Compared with the latest progress in AI by companies such as OpenAI, Microsoft, Google, and Nvidia, Apple has clearly encountered some challenges in AI research and development.

Exchanges operating in Hong Kong before June 1 last year can enjoy the transitional arrangement, which means they can operate until May 31 this year without obtaining a license.

Hacker attack, Japanese cryptocurrency exchange suffered a loss of US$305 million. Golden Finance, this is the third major cryptocurrency exchange hacker attack in Japan in a decade.

22,000 categories is at least two orders of magnitude more than any image dataset created before.

Golden Weekly is a weekly blockchain industry summary column launched by Golden Finance. Its content covers the week's key news, market and contract data, mining information, project dynamics, technological progress and other industry dynamics.

Russian commodity companies that have experienced difficulties in conducting financial transactions with Chinese partners have begun using cryptocurrencies for payments.

2024 is a critical year for the cryptocurrency industry, facing challenges such as scalability, user-friendliness, and security, but the emergence of a new generation of networks offers hope to realize the vision of a decentralized financial system.

This change is happening not just with startups and innovators but also with traditional businesses, with companies like the UK’s Fnaility tokenizing central bank deposits and China’s digital yuan already having 260 million wallet users.

Yona is a SVM-powered layer 2 (rollup) on Bitcoin.

There are always legends in the market about certain diamond hands getting rich returns, and it seems that achieving financial freedom only requires two simple steps: buy and wait.

According to PANews, Flare Research recently published a paper introducing a new artificial intelligence (AI) method called Consensus Learning (CL), which combines AI with blockchain consensus mechanisms to achieve more secure and accurate AI. The paper states that Consensus Learning is a decentralized machine learning solution. In contrast to most existing centralized machine learning (ML) blockchain projects, Consensus Learning leverages blockchain to create decentralized AI models with performance improvements, security, data privacy, and decentralization advantages. This supports collaborative AI across application scopes, enabling the development of more accurate and robust AI models. As a result, Flare's token FLR experienced a slight increase. CoinGecko data shows that the FLR price has risen by approximately 11.7% in the past seven days.

According to Foresight News, the decentralized artificial intelligence network, Allora Network, has launched its testnet, allowing developers and AI enthusiasts to participate in the operation of the network's core infrastructure without permission. Allora has announced that the next stage will be the launch of the mainnet. Allora is a self-improving decentralized AI network that enables applications to utilize intelligent, secure AI self-improvement through ML model networks.

According to Blockworks, verifiable oracle protocol ORA is launching its on-chain AI oracle (OAO) on the Ethereum mainnet. In the coming weeks, the oracle will also be live on Optimism, Base, Polygon, and Manta. Implementing machine learning (ML) or AI onto the blockchain provides machine learning computation access to blockchain verifiability, validity, fairness, and transparency. However, there have been challenges in bringing AI on-chain due to decentralization requirements and Ethereum's computation environment being designed for EVM smart contracts. ORA's solution is through its OAOs, powered by optimistic machine learning (opML) on Ethereum. OpML can design any ML model on-chain, but with weaker security assumptions. According to ORA's documentation, opML uses a "verification game" similar to that used by optimistic rollup systems to enable a decentralized and verifiable consensus on the machine learning service. Once a requester initiates an ML service task and the server finishes it, the results are committed on-chain. A verifier must then validate the results, similar to what is done on an optimistic rollup. If the results are inaccurate, a dispute game with the server will begin, and the claim will be sent to an arbitration smart contract for a resolution. Grok, a generative AI chatbot; Stable Diffusion, a deep learning text-to-image AI model; and Llama2, Meta's open source large language model, are now available through ORA's OAO. Kartin Wong, the founder of ORA, noted in a press release that "only opML can put Grok on-chain. This is ORA's opML supremacy." Another type of ML that has been experimented with on-chain is zero-knowledge ML (zkML). This technology aims to generate cryptographic proof for ML computations that can be succinct enough to be verified on-chain. However, current computing power cannot practically generate proofs efficiently and affordably. Wong claims that, in contrast to zkML, opML can efficiently bring Grok's 314 billion parameter model on-chain, reducing overhead costs by over 1,000,000x.

