Infinity Ward has dropped a brief teaser of Modern Warfare 4's Kill Block. This is a new type of multiplayer experience for Call of Duty, an ever-changing arena that's assembled from hundreds of different map variations. Think of it like a procedurally generated small map.
16/07/2026
Square Enix ha lanzado por sorpresa un port de Star Ocean: The Second Story R. Leer más
16/07/2026
Save on the new Magic: The Gathering x Marvel Super Heroes Commander decks with Amazon’s bundle discount, and find out which preconstructed decks are worth your money.
16/07/2026
Save 24% on the versatile Philips OneBlade 360 hybrid razor at Amazon UK, bringing the skin-comfortable shaver and grooming kit down to just £37.99.
16/07/2026
Apple acaba de darnos una de esas novedades que muchos ya habíamos dado por perdidas con la compañía. Sin avisar a nadie, ha lanzado una versión beta del software de los AirPods que incluye un nuevo modo de personalización que miles
16/07/2026
The Hawk review: Will Ferrell has given us so many funny characters; this Netflix series does not feature one of them.
16/07/2026
Una decisión adoptada a miles de kilómetros puede terminar afectando a una fábrica europea que necesita chips, imanes o materiales procesados para mantener su producción. Esa es la fragilidad que Bruselas intenta reducir mientras se
16/07/2026
Ecstatica 1 and 2 are among 6 new SNEG reissues.
16/07/2026
Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.
16/07/2026
arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require a forget set, yet no tool can locate which training records belong to a given author. Existing provenance systems operate at file or dataset level, forcing catastrophic over-deletion. We present ob, a record- and token-level data provenance system that propagates author identity through data processing pipelines and resolves revocation requ
16/07/2026
arXiv:2607.13049v1 Announce Type: new Abstract: Foundation models have given robots a sophisticated brain for complex decision-making, yet deploying that intelligence into a physical platform still demands tedious, expert-driven calibration. This deployment gap, the robot's spinal cord, remains a primary bottleneck to scalable Embodied AI. Hence, we propose SPINE (Scalable Physical Integration with ageNtic Expertise): an agentic framework for systematically debugging and deploying bimanual robo
16/07/2026
arXiv:2607.13069v1 Announce Type: new Abstract: Large language models produce chain-of-thought (CoT) reasoning that appears logically sound yet may not genuinely depend on its stated premises. We introduce interventional grounding audits, a black-box, step-level test of premise dependency: we intervene on a single premise by substituting its target predicate with a fresh symbol, re-run the model, and check whether each reasoning step's normalized conclusion (canonical predicate form) changes. W
16/07/2026
arXiv:2607.13073v1 Announce Type: new Abstract: Neuro-symbolic AI based on $IFOL_B$ is a way to combine neural learning and symbolic reasoning to overcome limitations of purely neural systems (like lack of interpretability and logical structure) with formal logical machinery for self-reference. In this paper we expand the cognitive power of $IFOL_B$ by using the probability computation for the currently unknown sentences, based on Nilsson's probability structure for the $IFOL_B$. We introduce t
16/07/2026
arXiv:2607.13104v1 Announce Type: new Abstract: Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation, from experience with minimal or even no human input. This survey frames modern self-improving agents as adaptive systems that convert experience into accumulated capability gains. We offer a system-level framework that represents a modern agent as a configuration coupling a foundation model with an op
16/07/2026
arXiv:2607.13115v1 Announce Type: new Abstract: Small language models (SLMs) have shown promise for zero-shot molecular property prediction from SMILES strings, yet they often suffer from structural blindness because sequence representations under-specify key graph-topological cues. We propose a modular Context-Augmented Prompting framework that enables agentic tool use at inference time: a trained GNN expert model provides a predictive hint with confidence, and a GNN extracts an instance-speci
16/07/2026
arXiv:2607.13157v1 Announce Type: new Abstract: Agent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations, recovery of user-specific facts and preferences across sessions, and accumulation of procedural knowledge from prior outcomes. These requirements extend beyond document retrieval: a memory layer must determine which interactions become durable state, how that state is scoped, how it is retrieved under late
16/07/2026
arXiv:2607.13172v1 Announce Type: new Abstract: We address the problem of safely training an agent policy and deploying a good and safe policy, in settings where the environment dynamics are unknown and no suitable reward function is available. In the context of safety-critical environments, we consider traditional reinforcement learning impractical and resort to the resource of human input. We introduce DROPJ, a human-centred method for both safe training and deployment. We first learn a world
16/07/2026
Syntetica, a French startup that has developed a novel approach to recycling nylon, has already obtained big-name partners and investors.
16/07/2026
Publisher Colorful Palette and developer Egg Hatcher will release daughter raising simulation game Volcano Princess …
16/07/2026
Publisher Flyhigh Works and developer Secret Character have will release a Switch version of cat …
16/07/2026