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Spain’s Royal Academy of Engineering Elects Professor Marcos López de Prado as International Member

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The election recognizes Professor López de Prado’s contributions to computational science and financial machine learning over an international career spanning three decades and three continentsProfessor López de Prado joins a select group of only 71 international membersCurrent and former international members include distinguished scientists and technologists, among them Nobel laureates, Turing Award winners, and members of foreign national academies

ABU DHABI, UAE, July 2, 2026 /PRNewswire/ — The Real Academia de Ingeniería, Spain’s Royal Academy of Engineering and the country’s national academy in the field, has elected ADIA Lab Advisory Board member Professor Marcos López de Prado as an international member (Académico Correspondiente), in recognition of his pioneering contributions to computational science and financial machine learning.

 

 

Established by Royal Decree and integrated into the Institute of Spain, the Academy belongs to CAETS, the global council of leading national engineering academies. Its mission is to place engineering expertise at the service of the public interest: providing independent advice to governments and public authorities, advancing engineering science and its technological applications, disseminating knowledge, and setting standards and best practices. Election to the Academy is among Spain’s highest scientific honors, a distinction currently held by only 71 international members.

In addition to his role with ADIA Lab, Professor López de Prado is Global Head – Quantitative Research & Development at the Abu Dhabi Investment Authority (ADIA), Professor of Practice at Cornell University’s College of Engineering, Research Fellow at Lawrence Berkeley National Laboratory (U.S. Office of Science), and Professor of Practice at Khalifa University’s Department of Mathematics. In 2024, he was awarded the Officer’s Cross of the Royal Order of Civil Merit, a major state decoration, by His Majesty King Felipe VI and the Government of Spain.

The Academy’s election of Professor López de Prado recognizes his role in establishing financial machine learning as a rigorous discipline at the intersection of engineering, computational science, statistics and investment practice, as well as the international adoption and influence of his methods across academia and the investment industry.

Membership is for life, limited in number, and not open to application. Election follows a peer-led process: candidates are nominated by Academy members, evaluated by the Admissions Board, and elected at a plenary session by an absolute majority of all members entitled to vote. Current and former international members include distinguished scientists and technologists, among them Geoffrey Hinton (Nobel Prize, Physics), Zhores Alferov (Nobel Prize, Physics), Werner Arber (Nobel Prize, Medicine), Norman Borlaug (Nobel Prize, Peace), John Hennessy (Turing Award), Judea Pearl (Turing Award), Maurice V. Wilkes (Turing Award), and around 60 members of foreign national academies.

Professor López de Prado is the first member of the Academy elected with residence in the United Arab Emirates, further strengthening the Academy’s links with the UAE’s scientific and technological ecosystem. He will formally receive the medal and diploma of international membership at the investiture ceremony that will be held this October at the historic Palace of Villafranca in Madrid, where the Academy is headquartered.

H.E. Jaime Domínguez Abascal, President of the Academy, remarked: “Professor López de Prado’s election acknowledges his central role in pioneering engineering methods that solve complex financial problems, as well as his development of machine learning algorithms now deployed across the global investment industry. His work bridges academia and practice, demonstrating how engineering principles and methods can enhance high-stakes decision-making in domains of broad economic, societal and institutional importance.”

Dr. Horst Simon, ADIA Lab’s Director, commented: “Election to a national academy is among the highest honors a scientist can receive. Professor López de Prado’s election is a proud moment for ADIA Lab and further underscores the exceptional caliber of our Advisory Board, which includes several Nobel Prize laureates, Turing Award winners, and National Academicians. We warmly congratulate Marcos on this well-deserved recognition.”

Professor López de Prado expressed his appreciation for this election: “I am grateful to Spain’s Royal Academy of Engineering, whose members exemplify scientific and technological excellence around the world. Engineering is not limited to physical artifacts—it is the disciplined design of solutions to technical problems under real-world constraints. Financial machine learning applies engineering methods to one of society’s most complex systems: global financial markets. I am honored that the Academy embraces this vision, and I hope my election inspires future generations to pursue engineering approaches to finance for the advancement of knowledge and the benefit of society.”

