Many of America’s top military commanders predict that mastering teaming between humans and increasingly capable AI algorithms and autonomous machines will provide an essential advantage to the ...
Addressing the open-environment issue with pure data-driven approaches, especially for large models (LM) that require great efforts for data curation and mix, training recipes, and collaboration with ...
Thinking Machines Lab Inc., the artificial intelligence research startup founded by former OpenAI Group PBC Chief Technology Officer Mira Murati, wants to move beyond the era of “turn-based” AI ...
The convergence of artificial intelligence and physical systems is changing the functions of manufacturing, construction, and logistics. With AI, intelligent systems interact directly with the real ...
This paper proposes a novel machine learning paradigm called the generative adversarial tri-model (GAT) to incorporate analytical knowledge into neural networks through a unique positive-sum game ...
The Department of the Air Force completed its first Decision Advantage Sprint for Human-Machine Teaming, or DASH, experiment at the Howard Hughes Operations Center in Las Vegas in April, Debora Henley ...
Human-machine understanding (HMU) represents the next frontier in human-centric technology. By integrating insights from human behavioural data, cognitive science and psychology with artificial ...
While generative AI brought creativity to machines, agentic AI is bringing initiative. Most organizations still treat AI as automation or support tools, framing it as something “we use,” rather than ...
As AI agents proliferate and their outputs become indistinguishable from human ones, the primary bottleneck shifts from ...
Generative AI is here, but we don’t quite know what to do with it. Across both industry and the military, enthusiasm has outpaced results. Companies report rising rates of abandoned AI projects, while ...
Source: ChatGPT modified by NostaLab. A couple of years ago, I wrote about something I called the techno-agora. It's a way of thinking about how large language models were beginning to reshape group ...