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Lumino Secure Multi-Party Computing: A New Generation Of Data Security Sharing Solution

Published

5 years ago

on

The Dilemma Of Digital Economy

The most critical and cardinal element of the digital economy is data. Data is the “oil” of digital economy. Hence, utilizing the “data oil” safely and efficiently is the focal point of global economic digital transformation. On the one hand, the digital economy has entered a high-speed development age. The global digital economy has reached 36.2% of global GDP. It is necessary to open up the “data island” among enterprises and establish an open and shared digital resource environment. On the other hand, the public is paying more and more attention to personal privacy and data security, and regulators have introduced a series of regulations to ensure information security. For example, car companies buy parts back and assemble them into cars, the ownership belongs to the car companies, while parts manufacturers also make it clear that once the parts are sold to factories, the factories have ownership. But the data level is more sensitive. Personal data include the face, voice, name, height and other sensitive personal privacy specifics. How to define the ownership of the data between these parties? At present, there are no clear legal provisions, nor the industry has clear answers. In foreign practice, the EU has made very strict data protection regulations, but the entire EU data information technology industry lags behind China and the United States.

Because data protection is too strict, data from different sources do not interact, data is not open and can not interact to generate value and to improve the efficiency of the economy as a whole. The EU is not a good example, because it does not balance the relationship between data privacy protection and the development of the data industry.

Privacy protection and data security need multi-party promotion

Facing the dilemma of data security and sharing, the “available and invisible” secure multi-party computing provides us with an innovative solution.

Secure multi-party computing is a calculation process performed by multiple participants. Multi-party computing technology includes inadvertent transmission, secret sharing and confusing circuit. Multi-party computing has the advantage of high confidentiality and maneuverability, and each party has absolute control over the data it owns. Secure multi-party computing can be applied to networks where participants are not trusted. Participants can know the agreed results of collaborative computation, but they can’t get or deduce the original contents of the data. The flow of data and the collaborative analysis are of great value in all industries, and have brought about a lot of application demands. There are two main scenarios in the market:

1) Data security query

In the big data age, the data that the enterprise holds itself often cannot satisfy the demand of business analysis, many enterprises will purchase the external data to expand the data source. When an enterprise uses an external database to query, it faces the risk of divulging the query condition information. MPC technology helps enterprises to set up a secure query to obtain more external data under the condition of ensuring their own data security, thereby deepening the digital transformation and making better use of big data technology to optimize business.

2) Data joint analysis

Joint analysis often faces two headwinds. On one hand, it is illegal to trade personal privacy information. On the other hand, data sharing makes data-holding companies lose their competitive edge. MPC technology, through inadvertently querying, makes the data not public, the query object not exposed, and the results can be correctly given feedback for, which has an important application in the financial risk control business.

Lumino: new ideas for secure multi-party computing

Lumino is a large-scale activity that uses secure multi-party computing protocols to generate zero knowledge proof system public reference string (CRS) in a de-trust manner, and it is a prerequisite and an important step for deploying and using privacy-related applications in a decentralized ecosystem. The activity now focuses on the PLONK algorithm. As a practical and efficient zk-SNARK algorithm, PLONK is often used in blockchain projects and communities, which is characterized by only one-time initialization process, i. e. running once, it can be used to support a variety of underlying circuit logic and multi-class application deployment.

Lumino’s vision, from the start, was to link the world’s cryptographic geeks to become co-creators and witnesses of privacy computing infrastructure, not just an event but a ritual. We changed the method of centralizing system parameters into a distributed one. For a truly community-based and open-source blockchain ecosystem, each of which is the most critical link, and each participant who joins makes the bottom one safer, which would be a ceremonial collective wisdom.

Lumino is the cornerstone of subsequent de-centering privacy protection applications based on zero-knowledge proof, and the subsequent de-centralization applications will be safer only if the activity is safely completed.

About Author

Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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Press Release

Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens

Published

1 hour ago

on

May 26, 2026

By

Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.

Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.

