JAKARTA, Indonesia, Sept. 2, 2026 /PRNewswire/ — From September 2–5, 2026, GONEO will make its next stop on the global stage at IEE in Jakarta, Indonesia, marking another step forward in GONEO’s global expansion.

At IEE, GONEO will showcase a diverse portfolio spanning wall switches and sockets, power track systems, healthy lighting, and smart home solutions, while strengthening connections with customers and industry partners across Indonesia and the wider Southeast Asian market.

From Europe to Asia: Accelerating Global Expansion

Since the beginning of 2026, GONEO has appeared at major international exhibitions including KEY – The Energy Transition Expo in Italy and Light + Building in Germany.

These exhibitions provide important platforms for GONEO to introduce its products, engage with global partners and deepen its understanding of local markets. Backed by more than three decades of expertise in R&D, manufacturing, quality and design, GONEO Group is steadily bringing its capabilities to a broader global audience.

Bringing Better Living Experiences to the World

Across these international exhibitions, GONEO’s products have received positive feedback for their thoughtful design, quality craftsmanship and practical innovation.

GONEO’s wall switch and socket series combines refined craftsmanship with modern aesthetics. The GG56 Series features a minimalist, ultra-slim design with a 6.4 mm-thick switch body and an opening angle of just 2°, creating a clean, seamless look.

GONEO also showcased its smart home solutions, enabling one-touch control of multiple devices and customizable modes through the app. The Power Track features flexible outlet configuration for diverse power needs.
Behind these products is a long-term commitment to home aesthetics and international design. Through ongoing collaboration with leading global design institutions and designers, GONEO continues to integrate international design perspectives with insights into diverse lifestyles, exploring how function, materials, and aesthetics can create better experiences within modern living spaces.

From Product Expansion to Global Brand Building

Today, GONEO Group products have reached more than 100 countries and regions worldwide, including key markets across Asia and Europe. GONEO continues to strengthen localization, distribution networks, and partnerships to establish a sustainable presence in diverse markets.

In 2026, GONEO plans to participate in professional exhibitions across 12 countries and regions, with upcoming stops including Indonesia, France, and Dubai.

Guided by its global brand vision, “Powering Beautiful Living,” GONEO is moving beyond product expansion toward long-term global brand building—bringing quality, innovation and thoughtful design to more homes around the world.

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SOURCE Goneo Group Co.，Ltd.

Researchers at Allora Labs demonstrate that intentionally worsening individual AI models through genetic mutations improves their collective performance

NEW YORK, Sept. 2, 2026 /PRNewswire/ — Current AI systems are limited by their inability to adapt when the world they were trained on changes. A new paper by the Chief Scientist at Allora Labs proves mathematically that this fundamental limitation can be overcome using the same evolutionary principles that generated intelligence in nature. The research shows that introducing deliberate random mutations into a population of AI models enables the population to collectively outperform any single optimized model as the world around it changes. The paper is titled “Flawed in Nature, Perfect through Evolution” and is published in the journal Allora Decentralized Intelligence.

“Any single AI model, no matter how well trained, accumulates error the moment the world it was trained on changes,” says Dr. Diederik Kruijssen, Chief Scientist at Allora Labs and the paper’s author. “This is an inescapable information-theoretic ceiling. We prove that a population of deliberately diversified models breaks through that ceiling, for the same reason that biological species survive environmental change. They exhibit pre-existing variation, some of which is well-suited to the post-change world.”

The key insight draws directly from evolutionary biology. In nature, species maintain genetic variation through mutation. Most mutations are harmful to the individual organism, but the population benefits because some variants happen to be well-suited to new conditions when the environment shifts. This research demonstrates that the same principle applies to AI model populations: each mutated model is individually worse, but the best model in the mutated swarm outperforms the best model in an optimized swarm approximately 80% of the time when conditions change.

“The idea that individual imperfection enables collective adaptation is well-established in evolutionary theory, but seeing it formalized with mathematical guarantees for artificial systems is a significant step. This work opens a new dimension for thinking about AI robustness under changing conditions.”
— Prof. Steven Longmore, Liverpool John Moores University, AI-driven biodiversity conservation

The paper’s four mathematical theorems prove, step by step, that no single model can escape this performance ceiling, and that a population of mutated models provably breaks through it. Numerical experiments validate all four theorems, with the mutated swarm’s combined output outperforming the original at high statistical significance.

The advantage peaks when the rate at which models mutate roughly matches the rate at which the environment is changing: a “Goldilocks zone” that mirrors evolutionary dynamics. The optimal regime is broad: there is about a hundredfold range around the peak, and the penalty for mutating too slowly is gentle, while mutating too fast degrades performance sharply. This forgiving behavior opens up practical applications.

