bitcoin
bitcoin

$89386.16 USD 

-2.20%

ethereum
ethereum

$3120.65 USD 

-5.30%

tether
tether

$1.00 USD 

-0.17%

solana
solana

$212.89 USD 

-1.32%

bnb
bnb

$627.84 USD 

-0.29%

dogecoin
dogecoin

$0.392356 USD 

-5.55%

xrp
xrp

$0.720229 USD 

1.64%

usd-coin
usd-coin

$0.999621 USD 

-0.04%

cardano
cardano

$0.552585 USD 

-6.77%

tron
tron

$0.179658 USD 

-0.06%

shiba-inu
shiba-inu

$0.000025 USD 

-5.97%

toncoin
toncoin

$5.25 USD 

-2.95%

avalanche
avalanche

$31.96 USD 

-7.02%

sui
sui

$3.31 USD 

1.82%

pepe
pepe

$0.000021 USD 

18.21%

加密貨幣新聞文章

Colle AI推出新的NFT藝術鑑定器

2024/11/12 16:26

Colle AI 是一個多鏈 AI NFT 平台,昨天在一份新聞稿中推出了一種新的人工智慧驅動的認證系統,用於區分真正的 NFT 藝術品和假冒產品。

Colle AI推出新的NFT藝術鑑定器

Despite the popularity of non-fungible token (NFT) art, critics often claim they could easily replicate it by simply taking a screenshot or pasting an image into another medium. However, each NFT artwork has unique identifiers that distinguish it from others.

儘管不可替代代幣(NFT)藝術很受歡迎,但評論家經常聲稱,他們可以透過簡單地截取螢幕截圖或將圖像貼到其他媒體中來輕鬆複製它。然而,每件 NFT 藝術品都有獨特的標識符,可以將其與其他藝術品區分開來。

To detect these elements, a meticulous authentication process is usually required, ensuring the originality, credentials, and traceability of each digital asset, similar to the methods employed by professional art appraisers.

為了檢測這些元素,通常需要細緻的認證過程,以確保每個數位資產的原創性、可信度和可追溯性,類似於專業藝術品評估師所採用的方法。

According to Peak Performance Partners Market, the NFT art market is expected to reach approximately $2.5 billion in 2023. However, like the traditional art market, this industry is also plagued by fraudulent activities.

根據 Peak Performance Partners Market 的數據,NFT 藝術品市場預計到 2023 年將達到約 25 億美元。

In the case of NFT art, bad actors may attempt to pass off replica or counterfeit versions as genuine works by renowned artists, ultimately depriving issuers, artists, owners, and buyers of digital artworks to varying degrees.

就 NFT 藝術而言,不良行為者可能會試圖將複製品或贗品冒充為知名藝術家的真品,最終不同程度地剝奪發行者、藝術家、所有者和購買者對數位藝術品的權利。

To address this pressing issue, Colle AI (COLLE) has unveiled an innovative approach that integrates artificial intelligence (AI) in combating NFT art scams.

為了解決這個緊迫問題,Colle AI (COLLE) 推出了一種創新方法,將人工智慧 (AI) 融入打擊 NFT 藝術騙局。

Colle AI, a multichain AI NFT platform, announced in a press release yesterday the launch of a new AI-powered authentication system designed to distinguish bona fide NFT artworks from counterfeit products.

Colle AI 是一個多鏈 AI NFT 平台,昨天在新聞稿中宣布推出一種新的人工智慧驅動的認證系統,旨在區分真正的 NFT 藝術品和假冒產品。

The system utilizes machine learning (ML) algorithms to analyze, verify, and compare digital assets across multiple blockchains.

該系統利用機器學習(ML)演算法來分析、驗證和比較多個區塊鏈上的數位資產。

It examines the unique characteristics of each digital artwork down to the smallest details and gathers every piece of data to trace the existing ownership and origin of each asset.

它檢查每件數位藝術品的獨特特徵,直至最小的細節,並收集每個數據以追蹤每項資產的現有所有權和來源。

Colle AI believes that its efficient and effective verification method extends beyond fraud prevention, ensuring a reliable NFT marketplace.

Colle AI 相信,其高效且有效的驗證方法不僅限於預防欺詐,還確保了可靠的 NFT 市場。

The procedure ultimately fosters transparency, trust, confidence, and value retention within the digital art community.

該計畫最終促進了數位藝術社群的透明度、信任、信心和價值保留。

Furthermore, the new platform is designed to be easily integrated on multiple blockchains and features a simplified interface and verification process, allowing creators, investors, and buyers to utilize it without having to navigate a steep learning curve.

此外,新平台旨在輕鬆整合到多個區塊鏈上,並具有簡化的介面和驗證過程,允許創建者、投資者和買家使用它,而無需經歷陡峭的學習曲線。

“This development reflects Colle AI’s approach to supporting the digital art industry by prioritizing security and usability,” said Colle AI.

「這項發展反映了 Colle AI 透過優先考慮安全性和可用性來支援數位藝術產業的方法,」Colle AI 表示。

“As the NFT space grows, the need for straightforward verification methods becomes more apparent, and Colle AI’s AI-powered authentication system provides a tool aimed at addressing this need.”

“隨著 NFT 領域的發展,對簡單驗證方法的需求變得更加明顯,而 Colle AI 的人工智慧認證系統提供了一個旨在滿足這一需求的工具。”

新聞來源:blockzeit.com

免責聲明:info@kdj.com

所提供的資訊並非交易建議。 kDJ.com對任何基於本文提供的資訊進行的投資不承擔任何責任。加密貨幣波動性較大,建議您充分研究後謹慎投資!

如果您認為本網站使用的內容侵犯了您的版權,請立即聯絡我們(info@kdj.com),我們將及時刪除。

2024年11月14日 其他文章發表於