Press Release
LikeLib2.0 Technical Features, Redefining Public Chain
Based on the country’s strategy to promote the development of blockchain, we focus on the core issues of blockchain applications in various fields, take typical blockchain applications as an important breakthrough, promote breakthroughs in key application technologies of blockchain, and study blockchain service architecture, data Key technologies such as access technology, hybrid storage, data source, cross-chain and sharding, blockchain and IoT intelligent system integration, and develop a basic platform for blockchain services, in blockchain education and training, e-government, supply chain, and carry out application demonstrations in key areas such as finance to open up the innovation chain, application chain and value chain, thus providing common and secure blockchain basic support capabilities.
Recently the technical features of LikeLib2.0 public chain system are announced through the media.
LikeLib2.0 provides a secure and stable blockchain service basic platform, covering more than 3 core modules with independent intellectual property rights, such as data connection, hybrid storage, and cross-chain technology, which is able to quickly build solutions for typical application scenarios.
Compared with LikeLib1.0, LikeLib2.0 has a higher level of improvement in core technology architecture, and the transaction speed is about 10000TPS.
The newly released 2.0 system will not only merge transaction program fees, but also copy forks of the blockchain and increase the volume of transfer transactions. The average transaction value can be distributed among the running nodes.
In addition, there have been steady improvements in supporting smart contracts, exchangeable consensus mechanisms, and various storage networks. It can replace the blockchain consensus mechanism and the basic IPFS distributed storage network according to different factors (such as transaction volume), which can store a large amount of data outside the chain.
LikeLib2.0 uses database fragmentation technology. Within the database of LikeLib2.0 public chain system, only a small part of the input transactions need to be processed, and a large amount of verification work can be completed through other conventional parallel processing on the network.
Here, BTC and LikeLib seem to be merchants from two countries. The two parties cannot trust each other and use different currencies, so they cannot directly trade.
Therefore, the two parties negotiated a set of rules (equivalent to a relay chain protocol) and established a special trading venue to handle transactions, jointly managed by large merchants (equivalent to gateways) in their own country as representatives. These large merchants also need to have a sufficient amount of assets as security.
The whole process is called a cross-chain bridge, which has technical advantages such as multi-signature technology/ring signature technology/hash locking.
LikeLib2.0 uses Lightning Network transactions and zero configuration transaction channels.
Both parties transfer funds to a common payment channel and conduct transactions by transferring funds from one end to the other. The existing hosting solutions on the Lightning Network only manage their users’ funds on one or a few, and they will not use one channel with each user. Instead, an internal private ledger is kept to record when the funds belong to the user.
Therefore, users do not have to wait for the payment channel to be broadcast to the chain. The result is a decentralized network of custodians, with each custodian running a centralized subnet with users.
Earlier we mentioned the ring signature technology in the LikeLib2.0 cross-chain bridge. The ring signature is named because a certain parameter implicit in the signature is composed according to certain rules. However, many schemes proposed later do not require the structure of the signature to be a ring, as long as the formation of the signature satisfies the spontaneity, anonymity and group characteristics, and it is also called a ring signature.
In fact, the security of the ring signature technology scheme is quite high, such as: unconditional anonymity, unforgeability, unconditional anonymity of the signer, and the signer can freely specify his own anonymity range, forming a beautiful ring logic structure, which can realize group signatures The main function of but does not require trusted third parties or group administrators.
Ring signature is a special group signature. There is no trusted center and no group establishment process. For the verifier, the signer is completely anonymous.
In terms of zero-knowledge proofs, in theory, it is possible to prove something to everyone else without exposing anything significant, and the volume of the generated proof is small, the proof cost is very low, and it has nothing to do with the amount of calculation that needs to be proved.
LikeLib2.0 uses the generation algorithm (G) to generate public parameters for the proposition, the proof algorithm (P) to generate the proof of the satisfiability of R1CS, and the verification algorithm (V) to verify the proof and other technical methods and means to finally generate the proof. It can be proved that there is a secret value reset equation satisfied without revealing the secret.
Data traceability, from the perspective of application, focuses on the process and method of tracking.
The “decentralized and distributed” technology of LikeLib2.0 records all information publicly on the “public ledger”, and can only be entered and cannot be modified. Due to the feature of multiple parties jointly maintaining the simultaneous ledger, the traditional information island problem is broken and decentralized management is realized.
In this open distributed accounting system, the blockchain provides users with openness and consensus; decentralized and transparent transactions and anonymity for both parties.
The data traceability annotation is a technique for tracing the source, reproduce the historical state and evolution process of the data according to the trace path, and realize the redirection of the historical data archives.
The World Wide Web has continued to iterate for thirty years before it has today’s prosperity and “Internet +”. If we still have confidence in the blockchain in 2020, perhaps we should give it more time. Obviously, the LikeLib2.0 public chain system has given the blockchain industry a gratifying answer in 2020.
About Author
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.
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
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.
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
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.
Guangdong Baizhilin New Material Technology unveils a 45-color reflective gel range with toxin-free formulation for the EU and USA markets
Guangzhou, Guangdong, China, 26th May 2026 – Guangdong Baizhilin New Material Technology Co., Ltd., a professional UV gel polish manufacturer established in 2014, has highlighted the growing demand for new reflective nail products through its BOZLIN Ice Blue Reflective Gel collection. The product line combines reflective glitter technology, salon-quality formulation, and toxin-free standards designed for the EU and USA markets.
