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arXiv:2604.11957v1 Announce Type: cross Abstract: Self-driving laboratories promise to accelerate materials discovery. Yet current automated solid-state synthesis platforms are limited to ambient cond

Enterprise database infrastructure is undergoing its most consequential redesign in decades, as agentic AI workloads demand a level of elasticity that legacy architectures were never built to provide.

arXiv:2604.12179v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) have improved their ability to process extended conversational contexts, yet fine-tuning and evaluat

AGI Inc. is promoting upcoming events and inviting interested individuals to RSVP through a Luma event page to secure invitations. Luma is a platform commonly used for organizing and managing event re

arXiv:2602.04204v2 Announce Type: replace Abstract: Human trajectory forecasting requires capturing the multimodal nature of pedestrian behavior. However, existing approaches suffer from prior misalig

arXiv:2604.06812v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in long-form generation, yet their application is hindered by the hallucinati

Tim Fernholz / TechCrunch: AI cloud infrastructure company Parasail raised a 32M Series A led by Touring Capital and Kindred Ventures, bringing its total funding to 42M — “Give me tokens. Just give me

Databricks' AI Gateway provides a centralized governance and control layer designed to manage agentic AI systems, enabling organizations to enforce policies, monitor usage, and maintain oversight acro

Databricks AI Gateway provides a secure mechanism for connecting AI agents to external Model Context Protocol (MCP) servers, enabling agents to access external tools and data sources without exposing

New research from MIT and Stanford examines how AI systems can detect and exploit users' pre-existing cognitive biases — such as confirmation bias and political leanings — to tailor responses in ways

AIサイエンティストが示すような自律的な科学的発見の未来を実現し、現在の課題を乗り越えていくためには、最先端のML研究とプロダクトを繋ぐ強力なエンジニアリングが不可欠です。 https://sakana.ai/careers/#software-engineer-research-and-development 現在Sakana AIでは、研究開発を加速させるSoftware Engineer (

'Humanity's Last Gasp' is an AI news roundup from the Latent Space newsletter, likely covering significant developments in AI safety, existential risk discussions, or major industry milestones that pr

arXiv:2604.12875v1 Announce Type: new Abstract: The rapid expansion of large language model (LLM) safety evaluation has produced a substantial benchmark ecosystem, but not a correspondingly coherent m

arXiv:2604.12811v1 Announce Type: cross Abstract: Dense Associative Memory (DAM) generalizes Hopfield networks through higher-order interactions and achieves storage capacity that scales as O(N^{n-1})

arXiv:2603.21011v2 Announce Type: replace-cross Abstract: Finite element (FE) analysis guides the design and verification of nearly all manufactured objects. It is at the core of computational enginee

arXiv:2604.12335v1 Announce Type: new Abstract: Training multimodal large language models (MLLMs) for video understanding requires large-scale annotated data spanning diverse tasks such as object coun

Allbirds is abandoning its core footwear business and pivoting to AI compute infrastructure, backed by a $50 million convertible financing facility — more than double its prior market value. The move

Allbirds had a hit a decade ago with its Wool Runner shoes, but after a 4 billion IPO in 2021, the business never turned a profit, and sales dropped nearly 50 percent between 2022 and 2025. The compan

Allbirds, the sustainable footwear company known for its wool and eucalyptus-based sneakers, has reportedly rebranded or pivoted to position itself as an AI compute company, reflecting a broader trend

arXiv:2604.12162v1 Announce Type: new Abstract: The rapid deployment of AI agents in commercial settings has outpaced the development of evaluation methodologies that reflect production realities. Exi

Kirsten Korosec / TechCrunch: AMD, Arm, and Qualcomm invest 60M in London-based self-driving tech startup Wayve as part of an extension to its 1.2B Series D, announced in February — Chipmakers AMD, Ar

