolHigh School for Law and Public ServiceMurry Bergtraum High School for Business CareersHigh School of Fashion IndustriesHudson High School of Learning TechnologiesMott Hall High School: Finance Lab ProgramFood and Finance High School

FABF’s long-term goal is to bring the NextGen Finance Lab to all 50 high schools in the Manhattan District, expanding in phased cohorts over the coming semesters.

“As someone who spent a career in financial services, I know how much of a difference it makes when young people are exposed to these concepts early. This program doesn’t just teach students about money; it gives them the confidence to pitch real ideas, take feedback, and think like entrepreneurs,” said Benson Porter, Program Chairman, NextGen Finance Lab, FABF.

About For A Bright Future Foundation

Louis Hernandez Jr’s Foundation For A Bright Future is a 501(c)(3) not-for-profit organization that empowers underserved youth with equitable access to education, technology, financial capability, and wellness. We help students develop future‑ready skills that unlock lifelong opportunity and support thriving global communities. Learn more at www.fabff.org. 

FABF operates programs nationwide, including the NextGen Finance Lab, the NextGen Media Creators Lab, the merit- and need-based scholarships, and youth leadership development, working directly with schools, districts, and industry leaders to bridge opportunity gaps for the next generation.

Media Contact
Gina Rogoto, SVP, Operations and Programs
For A Bright Future Foundation
gmr@forabrightfuturefoundation.org

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SOURCE Louis Hernandez Jr.’s Foundation For A Bright Future

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VOICEBUDS, A QUIETER WAY TO WORK WITH VOICE, NOW AVAILABLE FOR HOLIDAY SHIPPING

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Voicebuds reinvent earbuds for personal voice computing, even below a whisper

SAN MATEO, Calif., Oct. 26, 2026 /PRNewswire/ — Subtle announced today that Voicebuds, its award-winning private voice computing device, is available to ship in time for the 2026 holiday season, with customers ordering by December 10th receiving their devices by December 24th.

Since Voicebuds were unveiled in January, AI voice dictation has surged in popularity, but the fundamental problems with voice input remain unsolved. Dictating aloud is awkward in open offices, offers little privacy in public spaces, and remains unreliable when others are speaking nearby.

With Voicebuds, Subtle has reinvented the earbud as a private voice interface that works even at a whisper. The device combines Subtle’s breakthrough voice isolation technology with an AI voice computing app for iPhone and Mac, enabling discreet, reliable voice computing in the places where people actually live and work. Voicebuds serve as both premium everyday earbuds for music and calls, and a personal computing device for voice dictation and AI. They are designed for voice productivity in crowded commutes, quiet libraries, noisy cafes, and shared spaces where traditional voice tools have always failed.

“It’s been inspiring to hear from our beta testers using Voicebuds to prompt AI in shared offices without booking a quiet booth, dictate on planes without bothering their seatmates, and take calls amid the noise and bustle of their daily lives,” said Tyler Chen, cofounder and CEO of Subtle. “We’re incredibly excited to put Voicebuds in the hands of all of our customers just in time for the holidays and hear what new use cases they come up with.”

In Subtle’s internal testing across real-world noise environments, Voicebuds delivered up to 5X fewer transcription errors than AirPods Pro 3 combined with leading AI dictation software.

Voicebuds offer:

Subtle voice dictation: Write with voice in any app on iPhone and Mac, without being overheard.Voice notes: Capture thoughts and ideas instantly, and access them across multiple devices.Contextual AI chat: Brainstorm with an AI assistant, without being overheard.Music and calls: Everyday listening, noise cancellation, multipair connectivity and clear calls.

For holiday shoppers, Voicebuds replace multiple devices and apps as a single product for listening, communication, and voice computing that finally works in the real world.

Voicebuds are available starting today for $249 in either Parchment White or Ink Black. Voicebuds ship with a 1-year membership to the Subtle app for iPhone and Mac, providing a complete voice productivity experience across dictation, contextual AI chat, and cross-device voice notes. After year one, users can continue the full Subtle Pro membership for $17 per month, or switch to the free tier anytime with full earbud functionality and limited AI usage.

Customers can order now at subtle.co.

About Subtle

Subtle is pioneering personal voice computing technology, designed to make voice the most effective, trusted interface anywhere. Its machine learning technology powers consumer hardware for whispered, private, and noise-resilient voice AI that works in real-world environments. Founded by Stanford engineers and based in the San Francisco Bay Area, Subtle is supported by funding from Entrada Ventures, Amplify Partners, Abstract Ventures, and founders of Twitter, Pinterest, and Perplexity. Learn more at subtle.co.

Media Contact

press@subtle.co

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SOURCE Subtle Computing

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