The BOZLIN Ice Blue Reflective Gel collection has been developed to meet increasing global interest in reflective nail art products that deliver both visual impact and long-lasting performance. Featuring a 45-color ice-blue reflective gel nail polish range, the collection is designed to create a distinctive blue broken-diamond reflective effect using ultra-fine diamond glitter technology.
Reflective Diamond Effect and Long-Wear Application
According to the company, each shade in the collection reacts differently under varying lighting conditions and nail bases, allowing users to achieve multiple visual styles from a single bottle. Compared to conventional glitter gel products, the reflective diamond powder incorporated into the formula produces a more intense sparkle under sunlight and flash lighting.
The collection has been formulated with smooth application and self-leveling properties intended to support both professional salon use and at-home application. Guangdong Baizhilin New Material Technology Co., Ltd. stated that the formula is designed to minimize streaking and clumping while maintaining vivid color payoff and high-gloss shine after curing.
The company noted that the gel polish can maintain wear for more than 21 days when applied correctly with base gel and top gel polish under UV or LED curing lamps for 60–120 seconds. The formula also emphasizes flexibility and adhesion to improve comfort and durability during wear.
HEMA-Free Formula for EU and USA Markets
As part of its product positioning for international markets, the BOZLIN Ice Blue Reflective Gel collection is manufactured with a HEMA-free, TPO-free, and TMPTA-free formula. The company stated that the product uses 10 toxin-free ingredients and is designed to provide a low-odor and skin-friendly experience while reducing the risk of nail bed damage commonly associated with lower-quality products.
Guangdong Baizhilin New Material Technology Co., Ltd. explained that the BOZLIN product line meets salon-quality standards while addressing growing consumer demand for cleaner formulations in nail beauty products across the EU and USA.
Controlled Manufacturing Process
The manufacturing process behind the reflective gel collection involves several controlled production stages designed to maintain product consistency and reflective performance.
During raw material preparation and mixing, workers carefully measure UV-curable resin bases, photoinitiators, additives, glitter pigments, and reflective powders according to precise formulations. All materials are mixed under light-protected conditions to prevent premature photoinitiator activation while maintaining strict temperature control throughout the process.
The grinding and dispersion phase is considered one of the most critical stages in determining the quality of the finished gel polish. High-precision equipment, including three-roll mills, is used to repeatedly grind and disperse the glitter particles, blue reflective sequins, and pigments. This process is designed to ensure even distribution within the resin while maintaining a smooth and grain-free texture for nail application.
The company emphasized that particular attention is given to protecting the structure of the glitter and reflective sequins during grinding in order to preserve the product’s distinctive blue shimmer and reflective effects.
Following grinding, the mixture undergoes vacuum degassing to eliminate air bubbles generated during high-speed mixing. The product is then transferred to a fully automated filling line where it is filled into 10 ml or 15 ml bottles before brush attachment, labeling, and final packaging.
Production Capacity and Facility
Guangdong Baizhilin New Material Technology Co., Ltd. currently operates from Yunfu City, China, with a manufacturing facility covering more than 13,000 square meters. The company employs over 180 staff members across quality management, manufacturing, and sales operations.
The company’s daily production capacity exceeds 250,000 pieces, with sample production typically completed within 3–7 days and bulk order delivery within 7–15 days. The company stated that this production structure helps ensure stable delivery timelines for international customers and OEM/ODM partners.
Product Portfolio, Certifications, and OEM Services
In addition to reflective gel products, BOZLIN’s product portfolio includes Gel Nail Polish, Gel Top Coat, Gel Base Coat, Gel Builder, Poly Gel, Color Gel, Glitter Gel, Cat Eye Gel, Nail Art Gel, Function Gel, Chrome Liquid Kits, Magnet Tools, and Dipping Powder products.
Guangdong Baizhilin New Material Technology Co., Ltd. has also obtained multiple international certifications, including FDA, HALAL, ISO, GMP, MSDS, CPNP, and CPSR certifications. The company uses semi-automated production systems and multiple dust-free production lines while maintaining layered quality control procedures intended to meet domestic and international manufacturing standards.
The company also provides OEM and ODM customization services, free sample support, and free design services for global partners and distributors.
Guangdong Baizhilin New Material Technology Co., Ltd. stated that its ongoing focus remains on research and experimental development within the nail art sector while continuing to expand its international presence under the BOZLIN brand.
To learn more visit https://www.gzbozlin.com/
Media Contact
Organization: Guangdong Baizhilin New Material Technology Co., Ltd.
Contact Person: BOZLIN
Website: https://www.gzbozlin.com/
Email: Send Email
City: Guangzhou
State: Guangdong
Country:China
Release id:45438
The post BOZLIN Launches Ice Blue Reflective Gel Collection with HEMA-Free Formula appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
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.
AI Studios Launches Context-Aware Expressive TTS with 1,000+ AI Voices
AI Studios Launches Context-Aware Expressive TTS with 1,000+ AI Voices
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