“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan

Why aggregation produces better pricing

Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.

The broadest token coverage of any market maker

API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.

For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.

Flexible connectivity and settlement

API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:

  • Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection

  • Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work

Settlement is handled through institutional partners, with options for fiat and stablecoins:

  • Hidden Road and BitGo Go Network for custodial settlement

  • Customers Bank CUBIX for fiat settlement in USD

  • USDT and USDC settlement available directly

Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.

About Caladan

Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.

About Author

Cloud PR Wire

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens

Published

1 hour ago

on

May 26, 2026

By

Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.

Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.

“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan

Why aggregation produces better pricing

Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.

The broadest token coverage of any market maker

API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.

For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.

Flexible connectivity and settlement

API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:

  • Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection

  • Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work

Settlement is handled through institutional partners, with options for fiat and stablecoins:

  • Hidden Road and BitGo Go Network for custodial settlement

  • Customers Bank CUBIX for fiat settlement in USD

  • USDT and USDC settlement available directly

Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.

About Caladan

Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.

About Author

Cloud PR Wire

See author's posts

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

AI Studios Launches Context-Aware Expressive TTS with 1,000+ AI Voices

Published

3 hours ago

on

May 26, 2026

By

Emotionally intelligent text-to-speech engine reads context automatically — no manual tags required 

Palo Alto, Calif, May 26th 2026, AI Studios, the AI video and voice synthesis platform by DeepBrain AI (CEO Jay Jang), today announced a significant upgrade to its expressive text-to-speech (TTS) engine, delivering emotionally intelligent AI voices that automatically adapt tone, pacing, and delivery to match the context of any content.

The global TTS market is projected to surpass $104 billion by 2034, driven by surging demand for AI voices that sound human — not synthetic. AI Studios’ upgraded engine addresses this directly, moving beyond flat narration to produce voices that interpret meaning, carry emotion, and perform with the nuance of a trained voice actor.

The system requires no manual instruction tags. Rather than relying on preset emotion labels, the AI reads punctuation, sentence structure, and semantic context to automatically apply the most fitting tone and delivery. A sentence that builds dramatic tension sounds different from one that announces breaking news — even without any additional prompting. Subtle vocal textures like whispers, laughter, and breath are also rendered with precision, adding depth and realism that standard TTS cannot replicate.

To serve a wide range of creators and use cases, AI Studios offers more than 1,000 AI voices organized by content category — news, audiobooks, short-form video, live commerce, and education. Each category is tuned for its context: news voices carry authority and clarity, audiobook narrators build emotional arcs, short-form and live commerce voices drive engagement and urgency, and education voices balance warmth with precision. Creators can find the right voice immediately, without recording sessions or audio editing.

The expressive TTS engine integrates with AI Studios’ custom avatar and AI voice cloning services. Combined with the platform’s digital human technology — which replicates a person’s face, expressions, and gestures — the result is video content nearly indistinguishable from a real person on camera. Brands and educators can also clone a specific speaker’s voice and personality, building a consistent AI voice talent that scales across every piece of content without additional studio time.

“We’re moving past AI that recites text,” said Jay Jang, CEO of DeepBrain AI. “Expressive TTS that reads context and performs accordingly is the new baseline — and it changes what’s possible across audiobooks, short-form video, AI avatars, and beyond.”

AI Studios serves clients across finance, education, media, public services, and marketing, providing tools for AI avatar creation, AI voice synthesis, dubbing, and text-to-video production. The platform is developed by DeepBrain AI, a South Korean generative AI company. 


About DeepBrain AI

DeepBrain AI is a global leader in AI Avatar, AI Agent, and AI Human technology. Its flagship B2B SaaS platform, AI Studios, helps enterprises create hyper-realistic AI avatars, real-time avatar agents, and localized video content at scale. Based in Palo Alto, Calif., DeepBrain AI serves enterprise customers worldwide.

Media Contact:
Selena Kim  · 
global@deepbrain.io
www.aistudios.com

About Author

Cloud PR Wire

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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