About Marcos López de Prado

Dr. Marcos López de Prado is Global Head – Quantitative Research & Development at the Abu Dhabi Investment Authority (ADIA), and a founding board member of ADIA Lab, Abu Dhabi’s center for research in data and computational sciences. He is also a Research Fellow at Lawrence Berkeley National Laboratory, part of the U.S. Department of Energy, and Professor of Practice at Cornell University’s College of Engineering. In 2024, His Majesty King Felipe VI and the Government of Spain appointed him Knight Officer of the Royal Order of Civil Merit, “for distinguished services to science and the global investment industry.” The U.S. Congress has invited him to testify on AI policy, he is the named inventor on 15 patents, and the Social Science Research Network (SSRN) ranks him among the 10 most-read authors in Economics. He has published several influential graduate textbooks and more than 100 scientific journal articles with over 50 co-authors, including several Nobel laureates. For more information, visit https://QuantResearch.org/

About ADIA Lab

ADIA Lab is an independent institution engaged in basic and applied research in Data Science, Artificial Intelligence, Machine Learning, and High-Performance and Quantum Computing, across all major fields of study. This includes exploring applications in areas such as climate change and energy transition, blockchain technology, financial inclusion and investing, decision making, automation, cybersecurity, health sciences, education, telecommunications, and space. Based in Abu Dhabi, ADIA Lab is an independent, standalone entity supported by the Abu Dhabi Investment Authority (ADIA), a globally-diversified investment institution that invests funds on behalf of the Government of Abu Dhabi. ADIA Lab has its own governance and operational structure, and is guided by an Advisory Board of global thought leaders in data and computationally-intensive disciplines, to pursue its research independently. For more information, visit https://www.adialab.ae/

About Spain’s Royal Academy of Engineering

The Real Academia de Ingeniería is Spain’s Royal Academy of Engineering and the country’s national academy in the field. Created by Royal Decree 859/1994, it forms part of the Institute of Spain, which brings together Spain’s national Royal Academies. The Academy falls under the High Patronage of His Majesty King Felipe VI, a constitutional function assigned to the King by Article 62(j) of the Spanish Constitution. Its mission is to place engineering expertise at the service of the public interest: providing independent advice to governments and public authorities, advancing engineering science and its technological applications, disseminating knowledge, and setting standards and best practices. The Academy is officially headquartered at the historic Palace of Villafranca, a prominent cultural heritage site in central Madrid, which was formally inaugurated by His Majesty King Juan Carlos in 2010. It is a member of the International Council of Academies of Engineering and Technological Sciences (CAETS), the global council of leading national engineering academies, alongside institutions such as the U.S. National Academy of Engineering and the UK Royal Academy of Engineering. It is also a founding member of the European Council of Applied Sciences and Engineering (Euro-CASE). For more information, visit https://www.raing.es/

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1stProtect and Multiverse Computing Partner to Deliver Secure AI Inference at the Edge — No Cloud Required

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Strategic partnership pairs Multiverse’s quantum-inspired model compression with 1stProtect’s real-time runtime enforcement, giving enterprises private, high-performance AI that runs — and stays protected — entirely on-device.

SAN FRANCISCO, July 3, 2026 /CNW/ — 1stProtect, the Silicon Valley runtime security company founded by veterans of CrowdStrike, Symantec, and Cisco, today announced a strategic partnership with Multiverse Computing, the global leader in quantum-inspired AI model compression, to deliver a first-of-its-kind integrated solution for secure AI inference at the edge. The collaboration unites Multiverse’s ability to shrink advanced AI models so they run directly on-device with 1stProtect’s real-time enforcement that governs exactly what those models and agents are allowed to do — enabling enterprises to deploy powerful AI without sending a single byte to the cloud.

