Microsoft Unveils Seven In-House AI Models Across Key Categories
Microsoft has introduced seven proprietary AI models spanning reasoning, coding, image generation, transcription, and voice synthesis.
Big Data
Big Data refers to extremely large and complex datasets that are difficult to manage, process, and analyze using traditional data tools. It encompasses information collected from diverse sources such as social media, sensors, mobile devices, and online transactions, often generated in real time. In artificial intelligence, Big Data serves as the foundation for training machine learning models, improving accuracy, and uncovering insights that drive smarter decisions. The concept is typically defined by the “three Vs”: volume, velocity, and variety – representing the size, speed, and diversity of data. Modern AI systems rely on Big Data technologies and frameworks like Hadoop and Spark to store, process, and interpret this vast information efficiently.
Meta Scales Back Employee Monitoring Program After Internal Backlash
Meta has eased plans to track employee computer activity for AI training after internal criticism, introducing new controls that allow workers to pause data collection or request exemptions.
Humanoid Robots Could Become AI’s Next Trillion-Dollar Market
Investors and technology leaders increasingly view humanoid robots as the next major growth opportunity in artificial intelligence. Industry forecasts suggest the market could expand from a few billion dollars today to hundreds of billions within the next decade.
Alphabet Plans $80 Billion Stock Sale to Expand AI Infrastructure
By
Olivia Grant
• 3 mins read
Alphabet plans to raise $80 billion through stock offerings and a strategic investment from Berkshire Hathaway to expand AI infrastructure. The funding will support growing demand for Google’s AI services and computing capacity.
Silicon Valley is Now Chasing Humanoid Robots
By
Ethan Caldwell
• 3 mins read
Major AI companies are increasingly focusing on humanoid robots as the next frontier of artificial intelligence. The shift is drawing investments from Nvidia, OpenAI, Tesla, Meta, and a growing group of robotics startups seeking to bring AI into the physical world.
SoftBank Commits €45 Billion to French AI Data Centers
By
Olivia Grant
• 3 mins read
SoftBank plans to invest €45 billion in three large-scale AI data centers in France as part of a broader €93 billion foreign investment push announced at the Choose France summit.
ElevenLabs Launches Dubbing v2 Across 90+ Languages
By
Samantha Reed
• 3 mins read
ElevenLabs has introduced Dubbing v2, a new AI dubbing model that preserves a speaker’s tone, pacing, and emotional delivery across more than 90 languages.
Intel Reveals Crescent Island AI Chip to Challenge Nvidia
By
Olivia Grant
• 3 mins read
Intel has disclosed new details about Crescent Island, its next-generation AI accelerator designed for data centers and agentic AI workloads. The chip is expected to launch later this year as Intel seeks to compete more aggressively with Nvidia in the rapidly growing AI infrastructure market.
Nvidia Unveils Vera CPU Built for the AI Agent Era
By
Olivia Grant
• 3 mins read
Nvidia has launched Vera, its first CPU designed specifically for AI agents and large-scale AI infrastructure. The processor promises up to 1.8 times faster performance than traditional x86 CPUs and will be adopted by major AI labs, cloud providers, and server manufacturers.
Nvidia Invests $6.5 Billion in Technology That Could Reshape AI Infrastructure
By
Laura Bennett
• 3 mins read
Nvidia has committed at least $6.5 billion to photonics companies in recent months as it seeks to overcome AI infrastructure bottlenecks. The investments target optical technologies that could reduce energy consumption and improve data transfer across future AI systems.