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120M Atomic Data Sets Transform Materials Science — Find Out How

Author

Yves Mulkers
August 31, 2025

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Hello AI enthusiast

From Musk’s record-breaking AI supercomputer to Meta’s billion-euro GDPR reckoning, today’s lineup is stacked with breakthroughs and battles shaping the future of tech. Add in a 120M-sample atomic dataset fueling discovery and Tanzania’s bold governance play, and the stakes couldn’t be higher. Scroll down to see the moves, risks, and opportunities redefining AI, data, and power—today.

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🛡️ Meta Unveils New AI Safeguards After GDPR Crisis

Meta responded to a €1.2 billion GDPR fine and leaked internal policies by introducing robust AI safeguards and stricter data governance measures. The company’s renewed focus on ethical AI aims to restore long-term investor confidence and address regulatory scrutiny.
Meta’s compliance overhaul signals a new era for responsible AI governance.

🧪 Massive Atomic Dataset Released for Materials Discovery

Researchers released a groundbreaking dataset of 120 million atomic configurations to accelerate machine learning in materials science. This dedicated resource enables more accurate predictions and discoveries, transforming how scientists approach materials innovation.
Access to vast atomic data will supercharge AI-driven materials research.

🕌 Cerebras & Core42 Train 180B-Parameter Arabic Model in Record Time

Cerebras and Core42 achieved a milestone by training a 180-billion-parameter Arabic language model in under 14 days using 4,096 CS-3 chips. This feat sets new standards for large-scale AI development in regional languages.
Ultra-fast training unlocks new possibilities for Arabic AI applications.

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In a world of sensational headlines and shallow takes, The Daily Upside stands apart. Written by former bankers and veteran journalists, it delivers crisp, actionable insights that top execs use to make smarter decisions. Over 1M readers — boardrooms to corner offices — trust it every morning. Join them. Free, no fluff, just business clarity.

🌍 Tanzania Launches National Data Governance Framework

Tanzania introduced its National Data Governance Framework, positioning itself as a leader in African data protection and digital economy standards. The initiative aims to boost trust, innovation, and regional competitiveness.
Tanzania’s framework sets a benchmark for data-driven growth in Africa.

🕵️ Palantir’s Expanding Government Role Raises Oversight Concerns

Palantir’s deepening partnerships with government agencies have sparked urgent debate over oversight and legal safeguards in national data governance. The company’s mapping of sensitive data prompts calls for transparency and accountability.
Stronger oversight is needed as Palantir’s influence on public data grows.

📊 Belvars Platform Debuts AI-Powered Analytics & Security

Belvars Platform launched new AI-driven analytics and security features, enhancing digital trading and enterprise data management. These upgrades promise improved ROI and robust protection for businesses operating in dynamic markets.
AI-powered tools are redefining digital trading and enterprise security.

☁️ Domo Boosts Cloud Integration Analytics for Enterprises

Domo announced enhanced analytics for cloud integration with Snowflake and BigQuery, streamlining enterprise data management. The new features enable real-time insights and more efficient decision-making across organizations.
Seamless cloud analytics are driving smarter enterprise operations.

🕸️ AI Flags 1,400+ Fake Journals to Combat Predatory Publishing

University of Colorado Boulder researchers unveiled an AI system that identified over 1,400 fake scientific journals, helping to fight predatory publishing and protect research integrity.
AI is now a frontline defender against scientific misinformation.

⚛️ Bit-Bit Encoding Enables Universal Quantum ML Approximation

Researchers demonstrated that bit-bit encoding allows universal approximation in quantum machine learning, introducing a new framework for resource estimation. This breakthrough paves the way for more efficient quantum AI models.
Quantum ML advances promise scalable, resource-efficient AI solutions.

🚀 Musk’s Stargate Project Deploys Nvidia Chips for Fastest AI Supercomputer

Elon Musk announced the Stargate project, deploying hundreds of thousands of Nvidia chips to build the world’s fastest AI supercomputer. This initiative aims to accelerate America’s technological dominance in AI.
Stargate could redefine global AI infrastructure and innovation speed.

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