AI

Free content, accessible explanations, and authoritative insights: artificial intelligence moves out of the labs and becomes a topic within everyone’s reach.

n May 2026 Anthropic unveiled “Mythos 2.0”, a multimodal model with deep contextual reasoning and built‑in safety guardrails. The roadmap includes controlled API access, academic collaborations, and a commercial rollout by late 2027.

By 2026 AI architectures cut energy use by 45 % versus 2022 thanks to pruning, quantization, sparsity and distillation. Cloud providers, open‑source projects and enterprise case studies already save 1.2 Mt CO₂/yr, aiming for climate‑neutral AI by 2030.

Advanced language models such as Gemini‑2 Security, Claude‑3.5 CodeGuard and DeepMal‑Lab now detect vulnerabilities, generate controlled malware samples and automate incident response.

Gemini‑2, LLaVA‑3 and the open‑source Mistral‑MM have perfected simultaneous text, image, video and audio generation. This article reviews their architecture, industry adoption, deep‑fake risks and predicts continuous‑learning and edge multimodal AI.

May 2026 sees US‑China tensions, Russian sanctions and fresh EU rules reshaping AI. Indian investment, Middle‑East projects and the scramble for data dominance create a geopolitics of AI that is more complex and competitive than ever before.

Meta is introducing incognito chats for Meta AI on WhatsApp, allowing users to interact with the chatbot in a more private and secure environment.

Google is integrating Gemini Intelligence directly into Android smartphones, turning mobile devices into proactive AI assistants capable of understanding context, automating tasks and anticipating user needs. The shift could transform communication, productivity and digital life.

Health‑Watch, launched by the Swiss Federal Office of Public Health and the Swiss Health Federation, utilises certified wearables, cloud‑based AI and blockchain to monitor chronic patients round‑the‑clock, cutting hospital admissions by 27 % and saving CHF 1 850 per patient each year.

On 4 May 2026 DXC Technology unveiled OASIS, an intelligent orchestration platform that connects all IT assets in real time. By blending human expertise with AI agents, the solution shifts support from reactive to predictive, cutting risk, cost and response time.

Like rare‑earth minerals, autonomous AI agents are now deemed vital to national security. In 2026 the United States and China tighten export rules and forge alliances, sparking a race for digital “strategic materials.”

In 2026 capital is displacing traditional labor through a rapid surge in artificial intelligence. OECD and EU forecasts point to accelerated automation, with profound effects on employment, productivity and data governance.

The United Arab Emirates announced they will leave OPEC, a move set to reshape the oil market, speed up solar‑powered data‑centre investments and give a decisive boost to the global development of artificial intelligence.

AI, more than a “cloud” breakthrough, depends on massive data‑center complexes, copper, rare earths and power, turning geopolitics into a race for strategic minerals and reshaping investment and price dynamics!!

Robotics is advancing at breakneck speed, driven by a demographic crisis and unprecedented technological breakthroughs. Here's why, according to Pictet Asset Management, we are standing at the dawn of a new era of productivity.

Economist Jared Franz has drawn a scenario map of what may lie ahead: from a triumphant super‑cycle to a bubble burst, with a more uneven path in between. The crucial question is no longer whether AI will succeed, but how fast and under what conditions it will do so.

The data centers powering AI models require massive and rapidly increasing amounts of energy, while traditional renewable sources often struggle to provide the stable, continuous supply these workloads demand. Big Tech’s response is increasingly unexpected turning to next-generation nuclear power.

Meta expands its CoreWeave deal to $21B through 2032. Specialized AI clouds are challenging AWS, Azure, and Google Cloud for high-intensity workloads.

Google DeepMind has introduced Gemini 3 Deep Think, a specialized version of Gemini 3 Pro designed to tackle complex challenges in scientific research, engineering, and advanced mathematics. The new mode is available through the Google AI Ultra subscription, priced at approximately $250 per month.