Deep learning is a specialized branch of machine learning that uses artificial neural networks inspired by the structure of the human brain. It enables computers to automatically learn and extract complex patterns from large amounts of data without explicit programming. Deep learning powers many modern AI applications, including speech recognition, image classification, autonomous driving, and natural language processing. Its effectiveness depends on vast datasets, high computational power, and multi-layered neural architectures that improve through iterative training. As deep learning models evolve, they continue to drive breakthroughs in generative AI, predictive analytics, and advanced automation.
Disney and OpenAI announced a three-year licensing deal allowing Sora to generate fan-inspired short videos featuring over 200 Disney, Marvel, Pixar, and Star Wars characters.
SoftBank and Nvidia are negotiating a $1 billion investment in Skild AI, potentially valuing the robotics-focused AI startup at $14 billion, reflecting strong investor interest in humanoid robotics.
Google introduced the Titans architecture and the MIRAS framework to enable AI models to handle massive contexts and update their internal memory while running, improving performance in long-sequence tasks.
ChatGPT now reaches more than 800 million weekly users, creating a powerful adoption flywheel that is speeding the transition from AI experimentation to full-scale enterprise deployment, according to OpenAI’s new 2025 report.
Amazon’s AI shopping assistant Rufus saw a sharp spike in Black Friday usage, fueling significantly higher purchase-conversion rates compared with non-AI sessions, according to new data from Sensor Tower and Adobe Analytics.
Amazon employees demand ethical AI practices, warning that the company’s fast-paced AI rollout risks worker safety, democratic oversight, and environmental sustainability.
OpenAI co-founder Ilya Sutskever says the era of scaling compute and data as the main driver of AI progress is ending, arguing that meaningful advances now depend on true scientific breakthroughs and solving AI’s poor generalization.
Voice AI startup Wispr has secured another $25M in funding as its Flow dictation app surges in enterprise adoption and user retention, bringing total capital raised to $81M.
Nvidia reported strong third quarter results driven by soaring demand for its data center GPUs and Blackwell architecture. The company raised its outlook as AI infrastructure spending accelerates.
Google has released Gemini 3, its most powerful AI model yet, offering advanced multimodal reasoning, coding capabilities, and agentic planning tools across multiple platforms.