In Antetic AI , where collective intelligence emerges from the interactions of numerous simple agents, communication plays a pivotal...

For years, the dominant paradigm in artificial intelligence has been cloud-based processing. We've relied on powerful data centers to handle the computationally intensive tasks of training and deploying AI models . However, a compelling shift is underway, signaling a future where AI resides not in the cloud, but directly on our devices: smartphones, smart glasses and other wearables, cars, robots and our household appliances. This move towards on-device AI , also known as ed

Artificial Intelligence and Machine Learning have revolutionized data analysis , enabling us to uncover complex patterns and make predictions with unprecedented speed and scale. However, the very power and flexibility that make AI so effective also create fertile ground for an old statistical pitfall, potentially amplified and automated : p-hacking . While AI doesn't "intend" to p-hack in the human sense, the processes used to develop and optimize AI models can inadvertentl

Artificial Intelligence promises objectivity, leveraging vast datasets and complex algorithms to find patterns and make predictions...

The current landscape of Artificial Intelligence is still heavily dominated by breakthroughs in Large Language Models (LLMs) . Systems like GPT-series, Claude, and Llama showcase remarkable abilities in understanding, generating, and manipulating human language . While undeniably powerful, this focus risks creating a skewed perception of intelligence , anchoring it primarily to linguistic prowess . However, the natural world offers a staggering diversity of intelligence that

Artificial intelligence has made breathtaking strides in recent years. Deep learning models can classify images with superhuman accuracy, generate strikingly coherent text, images and videos, translate languages fluently, and even defeat world champions in complex games. Yet, despite these impressive feats, a fundamental limitation persists, often referred to as the "abstraction barrier." Current AI , particularly the dominant deep learning paradigms , struggles profoundly

The ability to adapt to changing environments and task requirements is a hallmark of intelligent systems . In Antetic AI , where swarms...

The remarkable agility, efficiency, and adaptability of ants are a constant source of inspiration for robotics and artificial...

Maintaining operational control over a swarm of autonomous agents is paramount, yet traditional centralized methods often fall short in...

Every sunrise brings a renewed, invisible threat to communities across vast swathes of our planet. Long after the overt violence of war...

The devastation of war often leaves behind a landscape riddled with hazards – landmines, unexploded ordnance (UXO), chemical...