Explore AIstify's latest reporting, research, and expert analysis tagged with "artificial intelligence", collected in one continuously updated archive.
Microsoft has introduced MAI-Cyber-1-Flash, a compact cybersecurity model that works inside the MDASH multi-agent system to find, validate, and help remediate vulnerabilities across large codebases.
NVIDIA has formed a long-term partnership with Ilya Sutskever’s Safe Superintelligence, reportedly investing $5 billion and giving the secretive AI lab access to Vera Rubin systems that will expand its computing capacity tenfold.
Moonshot AI has released the full weights for Kimi K3 on Hugging Face, making its 2.8 trillion-parameter multimodal model available for independent deployment, research, and further development.
NVIDIA has formed the Open Secure AI Alliance with Microsoft, IBM, Palantir, CrowdStrike, and more than 35 other organizations to build open-source defenses for AI agents and software.
NVIDIA is reportedly in advanced talks to provide a roughly $250 billion financing guarantee for a vast OpenAI data center in Ohio, potentially helping the ChatGPT maker secure better terms for one of the largest AI infrastructure projects ever proposed.
OpenAI CEO Sam Altman says humanity has already entered the technological singularity, arguing that a transformation once treated as distant science fiction is now unfolding in real time.
YUV color space separates image brightness from color information and is widely used in video compression, cameras, and computer vision pipelines.
Zero-shot learning lets an AI model perform a new task or recognize an unseen category without task-specific labeled examples.
A foundation model is a large, broadly trained AI model that can be adapted or prompted for many different tasks and applications.
A vector database stores embeddings and performs similarity search for semantic retrieval, recommendations, and retrieval-augmented generation.
A transformer is a neural network architecture built on attention and used in modern language, vision, audio, video, and multimodal AI models.
A yottabyte is 10^24 bytes of digital information, a unit used to describe extremely large data volumes relevant to global computing and AI growth.
Symbolic AI represents knowledge with explicit symbols and rules that a system manipulates through logical reasoning.
Temperature is a generative AI setting that adjusts how strongly a model favors likely tokens, influencing output consistency and variation.
Self-supervised learning trains AI models with labels or objectives created from the data itself, reducing dependence on manual annotation.