Nick Emmons, CEO of Allora Labs, says about the work: “As AI systems are deployed in financial markets, healthcare, autonomous vehicles, and other environments that change constantly, the inability to adapt to shifting conditions has become their primary failure mode. Most AI research focuses on making individual models bigger and faster. We think the bigger gain is in how populations of models interact and evolve, and this work proves that’s the right perspective.”

“The qualities we associate with intelligence, like originality, adaptability, and creativity, all require the ability to perform well under conditions you’ve never encountered before,” says Dr. Kruijssen. “Current AI models can’t do that. They replicate what they’ve learned, but they don’t adapt to the unknown. A population of evolving models can. That’s what this work demonstrates, and it’s what evolution has been doing for billions of years.”

The paper outlines several future directions, including the application of the Flawed-in-Nature principle to large language models through fine-tuning methods, its extension to decentralized AI networks, and the development of a controller algorithm that tunes mutation strength automatically without requiring knowledge of how the environment changes. “A result like this opens up so many downstream directions,” adds Dr. Kruijssen. “Our team has already built the controller that makes this principle work in practice, and the work on several concrete applications has started too.”

About Allora Labs

Allora Labs is the main developing contributor to Allora Network, a decentralized AI inference network that harnesses a globally distributed community of machine learning models to produce highly accurate, context-aware predictions in real time. Founded by CEO Nick Emmons, Allora Labs conducts research in swarm intelligence, model coordination, and inference synthesis. The company has partnered with organizations including AWS, Alibaba Cloud, Saudi Telecom, and Vodafone’s Pairpoint, and has raised backing from investors including Polychain, Framework, Blockchain Capital, and CoinFund. To learn more, visit alloralabs.xyz and allora.network.

About Allora Decentralized Intelligence

Allora Decentralized Intelligence (ADI) is a scholarly research journal publishing innovation in decentralized machine intelligence, model coordination, and swarm intelligence. ADI was founded and is led by Dr. Diederik Kruijssen, Chief Scientist at Allora Labs. He is an AI/ML researcher and astrophysicist with 20 years of experience in state-of-the-art quantitative modeling across research, tech, finance, and web3, and authored more than 300 peer-reviewed publications.

Paper details

Title: “Flawed in Nature, Perfect through Evolution”Author: J. M. Diederik KruijssenJournal: Allora Decentralized Intelligence, Volume 3, 1-32Publication date: September 2, 2026https://doi.org/10.70235/allora.0x30001arXiv:2609.00129

Media contact

Phi Tran
VP of Marketing, Allora Labs
phi@alloralabs.xyz

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SOURCE Allora Labs

Recognizing local, regional, and global achievements across AI products, services, platforms, applications, and solutions creating measurable customer and business value

SAN FRANCISCO, Sept. 2, 2026 /PRNewswire/ — The Globee® Awards announced that nominations are currently being accepted for the 3rd Annual Globee® Awards for Artificial Intelligence, inviting organizations worldwide to nominate achievements involving artificial intelligence products, services, and solutions.

Learn more and apply at: https://globeeawards.com/artificial-intelligence/

Artificial intelligence continues to create new capabilities across industries and business functions. The program welcomes achievements involving generative AI, agentic AI, AI agents, machine learning, enterprise AI, intelligent automation, conversational AI, computer vision, predictive analytics, AI platforms and infrastructure, cybersecurity, healthcare, financial services, and other established and emerging applications of artificial intelligence.

Nominations may represent new or established products, services, platforms, applications, and solutions, including significant enhancements, new capabilities, successful implementations, customer impact, improved performance, operational efficiency, innovation, and other measurable outcomes.

Organizations of all sizes may participate, including startups, small and medium businesses, large enterprises, technology providers, service providers, research-driven organizations, and other eligible organizations worldwide.

While the Globee® Awards for Artificial Intelligence are now in their third year, the broader Globee® Awards organization traces its recognition programs to 2003, with a history of recognizing workplace and business achievements across evolving industries and technologies.

Local, regional, and global achievements are welcomed, recognizing that meaningful advances in artificial intelligence can originate anywhere and create measurable value at any scale.

Entries are evaluated through a merit-based, data-driven process involving participation from professionals across multiple industries worldwide and defined scoring criteria.

About the Globee® Awards

The Globee® Awards are organizers of merit-based, data-driven business awards programs with worldwide participation. Across 10 awards programs, the Globee® Awards recognize achievements across multiple industries and sectors. The programs use a structured evaluation approach involving participation from professionals across various industries.

Follow: @globeeawards

Hashtags: #GlobeeAwards #ArtificialIntelligence #AIAwards #AIProducts #AISolutions #GenerativeAI #AgenticAI #EnterpriseAI #MachineLearning #AIInnovation #TechnologyAchievements #GlobalRecognition

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SOURCE Globee Awards