As organizations race to put generative and agentic AI into production, two constraints have emerged as the biggest barriers to adoption: cost and control. Cloud-based inference is expensive and raises data-sovereignty and latency challenges for regulated industries, while autonomous AI agents introduce a new class of runtime risk that traditional prompt filters and endpoint detection tools were never designed to stop. This partnership is built to address both at once.

Under the partnership, the two companies will develop an integrated solution that extends AI capabilities on-device, with no cloud activity required. Multiverse’s CompactifAI compression technology reduces the size of leading large language models by up to 95% with only 2–3% precision loss, enabling roughly 4x–12x faster processing and 50–80% lower inference costs on hardware ranging from smartphones to industrial edge devices. 1stProtect’s runtime enforcement layer then wraps that on-device inference in continuous, sub-100-millisecond protection — blocking prompt injection, model theft, and unauthorized agent actions the moment they occur, online or fully offline.

The combined offering is purpose-built for the environments where AI has been hardest to deploy safely: air-gapped and operational-technology (OT) systems, defense and critical infrastructure, healthcare, financial services, and any setting where data sovereignty, low latency, or unreliable connectivity make cloud AI impractical.

“This partnership brings a uniquely secure inference solution to the edge for the benefit of our customers. As enterprises move into an era of agentic and AI-driven threats, they need the freedom to run powerful models anywhere — without surrendering control. Together with Multiverse, we’re proving that on-device AI can be both remarkably efficient and rigorously protected. This partnership strengthens our commercial offering and validates the growing demand for runtime protection purpose-built for AI.”

— Kervin Pillay, Chief Executive Officer, 1stProtect

“1stProtect’s cutting-edge technology makes them the optimal partner to integrate with Multiverse’s on-device AI models. Their AI Agent Protection, a verified design together with Multiverse,  is best in class. Compressing world-leading models so they fit on-device was the first breakthrough; making sure those agents run securely wherever they are deployed is what turns edge AI into an enterprise reality. This is the first killer application for on-device AI models and this partnership brings ubiquitous cyber security right to the device that matters: the one at your fingertips.”

— Enrique Lizaso Olmos, Chief Executive Officer, Multiverse Computing

Availability

The integrated solution builds on 1stProtect’s AgentProtect, which is generally available today. Prospective customers can request an Agent Exposure Assessment at 1stprotect.ai or contact the sales team directly to learn more about deploying secure, compressed AI at the edge.

About 1stProtect

1stProtect is a runtime security company delivering unified enforcement for the post-perimeter world. Built by veterans of the teams that defined modern security — including CrowdStrike, Symantec, and Cisco — 1stProtect governs what AI agents and models are actually allowed to do, enforcing the boundaries every agent must stay inside on every action, in real time, on-device, and fully offline. Its single SIGMA engine runs a suite of protection modules in user space with sub-100-millisecond latency and no kernel drivers, and is SOC 2 Type II compliant. Learn more at 1stprotect.ai.

About Multiverse Computing

Multiverse Computing is the global leader in quantum-inspired AI model compression. The company’s CompactifAI technology uses tensor networks to compress leading large language models by up to 95% with only 2–3% precision loss — dramatically reducing inference cost and energy use while enabling advanced AI to run at the edge, from smartphones to disconnected industrial systems. Backed by a syndicate of leading global investors, Multiverse is headquartered in San Sebastián, Spain, with offices across Europe, North America, and beyond. Learn more at multiversecomputing.com.

Investor Contact:
1stProtect  —  Investor & Customer Enquiries
info@1stprotect.ai

Media Contact:

Scott Deveau
August Strategic Communications
1stProtect@augustco.com

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Poland’s Andrzej Bargiel Skis First Continuous Oxygen-Free Descent Of Nanga Parbat

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The Red Bull athlete links summit to snowline in one unbroken line, completing a decade of 8,000-metre first descents across Pakistan

NANGA PARBAT BASE CAMP, Pakistan, July 3, 2026 /PRNewswire/ — Red Bull athlete Andrzej Bargiel (Poland) has become the first person to climb and ski Nanga Parbat from summit to snowline in a single continuous descent, completed entirely without supplemental oxygen. Bargiel, 38, finished the line on June 30 during his Hic Sunt Leones – Nanga Parbat Ski Challenge 2026 expedition on the mountain’s Diamir Face, in Pakistan’s Western Himalayas.

