Key to the autonomous project is Saab’s AI Fighter Jet Pilot Academy, designed to develop the agents and, in parallel, establish infrastructure necessary to “create, train and evaluate” them, says the firm.
Saab Aeronautics has revealed that it has been developing and training its own artificial intelligence (AI) agents to perform and aid air combat tasks. Moreover, the Swedish defense group has been testing them in the air aboard the Gripen E fighter for ...
As stablecoins, real-time payment networks and artificial intelligence converge, financial infrastructure providers are confronting the fact that competitive questions are now becoming architectural ones. But building a system in which software can ...
AI is evolving at a rapid pace, and the uptake of Generative AI (GenAI) is revolutionising the way humans interact and leverage this technology. GenAI is
Frontier AI systems are beginning to test the limits of human oversight, while the companies developing them retain considerable power to define the risks
Accenture highlights that banks like JPMorgan Chase and Charles Schwab are restricting AI agents from their systems. Michael Abbott, Accenture's global banking lead, suggests that this strategy may negatively impact customer relationships.
There have been a series of papers published recently that showed that large language models have their own biases when making investment recommendations.
General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning. Yet these components are often developed independently, creating mismatches that limit the capabilities of the complete system. We present Pixel, a co-designed full-stack system for learning general-purpose mobile manipulation. Pixel combines a low-cost wheeled humanoid with human-aligned kinematics and compliant grippers, multiple teleoperation and robot-free human data-collection interfaces, a unified whole-body controller, and a common policy learning pipeline across human and robot demonstrations. A hierarchical learning stack further enables language-conditioned visuomotor control and long-horizon task execution. We evaluate the system across hardware, data collection, and policy learning, and demonstrate mobile-manipulation behaviors requiring dexterity, active perception, navigation, and whole-body coordination. We hope that Pixel provides an integrated and extensible foundation for studying how robot hardware, data, control, and learning can be designed together for robot learning. More…
Idol turns one picture of an object into a 3D Gaussian splat. Give it a render, a generated image or a photo: it removes the background, frames the object and generates up to 1,048,576 Gaussians, written as a standard 3DGS .ply. It runs on consumer GPUs, using 7.2 GB of VRAM…
GitHub has not only added 4 million CPU cores and 160 PB of internal storage, but it is also rebuilding core Git primitives by decoupling compute from sto
Subliminal learning allows AI models to inherit hidden preferences from seemingly unrelated training data, such as number sequences. Safety audits may evaluate models at standard 16-bit precision, while deployments may use compressed, quantized weights. We ask whether…
Curated list of self-hosted open-source AI: local LLMs, chat UIs, agents, MCP servers, RAG, speech and image generation. Health-checked weekly, dead projects removed automatically.
Large language models (LLMs) are increasingly used to simulate human behavior, but which descriptions of people improve prediction when experimental designs change remains unclear. We develop a framework that draws candidate behavioral features from the literature and…
Generative view synthesis aims to synthesize novel-view videos from reference observations along user-defined camera trajectories. Maintaining global scene consistency throughout this process remains challenging for camera-conditioned interactive video generators. Existing…