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Learn how Qualcomm AI Hub Models helps run AI models directly on smartphones, making apps faster, smarter, and more private.
Microsoft has unveiled its first advanced reasoning AI model, MAI-Thinking-1, at Build 2026, marking a significant step in the company's independent AI development journey.
OpenAI is making its GPT-5.5, GPT-5.4, and Codex models available through Amazon Bedrock, aligning pricing with its own platform and integrating usage into existing AWS contracts.
Microsoft is set to unveil new AI models and Windows improvements at its Build conference in San Francisco, marking a pivotal moment in the company's AI transformation. The event will showcase how Microsoft is reshaping its business strategy around artificial intelligence innovation.
Google showcases Gemini Omni and Gemini 3.5's advanced multimodal capabilities through 9 compelling demonstrations. These AI models demonstrate unprecedented versatility in processing multiple data types and complex reasoning tasks.
OpenAI enhances GPT-5.5 Instant with improved readability while retiring older models like o3 and GPT-4.5 by August 2026.
New analysis reveals that OpenAI's Opus 4.8 and Anthropic's Claude Mythos Preview have similar misalignment rates, suggesting ongoing challenges in AI alignment across the industry.
Anthropic releases Claude Opus 4.8, which outperforms GPT-5.5 and Gemini 3.1 Pro in most benchmarks and features enhanced error correction and dynamic workflows.
This explainer explores the advanced Mixture of Experts (MoE) architecture used in Liquid AI's LFM2.5-8B-A1B model, examining how sparse parameter activation enables powerful on-device AI capabilities.
Google's I/O 2026 conference unveiled major AI advancements including Gemini Advanced and enhanced Workspace tools, while also focusing on developer innovations and edge computing support.
Microsoft's MAI-Image-2.5 ties with Google's Nano Banana 2 on Arena's leaderboard, showing significant improvements over its predecessor.
AI models like GPT and Gemini often provide correct answers but cite incorrect sources, a flaw researchers call 'attribution hallucination.'