How AI is used in cybersecurity
Discover how AI is revolutionizing cybersecurity with advanced threat detection, predictive analysis, and automated responses, powered by GPU technology to combat evolving cyber threats.
Discover how AI is revolutionizing cybersecurity with advanced threat detection, predictive analysis, and automated responses, powered by GPU technology to combat evolving cyber threats.
Discover how metadata enhances AI performance by providing crucial context for models. Learn key benefits, implementation strategies, and real-world examples for smarter AI systems.
Webinar with: Kais-AIR & Swiss Vault The rapid growth of artificial intelligence has forced organizations to reconsider where their data lives and how their infrastructure… Read More »From cloud costs to edge control – Modular data centers for sustainable and efficient AI
GenAI is evolving – fast. What started as helpful Assistants (Copilots) providing suggestions and insights is now morphing into something far more powerful: Agents capable… Read More »Beyond Copilots – The rise of agentic engineering
Discover the hidden price of not being AI-ready. Learn how enterprise legacy data warehouses accumulate technical debt, and calculate the true Total Cost of Inaction.
If AI can pass a CFA Level III exam in minutes, and people still say AI is not intelligent, then what else would intelligence mean?… Read More »Human intelligence research lab to rank LLMs?
Across the tech sector, the term ‘AI agent’ has become Silicon Valley’s latest Rorschach test—revealing more about the speaker’s worldview than any shared technical definition.… Read More »The rise of accountable AI agents: How knowledge graphs solve the autonomy problem
Reducing total cost of ownership (TCO) is a topic familiar to all enterprise executives and stakeholders. Here, I discuss optimization strategies in the context of… Read More »How to Get AI to Deliver Superior ROI, Faster
Writing software for research isn’t like making a shopping app. It often controls lab instruments, runs detailed simulations, or works through huge sets of experimental… Read More »Code audits in R&D-driven applications
Master the art of freezing layers in AI models to optimize transfer learning, save computational resources, and achieve faster training with better results.