Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.
Chipmaker Nvidia is planning to sell $25 billion of investment-grade debt in the US on Monday, its first bond sale in five years, in a test of investor appetite for further exposure to the AI sector. In a marquee seven-part bond offering, the company will issue a wide range of maturities from two years to 30 years, according to a term sheet seen by the FT. The issuance was upsized from $20 billion after receiving more than $85 […]
arXiv:2603.12453v1 Announce Type: new Abstract: This paper describes our system for SemEval-2026 Task 6, which classifies clarity of responses in political interviews into three categories: Clear Reply, Ambivalent, and Clear Non-Reply. We propose a heterogeneous dual large language model (LLM) ensemble via self-consistency (SC) and weighted voting, and a novel post-hoc correction mechanism, Deliberative Complexity Gating (DCG). This mechanism uses cross-model behavioral signals and exploits the finding that an LLM response-length proxy correlates strongly with sample ambiguity. To […]
We propose an (offline) multi-dimensional distributional reinforcement learning framework (KE-DRL) that leverages Hilbert space mappings to estimate the kernel mean embedding of the multi-dimensional value distribution under a proposed target policy. In our setting, the state-action variables are multi-dimensional and continuous. By mapping probability measures into a reproducing kernel Hilbert space via kernel mean embeddings, our method replaces Wasserstein metrics with an integral probability metric. This enables efficient estimation in multi-dimensional state-action spaces and reward settings, where direct […]
arXiv:2604.08575v1 Announce Type: new Abstract: Molecular generative models must jointly ensure validity, diversity, and property control, yet existing approaches typically trade off among these objectives. We present MOLPAQ, a modular quantum-classical generator that assembles molecules from quantum-generated latent patches. A b{eta}-VAE pretrained on QM9 learns a chemically aligned latent manifold; a reduced conditioner maps molecular descriptors into this space; and a parameter-efficient quantum patch generator produces entangled node embeddings that a valence-aware aggregator reconstructs into valid molecular graphs. […]
Safe Reinforcement Learning (RL) algorithms are typically evaluated under fixed training conditions. We investigate whether training-time safety guarantees transfer to deployment under distribution shift, using diabetes management as a safety-critical testbed. We benchmark safe RL algorithms on a unified clinical simulator and reveal a safety generalization gap: policies satisfying constraints during training frequently violate safety requirements on unseen patients. We demonstrate that test-time shielding, which filters unsafe actions using learned dynamics models, effectively restores safety across algorithms and […]
arXiv:2601.09806v1 Announce Type: new Abstract: This work presents an end-to-end pipeline for generating, refining, and evaluating adversarial patches to compromise facial biometric systems, with applications in forensic analysis and security testing. We utilize FGSM to generate adversarial noise targeting an identity classifier and employ a diffusion model with reverse diffusion to enhance imperceptibility through Gaussian smoothing and adaptive brightness correction, thereby facilitating synthetic adversarial patch evasion. The refined patch is applied to facial images to test its ability […]
Stop Using Self-Joins: How Using GroupBy and Filters Instead Can Save Massive Time and Cost in PySpark When working with large datasets in PySpark, it’s rather common in a notebook to see a table joined to itself using an inner join. While this approach is straightforward and intuitive, it often comes with a steep price: long runtimes, excessive shuffles, and inflated compute costs. In many real-world scenarios, you can replace a self–inner join with a groupBy + aggregation + filter […]
Linq developers can now build iMessage Apps. These are interactive mini-apps that run inside a iMessages conversation. A user can shop, play a game, book a flight, or pay. None of it requires leaving the iMessage thread. There is no deep link to an external browser. There is no ‘tap here to finish in the app.’ Previously, an agent’s main API option was to send a link. The user then had to follow it somewhere else. iMessage Apps […]
Scientific frontiers of agentic AI The language AI agents might speak, sharing context without compromising privacy, modeling agentic negotiations, and understanding users commonsense policies are some of the open scientific questions that researchers in agentic AI will need to grapple with. Conversational AI Michael Kearns September 11, 10:30 AM September 17, 10:19 AM It feels as though weve barely absorbed the rapid development and adoption of generative AI technologies such as large language models (LLMs) before the next […]