Briefing

AI-powered software development: How technology is rewriting the rules

From individual productivity hacks to full workflow and role reinvention—three McKinsey experts explain how AI is changing the creation of software and what sep…

OpenAI and Broadcom unveil "Jalapeño," a custom chip built for LLM inference

OpenAI is adding custom hardware to its tech stack. The "Jalapeño" chip, developed with Broadcom, is tailored for large language model inference and is set to r…

Talos: Scaling rare disease diagnosis with automated, iterative genomic reanalysis

Talos was built to help resolve a major bottleneck in genomic medicine: human review time. The open-source system recovered 90% of in-scope diagnoses while surf…

OpenAI's deployment chief on Codex growth, falling AI prices, and the ROI question

OpenAI deployment chief Arnaud Fournier explains in an interview how DeployCo wants to embed AI deep inside large corporations using its own engineers. He talks…

Resolve AI CEO Spiros Xanthos: AI’s impact on software production systems

Automating software’s deployment, production, and monitoring systems has been challenging. Resolve AI’s CEO explains how AI could improve reliability, pace, and…

Keeping The Front Door of Healthcare Open: Our Investment in Assort Health

Walk into any outpatient practice in America and you’ll find “the binder.” Inches thick, worn soft from years of use, stuffed with Post-it notes that contain th…

OpenAI and Broadcom unveil LLM-optimized inference chip

OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.…

Pangram CEO says language models give themselves away by making the same arguments

Language models may write cleaner prose than most humans, but ask one for 100 arguments on a topic and they'll all cluster together. Human reasoning is far more…

Mistral's new OCR model beats competitors in 72 percent of blind test cases, company says

Mistral AI has released OCR 4, a new model that reads text from documents like PDFs, Word files, and PowerPoint presentations. The article Mistral's new OC…

Claude Tag embeds Anthropic's AI in Slack, already writes 65 percent of internal code, company says

Claude Tag lets teams bring Anthropic's AI into Slack by tagging @Claude in any channel and assigning it tasks. Internally, the tool already generates 65 percen…

OpenAI Agents SDK v0.17.7

Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization

Diffusion models have achieved strong performance in image, text-to-image, and video generation, where conditional generation is often controlled by classifier-…

EPEdit: Redefining Image Editing with Generative AI and User-Centric Design

The demand for image manipulation has seen a significant increase recently. Traditional tools like Photoshop and Capture One, while powerful, require considerab…

VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency

Speaker recognition has advanced rapidly with large-scale training datasets, yet Vietnamese remains under-resourced, with existing corpora limited in scale and …

DramaDirector: Geometry-Guided Short Drama Generation

Short dramas, with their rapid shot rhythms, dialogue-driven focus shifts, and demanding cinematographic grounding, pose challenges that prompt-level or text-on…

OmniPath: A Multi-Modal Agentic Framework for Auditing Wheelchair Accessibility

For a wheelchair user, a standard blue line on a map is often a broken promise. While platforms like OpenStreetMap (OSM) successfully capture where a path is, t…

A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching

Discrete flow matching (DFM) provides a principled framework for generative modeling on discrete state spaces via continuous-time Markov chain dynamics. In prac…

MedBench v5: A Dynamic, Process-Oriented, and Hallucination-Aware Benchmark for Clinical Multimodal Models

Existing medical AI benchmarks lack process visibility, atomic skill evaluation, and integrated hallucination detection. We introduce MedBench v5, a redesigned …

An Introduction to Causal Reinforcement Learning

Causal inference provides a set of principles and tools that allow one to combine data and knowledge about an environment to reason with questions of counterfac…

CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking

Reliable provenance for LLM outputs requires multi-bit watermarks that remain robust under editing while maintaining strict false-positive control. Existing ECC…

Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms

Three-dimensional scene completion has evolved as a major problem in computer vision and robotics, and its applications are diverse, including autonomous naviga…

Project Ariadne: Prompt-Conditioned Route Generation for Synthesis Planning

Retrosynthetic planning seeks to connect a target molecule to commercially available starting materials through a multistep route. Classical planners construct …

Exploring the relationship between human-centric AI and firm idiosyncratic risks

Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms' idiosyncratic risks (IR) remains underexplored. This is an i…

Neural Network-Based Parametric Model Reduction for Predicting Turbulent Flow for Different Vehicle Geometries

Numerical simulations in industrial applications often require performing numerous high-precision computations parameterized by specific experimental conditions…

Deep numerical schemes for systems of Ergodic BSDEs with applications to regime-switching forward utilities

In this paper, we introduce two neural-network-based numerical schemes for solving systems of coupled ergodic Backward Stochastic Differential Equations (eBSDEs…

Tractable Reasoning and Conjunctive Query Answering for Defeasible DL-Lite under Rational Closure

In Description Logics (DLs), reasoning under Rational Closure (RC) is a well-known and widely accepted non-monotonic formalism to handle defeasible knowledge. I…

Training-free Cross-domain Few-shot Segmentation via Robust Semantic Representation and Matching

Cross-domain Few-shot Segmentation (CD-FSS) aims to transfer knowledge learned from source domain to distinct target domains, segmenting unseen target classes w…

Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

AI-driven image-to-image synthesis is rapidly advancing, with growing applications in medical imaging. Multi-modal image analysis plays a crucial role in optimi…

ZONOS2 Technical Report

We present ZONOS2 8B, our latest TTS model, which achieves state-of-the-art naturalness, prosody, and voice cloning fidelity. We improve upon Zonos-v0.1 across …

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration

Face Video Restoration (FVR) aims to recover high-fidelity facial videos from degraded input while preserving identity and semantic consistency across frames. E…