Coinspeaker Mintlayer Upgrades Staking Program for ML Token Holders The Mintlayer sidechain enables users to create a decentralized ecosystem on the Bitcoin blockchain, including DeFi, smart contracts, atomic swaps, NFTs, and dApps. Mintlayer Upgrades Staking Program for ML Token Holders source: https://www.coinspeaker.com/mintlayer-upgrades-staking-program-ml/

Firstly for my fellow degens, I have to say that Machine Learning (ML) has seen incredibly significant progress in recent years and has found many applications in various domains. Am I right? It can be used for– Image Processing, Speech Recognition, Playing the game ‘Go’ and more recently can be used to discover antibiotics.  We […] source: https://droomdroom.com/zero-knowledge-machine-learning-zkml-explained/

앱토스(APT) 랩스는 구글클라우드와 협력했다고 X에 게시. 앱토스, 차세대 게임 개발을 주도 목적 파트너십. 앱토스랩스의 게임 개발 허브이자 플랫폼인 앱토스 게임스택(Aptos GameStack)을 통해 게임 개발자는 구글클라우드의 혁신적인 데이터 및 분석 솔루션, AI/ML을 앱토스에서 사용할 수 있는 Web3 게임 도구 및 기능 제품군과 통합하여 Web3 솔루션을 구글클라우드에 직접 가져올 수 있다. 이제 그 어느 때보다 많은 게임 ... source: https://coincode.kr/13925

io.net pioneers Apple Silicon Chip Clustering for ML, transforming cloud infrastructure. Decentralized Apple chip clusters enable global contributions, unlocking unused computing power. The IO Network, with M3 series support, addresses compute shortages in the AI/ML revolution. io.net, a leading Cloud Service Provider, has made waves in the tech world by unveiling groundbreaking support for... source: https://coinjournal.net/news/io-net-unveils-support-for-apple-silicon-chip-clustering-for-machine-learning/

According to official news, Filecoin ecological project Banyan has reached a strategic cooperation with io.net. The partnership aims to further drive decentralized and affordable alternatives to existing centralized cloud providers by providing GPU network access to Banyan’s enterprise-grade file storage and io.net’s AI/ML.

io.netがソラナネットワーク上で分散型GPUネットワークの構築を目指し、3000万ドルの資金をシリーズAで調達。AIおよびML企業への低コストで迅速なGPUリソースの提供を目指す。4月28日には暗号資産（仮想通貨）IOのローンチも予定。 source: https://coinpost.jp/?p=514598

According to official news, Binance Labs announced the 13 early-stage projects selected for the seventh season of the accelerator program MVB VII. The 10-week accelerator program is jointly operated by the community-driven blockchain ecosystem BNB Chain and Binance Labs. DeFi includes: 1. BitU: A crypto-native collateralized stablecoin protocol that leverages off-chain liquidity and efficiency to provide higher returns. 2. Blum: A hybrid exchange that provides universal token access through gamification within the Telegram mini-app. 3. Surf: Liquidity center for long-tail assets, such as leverage trading of small-cap tokens, pre-market trading, points trading, etc. 4. Vooi: A cross-chain Perp DEX aggregator that supports EVM and non-EVM chains. In the infrastructure sector, these include: 1. Aggregata: Designed to expand the decentralized value of AI data, powered by DePIN-driven aggregation. 2. Nesa: A lightweight Layer-1 that uses ZKML on-chain to perform critical AI inference for queries that require a high degree of privacy, security, and trust. 3. Nimble: A composable AI protocol that enables ML models and data to be composed and consumed by AI agents, data providers, and computing resources. The application layer includes: 1. Aspecta: An artificial intelligence-driven platform suitable for the new paradigm of the developer economy, providing support for individual developers and the development of the ecosystem. 2. Holoworld: A decentralized artificial intelligence character market and social platform that allows anyone to create powerful, intelligent artificial intelligence robots with just a few clicks. 3. Opinion Labs: is building a dynamic opinion and continuous prediction market. 4. Side Quest: A gaming and social platform with a strong community. 5. Story Chain: An innovative multi-layered dApp based on artificial intelligence that promotes collaborative storytelling. 6. Tilted: A TikTok-like marketplace for buying, selling, and trading game assets, skins, and NFTs on-chain.