AI

AI agents are evolving beyond standalone assistants into interconnected systems capable of delegating tasks, sharing information, and coordinating actions with other agents. This multi-agent approach enables more advanced automation, scalable problem-solving, and intelligent decision-making across business and technology environments.

Google's multi-billion-dollar investment in India highlights the country's growing importance as a global technology hub. From expanding digital infrastructure and AI capabilities to supporting innovation and entrepreneurship, this investment could accelerate India's digital transformation and create new opportunities across industries.

The integration of Claude with Photoshop represents a new era of AI-assisted design. From generating creative ideas and refining content to supporting design workflows and project management, Claude helps designers work more efficiently while maintaining creative control.

Claude for Legal is redefining how legal professionals handle complex tasks by assisting with legal research, contract review, document analysis, compliance checks, and case preparation. Learn how AI-powered legal solutions can improve efficiency, accuracy, and productivity across modern legal practices.

Microsoft is enhancing user control in Windows 11 by allowing web search results to be turned off. This update aims to improve search customization, privacy preferences, and productivity for users who prefer local search results.

MAI-Voice-2 marks a significant advancement in AI voice technology, offering improved speech quality, natural interactions, and multilingual capabilities. Learn how Microsoft's latest innovation is shaping the future of conversational AI and voice-driven experiences.

Majorana 2 is Microsoft's latest quantum computing innovation, leveraging topological qubits to improve stability, scalability, and reliability. This breakthrough brings the industry closer to practical quantum computing capable of solving complex scientific and industrial challenges beyond the reach of classical computers.

Gemma 4 12B is Google DeepMind's open multimodal model for local AI, supporting text, image, and audio inputs on laptop-class hardware.

Learn prompt engineering for LLMs with practical techniques, reusable templates, and mitigation strategies for hallucinations, prompt injection, and brittle outputs.

Learn MLOps for beginners with practical CI/CD stages, model versioning via registries, feature stores to prevent skew, and production best practices for monitoring and safe rollout.

Learn how to select AI model evaluation metrics for classification, regression, and LLMs. Build KPI dashboards that balance performance, calibration, robustness, fairness, and safety.

AI agents combine LLMs with tools, memory, and orchestration to complete multi-step workflows. Learn agent architecture, memory types, tool use patterns, and real applications.