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Nvidia-backed VAST Data valued at $30 billion in latest funding round

Nvidia-backed VAST Data valued at $30 billion in latest funding round

April 22 (Reuters) - VAST Data said on Wednesday it was valued at $30 billion in its latest funding round, growing more than threefold since 2023, helped by strong interest in companies that build the infrastructure needed for artificial intelligence.
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Nvidia Supports Vast Data with $1 Billion Funding, Valuing AI Company at $30 Billion

Nvidia Supports Vast Data with $1 Billion Funding, Valuing AI Company at $30 Billion

Nvidia Supports Vast Data with $1 Billion Funding, Valuing AI Company at $30 Billion
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Nvidia Invests in Vast Data to Expand AI Storage Capabilities

Nvidia Invests in Vast Data to Expand AI Storage Capabilities

Nvidia Invests in Vast Data to Expand AI Storage Capabilities
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DataBank Secures $2 Billion for AI Data Center Development in Texas Suburbs

DataBank Secures $2 Billion for AI Data Center Development in Texas Suburbs

DataBank Secures $2 Billion for AI Data Center Development in Texas Suburbs
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AI Data Centers Demand New Power Solutions Amid Growing Energy Needs

AI Data Centers Demand New Power Solutions Amid Growing Energy Needs

AI Data Centers Demand New Power Solutions Amid Growing Energy Needs
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Australia's Syenta raises $26 million to ease AI chip bottleneck, former Intel CEO joins board

Australia's Syenta raises $26 million to ease AI chip bottleneck, former Intel CEO joins board

By Stephen Nellis SAN FRANCISCO, April 21 (Reuters) - Syenta, an Australian semiconductor technology startup, said on Tuesday that it has raised $26 million for a new manufacturing technique that could help ease persistent supply chain bottlenecks for artificial intelligence.
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Syenta Secures $26 Million to Address AI Chip Supply Chain Bottlenecks in the U.S.

Syenta Secures $26 Million to Address AI Chip Supply Chain Bottlenecks in the U.S.

Syenta Secures $26 Million to Address AI Chip Supply Chain Bottlenecks in the U.S.
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Higher Education Institutions Embrace Hybrid Work Models Amid Cloud Cost Concerns

Higher Education Institutions Embrace Hybrid Work Models Amid Cloud Cost Concerns

Higher education institutions in the U.S. are increasingly adopting hybrid work models that integrate both cloud and on-premises solutions. This shift is driven by the need for secure, scalable, and manageable environments that can support diverse educational needs. Ernesto Lee, an assistant professor at Miami Dade College, highlights the importance of hybrid systems in reducing latency and enhancing performance for AI-driven applications. The rising costs of cloud computing have prompted IT leaders to reevaluate their technology ecosystems, balancing cloud accessibility with the performance benefits of on-premises solutions. The approach aims to optimize student-centered workloads across multiple channels and devices while addressing the challenges of shadow AI and cybersecurity.
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US Transportation Secretary Seeks Additional Funding for Air Traffic Control Modernization

US Transportation Secretary Seeks Additional Funding for Air Traffic Control Modernization

The U.S. Department of Transportation, led by Secretary Sean Duffy, is actively pursuing additional funding to complete the modernization of the air traffic control (ATC) system. The current $12.5 billion project, funded by Congress, focuses on physical upgrades such as new telecommunications equipment and radars. However, Duffy emphasizes the need for more resources to address software upgrades, which are crucial for transitioning the National Airspace System to a digital platform. The modernization effort aims to enhance safety and efficiency in air travel, with significant progress already made in replacing outdated infrastructure.
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US Cybersecurity Agency Lacks Access to Anthropic's Mythos Model Amid AI Security Concerns

US Cybersecurity Agency Lacks Access to Anthropic's Mythos Model Amid AI Security Concerns

The Cybersecurity and Infrastructure Security Agency (CISA), a key player in safeguarding U.S. infrastructure, does not have access to Anthropic's new Mythos Preview model. This model is noted for its ability to quickly identify and exploit security vulnerabilities, raising concerns about AI-powered cyberattacks. Despite its potential, Anthropic has restricted access to the model, providing it to over 40 companies and organizations for testing and system fortification. CISA's exclusion from this list is notable, especially as industries express growing concerns over AI threats. The decision to withhold public release of Mythos underscores its powerful capabilities and the potential risks associated with its misuse.
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Grant Thornton Ties Partner Bonuses to AI Adoption

Grant Thornton Ties Partner Bonuses to AI Adoption

Grant Thornton Ties Partner Bonuses to AI Adoption
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State Transportation Departments Leverage AI for Enhanced Data Utilization

State Transportation Departments Leverage AI for Enhanced Data Utilization

State transportation departments across the U.S. are increasingly adopting artificial intelligence (AI) technologies to improve their operations and safety measures. The Texas Department of Transportation (TxDOT) has implemented an enterprise data platform that integrates data from over 30 systems, allowing AI tools to perform complex data analyses quickly. This transformation is part of a broader trend where AI is being used to streamline data management and governance, creating new roles and systems within these agencies. Similarly, the Connecticut Department of Transportation (CDOT) has developed a 'DOT bot' that organizes documentation into a searchable database, enhancing user access to information. The Utah Department of Transportation (UDOT) is undergoing a digital modernization project to transition from a legacy system to a more unified platform, aiming to foster data-driven decision-making.