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Amazon Plans $4 Billion Investment Into OpenAI Rival Anthropic

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The global competition in the field of artificial intelligence [AI] has been intensifying, with numerous prominent tech companies joining the fray. Now Amazon has committed to invest, as much as $4 billion in the AI startup Anthropic. Initially, Amazon will pour in $1.25 billion. This comes with the flexibility to potentially increase its investment to a maximum of $4 billion. The e-commerce giant will have a minority stake in the firm. For Anthropic, this not only brings increased financial support from Amazon but also grants access to the computational capabilities of Amazon Web Services, a critical resource for advancing AI model development. Unpacking the Amazon-Anthropic Deal: What You Need to Know It should be noted that Anthropic has been utilizing AWS services since 2021. Under the terms of the investment arrangement, Anthropic has selected Amazon’s AWS as its primary cloud service provider for critical tasks. This entails safety research and the development of up...

Tether makes AI foray with huge bet on Cloud GPUs

Tether has made an entry into the AI space with a strategic investment in Bitcoin miner Northern Data. Media reports say Tether purchased 10,000 Nvidia H100 GPUs worth $420 million. Tether, the company behind the $83 billion stablecoin USDT, has marked its foray into the AI tech space with a strategic investment in Europe-based crypto mining firm Northern Data. A news release by Tether noted that the investment was made via Damoon, a Tether group company. The stablecoin issuer did not disclose the amounts involved, only stating that Forbes’ report had misrepresented the company’s “stake size in the investment.” “ We are excited about this investment into Northern Data Group as it represents a fresh venture into new technological frontiers ,” s AI d Paolo Ardoino, the Tether CTO.  He added: “ This investment underscores our commitment to responsible growth and innovation while preserving the strength and integrity...

Inflection AI raises $1.3B in funding led by Microsoft and Nvidia

The company has raised $1.525 billion in funding since its inception last year. On June 29, Palo Alto-based Inflection AI announced the completion of a $1.3 billion raise led by Microsoft, Reid Hoffman, Bill Gates, Eric Schmidt and Nvidia. The new capital will be partly allocated to building a 22,000-unit Nvidia H100 Tensor GPU cluster, which the company claims is the largest in the world. The GPUs will be used to develop large-scale artificial intelligence models. Developers wrote:  “We estimate that if we entered our cluster in the recent TOP500 list of supercomputers, it would be the 2nd and close to the top entry, despite being optimized for AI — rather than scientific — applications." Inflection AI is also developing its own personal adjutant AI system dubbed “Pi." The firm explained that Pi is “a teacher, coach, confidante, creative partner, and sounding board” that can be accessed directly via social media or WhatsApp. The company’s total funding amount has reached...

How this AgTech firm transforms agriculture with its powerful tech stack

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This leading AgTech firm offers a comprehensive tech stack designed to empower farmers and optimize the global industry. Blockchain technology has shown that it can transform data-driven markets, such as finance. However, the technology is industry-agnostic and can be applied across the board in ways specific to each industry. For example, it can be used in agriculture , the oldest industry in the world, and one that’s part of the primary sector of almost every economy globally. Agricultural technology (AgTech) is growing rapidly to streamline and automate multiple processes. Thanks to a range of innovative technologies, including blockchain, artificial intelligence (AI), and satellite and drone imagery, farmers can scale their businesses, reduce costs and expand their reach. In recent years, farmers and other industry players have adopted AgTech for a variety of use cases, including farm management, remote sensing, precision agriculture hardware and automation, among others. North A...

A brief history of digital banking

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Explore a brief history of digital banking, tracing its evolution from early automation to the integration of new technologies, such as IoT and blockchain. Digital banking, also known as online banking or e-banking, refers to the delivery of financial services through digital channels such as the internet, mobile devices and automated teller machines (ATMs). Digital banking has become increasingly popular in recent years, but its origins can be traced back several decades. Here’s a brief history of digital banking. Early automation (1960s to 1980s) The first forms of digital banking can be traced back to the 1960s, when banks began using mainframe computers to automate various banking functions such as check processing and customer account management. In the 1980s, banks started offering dial-up services that allowed customers to access their accounts through their home computers. In the 1960s, Bank of America introduced the first ATM, which allowed customers to withdraw cash from the...

Challenges of data accessibility in the NFT market

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Lack of data accessibility is a key challenge for the NFT sector. Here is how a data analysis tool is bringing transparency and liquidity to the market. Nonfungible tokens (NFTs) have grown into a distinct sector within the blockchain industry, but they still have to address several challenges before aiming for mass adoption. One of the key issues of the space has to do with data accessibility, or mostly, the lack of it. Unlike the broader crypto industry, the NFT market is still in its infancy, and there are relatively few resources available for tracking NFT collections, exploring detailed statistics and analyzing market trends. To begin with, the NFT market lacks standardized data formats and metadata. This can make it difficult for NFT buyers and sellers to share and analyze data, such as ownership history, provenance and other important details. Without access to meaningful data, it can be challenging for buyers to make informed purchasing decisions and for creators to accurately...