AI News

Is Jasper AI still relevant in an era dominated by ChatGPT and Claude? We explore whether investing in a specialized marketing tool is worthwhile for Czech businesses and how its unique model orchestration sets it apart.

American startup Sensory Robotics has become the first in the world to receive UL 1740 certification for its fenceless SR-1 system. Real-time 3D sensors create virtual safety zones, allowing industrial robots to operate without protective cages. The technology is headed for automotive, aerospace, and defense applications.

Google is rolling out a new offering for developers building on Apple platforms. With integration into the Foundation Models framework and Xcode, developers can now leverage the power of Gemini models directly in the native iOS environment, fundamentally changing how AI-powered apps are built.

Israeli startup D-ID has launched Agentic Videos — interactive videos that turn passive watching into a two-way conversation. The viewer asks a question and the AI avatar responds in real time.

Maty Boháček from Stanford demonstrates the immense potential of LLMs, while Google fights against the misuse of Gemini technologies for sophisticated scams. How do we navigate this duality?

Noam Shazeer, co-author of the Transformer architecture and co-lead of the Gemini project, is leaving Google for OpenAI. He arrives at a pivotal moment — OpenAI is preparing for a historic IPO with a valuation that could exceed one trillion dollars.

Anthropic's latest model Claude Opus 4.7 outperformed human engineering teams in programming and controlling a four-legged robot. We found out what this means for the future of autonomous agents.

AI agents are writing code faster than ever, but traditional quality control systems can't keep up. CircleCI introduces Chunk Sidecars — a tool that brings validation directly into the code creation process.

Anthropic has published the results of Project Fetch Phase 2: Claude Opus 4.7 independently programmed a Unitree Go2 robot dog 20× faster than the best human team — without ever touching the controller and with ten times less code.

The development of autonomous AI agents is hitting a technological ceiling: infrastructure complexity. See how integrating messaging services directly into the database is changing the game for enterprise systems and what it means for business process efficiency.