Nanga Parbat rises 8,126 metres and holds one of the deadliest records among the world’s 8,000-metre peaks. No previous expedition had connected its summit to the end of skiable snow in one unbroken line, despite multiple earlier attempts.

Bargiel left Base Camp (4,200 m) at 6 a.m. on June 28, climbing without bottled oxygen and overnighting at Camp II (6,200 m) and Camp III (6,850 m). He reached the summit on June 30 and spent 45 minutes there before switching to skis. Bargiel then descended the Messner Route, navigating a serac barrier that had previously forced climbers off their skis, and completed the descent at 3 p.m. below Camp I (4,400 m). He spent two hours above 7,900 metres, inside the mountain’s death zone. The full round trip from Base Camp to summit and back took two days and nine hours.

“I knew that the success of this project would depend on the right timing and the right conditions in the mountains. I’m happy that we were able to find a line that made it possible to complete the entire descent safely. I’d like to thank the whole team and Red Bull for their support,” Bargiel said.

With Nanga Parbat, the Red Bull-supported athlete becomes the first person to have climbed and skied Broad Peak, K2, Gasherbrum I, Gasherbrum II, Everest and Nanga Parbat without supplemental oxygen — a project he began on Broad Peak in 2015.

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“The Power of Datafication” Published: Observing the Evolution of Digital Civilization Through Chinese Practice

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CAIRO, July 3, 2026 /PRNewswire/ — Amid the accelerating development of artificial intelligence and the digital economy, digital transformation has become a key direction for global industrial upgrading. Recently, the Arabic edition of The Power of Datafication—authored by Guo Wei, Chairman of Digital China—was officially published, marking its first release for Arabic-speaking readers following the earlier Chinese and English editions.

Drawing on extensive real-world transformation cases from Chinese enterprises, the book explores core topics such as the digital economy, data assets, cloud computing, artificial intelligence, and digital infrastructure. It offers Arabic-speaking readers a fresh perspective for understanding the digital practices of Chinese companies. Since its launch, the translated edition has been featured in special reports by prominent Arab mainstream media outlets, including Egypt’s Al-Wafd and Al-Bawaba.

The book clearly states that digital transformation is not merely a technological upgrade nor limited to process optimization and efficiency gains characteristic of traditional informatization. True digital transformation involves converting data into a new factor of production and transforming business operations into sustainably appreciating data assets. This shift propels enterprise development from “efficiency improvement” to “value creation,” driving profound changes in industry and society.

Based on long-term industrial practice, the book proposes the “Data Cloud Integration” framework: by digitizing business assets and building a flexible, unified cloud platform foundation, it enables data integration and reuse. Leveraging the foundational capabilities of data and cloud computing, AI further empowers business operations, elevating digitalization from “seeing the business” to “understanding the business and participating in decision-making.”

Building on this, “Data Cloud Integration” extends into the concept of “AI for Process.” AI is not just a tool but a force capable of deeply restructuring corporate processes, decision-making mechanisms, and organizational collaboration. As AI technology becomes increasingly accessible, it will break down industry-specific technical barriers and help enterprises achieve systematic upgrades—from technological infrastructure to management models and value systems.

For Arabic-speaking regions currently advancing economic diversification, digital infrastructure, and industrial upgrading, the content of this book holds practical reference value. Digitalization empowers industrial transformation and fosters youth development, while also opening new possibilities for cross-regional technological exchange and mutual learning. The publication of the Arabic edition adds practice-based digital research findings to the Arabic-speaking world and provides local readers with valuable insights into global digital trends and pathways for indigenous transformation.

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