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China banks on open source in AI cold war with US

CIO

Chinas largest tech giants such as Baidu and Tencent have been working on their own large language models (LLMs) for some time now, andthe unexpected debutof DeepSeek , despite numerous hardware sanctions, surprised even the most powerful AI companies from the West. [

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Nomod raises $3.4M seed to allow merchants accept payments without hardware

TechCrunch

One, most of them are excluded from various payment ecosystems globally due to their size, and two, getting hardware from providers can be expensive. . based fintech Nomod allows these businesses to bypass the card terminal by providing a platform to accept card payments on their phone with no extra hardware. The company has raised $3.4

Hardware 239
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Mavenoid, which automates technical support and onboarding for hardware companies, raises $30M

TechCrunch

Mavenoid , a Swedish company that provides both human- and AI-enabled support and troubleshooting tools for hardware companies, has raised $30 million in a series B round of funding. Hardware issues are repetitive, difficult, and time-consuming to fix. ” Technical support. .”

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Daily Crunch: Silicon Valley Bank goes bust — regulators take control of $175B+ in deposits

TechCrunch

Hi, Crunchers, Today, there’s only one story on everyone’s lips: The sudden and dramatic collapse of Silicon Valley Bank (SVB), the 40-year-old Silicon Valley institution. With $209 billion of assets under management at the time of its failure, it’s the second-largest bank failure in U.S. Say that three times fast.

Banking 246
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A 10-step playbook for founders with Silicon Valley Bank accounts

TechCrunch

experienced its second-largest bank failure in history. In the technology world, Silicon Valley Bank (SVB) was one of the largest banks supporting small businesses, but today, tens of thousands of depositors are unable to access capital. and Vettery, a machine learning-based talent marketplace that was acquired for $110M.

Banking 246
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How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod

AWS Machine Learning - AI

The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. As a result, banks face operational challenges, including limited scalability, slow processing speeds, and high costs associated with staff training and turnover.

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Global tariffs shake up CIOs’ IT agendas

CIO

The research firm is projecting a move closer to the previous downside of 5% growth, which reflects a rapid, negative impact on hardware and IT services spending. This includes curbing what the bank had dubbed the year of cloud, a strategic initiative that involved several planned platform migrations to the cloud.