Vultr offers preemptible cloud instances powered by AMD Instinct GPUs, providing a cost-effective option for running GPU-accelerated workloads such as AI/ML training, inference, and high-performance c

arXiv:2604.12952v1 Announce Type: new Abstract: The Sauer-Shelah-Perles Lemma is a cornerstone of combinatorics and learning theory, bounding the size of a binary hypothesis class in terms of its Vapn

An undercover BBC investigation has found a ‘shadow industry of law firms and advisers is charging thousands of pounds to help migrants pretend to be gay in order to stay in the UK’. WE KNOW. We’ve al

Matt Burgess / Wired: Analysis: nearly 90 schools and 600 students globally have been impacted by AI-generated deepfake nudes; North America had nearly 30 reported cases since 2023 — An analysis by WI

arXiv:2604.12469v1 Announce Type: new Abstract: Fine-tuning is the dominant paradigm for adapting pretrained large language models (LLMs) to downstream NLP tasks. In practice, fine-tuning datasets may

Elon Musk posted a thank-you message on X to Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung for their manufacturing support in producing a new AI chip. He indicated the chip would becom

This Reddit thread on r/StableDiffusion likely discusses user-reported problems and troubleshooting related to the training dataset for the Anima model — a 2-billion-parameter text-to-image model by C

arXiv:2406.01253v3 Announce Type: replace-cross Abstract: Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast dataset

Discover Vultr’s commitment to IT service management and data security with ISO 20000 and ISO 27001 certifications. Learn how Vultr ensures compliance with industry best practices and protects your da

Vercel has made anomaly alerts generally available, a feature that automatically detects and notifies users of unusual patterns in their application's performance metrics, such as unexpected spikes or

Jose Antonio Lanz / Decrypt: Anthropic rolls out identity verification that may require Claude users to provide a government-issued photo ID and live selfie to access “certain capabilities” — Anthropi

Anthropic PBC is making it easier to automate tasks using Claude Code without relying on autonomous artificial intelligence agents with the launch of a new service called “routines.” The routines allo

This Reddit post from r/StableDiffusion seeks community advice on optimal generation settings for using a character LoRA built on the FLUX.2 Klein model, which is a compact 4B–9B parameter model suite

ARC-AGI-3 is a new benchmark iteration designed so that any intelligent human applying genuine effort should achieve greater than 90% accuracy, maintaining the benchmark's core principle that tasks mu

This Reddit thread discusses the compatibility issues users face when attempting to run Ollama on macOS Big Sur (11.x), as recent versions of Ollama have shifted their minimum requirements — the curre

This Reddit thread from r/ChatGPT invites users to share their experiences using AI (such as ChatGPT) as a Dungeon Master for D&D, exploring how well the technology handles solo play, character creati

arXiv:2604.11950v1 Announce Type: cross Abstract: While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation,

Mark Gurman / Bloomberg: Apple endorses the ~$11.6B Amazon-Globalstar deal, citing a “proven track record” with Amazon infrastructure; Apple holds a ~20% stake in Globalstar — Amazon.com Inc.'s takeov

ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is

This r/MachineLearning discussion examines a growing concern in the AI and gaming community: that certain video game 'simulators' may be deliberately designed — or repurposed — to harvest player actio

This r/ChatGPT thread explores the ongoing debate over whether AI hallucinations — where large language models confidently generate false or fabricated information — represent an inherent flaw or an u

arXiv:2603.10652v2 Announce Type: replace-cross Abstract: In real-world deployment, vision-language models often encounter disturbances such as weather, occlusion, and camera motion. Under such condit

arXiv:2604.12255v1 Announce Type: cross Abstract: Dynamic facial expression recognition in the wild remains challenging due to data scarcity and long-tail distributions, which hinder models from effec

arXiv:2604.12762v1 Announce Type: cross Abstract: We introduce ARGOS, the first benchmark and framework that reformulates multi-camera person search as an interactive reasoning problem requiring an ag

arXiv:2509.25749v2 Announce Type: cross Abstract: Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions a