PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling
PIER framework augments retrieval-augmented generation with physics constraints to improve transfer learning for environmental time-series modeling.
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PIER framework augments retrieval-augmented generation with physics constraints to improve transfer learning for environmental time-series modeling.
Hybrid CoLES + Mamba approach for user-centric transactional sequence modeling combines contrastive learning with selective state-space models.
DQAOA-GPT integrates distributed quantum approximate optimization with GPT for scaling variational quantum algorithms to large combinatorial problems.
AMD says it's going to invest up to $5 billion in Anthropic, while helping to expand the AI company's computing power, according to an announcement on Wednesday. As part of the new partnership, Anthropic will deploy up to 2 gigawatts of AMD's Instinct MI450 AI GPUs using the chipmaker's new Helios rack-scale system, as reported earlier by The Wall Street Journal. The companies plan to deploy the first gigawatt in the first half of 2027, building upon recent data center deals Anthropic has reached with SpaceX and TeraWulf. Anthropic has also signed AI infrastructure deals with Google, Broadcom...
HalluTruthQA: 2,400 expert-curated examples for fine-grained hallucination detection, localization, and explanation in Arabic LLM question answering.
Orchestrated open-weight small LLMs achieve malware analysis performance competitive with frontier closed-weight models at lower computational cost.
ELSAA: efficient attention mechanism combining low-rank and sparse approximations without decomposing projection matrices, extends Transformer context length.
Surprisal theory critique: LLM-based surprisal metrics obscure representational choices; argues black-box models don't eliminate computational-level design requirements.
Statistical framework for LoRA rank allocation: formulates importance-score design with explicit statistical interpretation for parameter-efficient fine-tuning.
Quadrilateral loss: differentiable penalty measuring additivity in neural networks via second-order mixed differences, connects to Shapley-GAM interaction quantification.
Causal language model for inverse OLED molecular design generates SMILES sequences constrained by optoelectronic properties.
Theoretical bounds on certified machine unlearning complexity using uniformly convex regularizers and novel generalization substitutes.
StreamHOI: low-latency streaming framework for long-duration human-object interaction video with temporal memory adaptation.
Instance hardness-based relevance function for imbalanced regression handling asymmetric target distributions.
Learned finite volume solver for 2D Euler equations with entropy-stability guarantees and validated under frozen benchmarks.
Audio-Zero: label-free self-play framework for large audio language models improving fine-grained event and duration reasoning.
Anthropic leaped to a $47 billion revenue run rate by May, compared to $9 billion in 2025. It’s the kind of growth that Menlo Ventures’ Matt Murphy says he’s never seen in 25 years of investing, not in the internet wave, not in mobile, not in the first cloud boom. Menlo led Anthropic’s $500M Series D, and Murphy has had a front-row seat as the company went from a pre-revenue, […]
ML-based prioritization of biomedical annotation candidates using knowledge graphs to reduce expert curation bottlenecks.
Neuromorphic Receptron classifier for edge microcontrollers enabling non-linear decision boundaries without multi-layer networks.
Gaussian smoothing analysis of quantized ReLU and sign activation functions with local stability bounds for discontinuous networks.
Active Inference formulated as convex MDP where expected free energy minimization splits into linear reward and nonlinear epistemic terms.
Google DeepMind commits $40M in AI compute credits to Genesis Mission, supporting AI-driven scientific discovery across multiple domains.
Troops received an email informing them that they were rapidly depleting their AI tokens.
OpenAI highlights use cases of its tools by news organizations for reporting, audience growth, and operations.
Google announces AI productivity features for Samsung Galaxy devices at 2026 event; no technical details on models or capabilities disclosed.
Passionfroot, a German startup building a marketplace connecting B2B creators with brands, has raised $15M in a Series A round led by Insight Partners.
OpenAI announces Project Camellia infrastructure investment in Effingham County, Georgia with commitments to energy efficiency, job creation, and Codex access.
OpenAI partners with U.S. Department of Energy and national labs to apply frontier AI to scientific discovery and research acceleration.
Content Seal sounds a lot like a less accessible and reliable version of SynthID. | Image: Meta / The Verge IIn March, Meta's Oversight Board called on the company to "meet its public commitments and employ its own tools" to help quell the spread of deceptive generative AI content across platforms. Meta responded in July by introducing Content Seal - an invisible watermarking technology that flags images generated by the company's new AI model. But it was basically a footnote buried in the company's announcement for its Muse image and video generation tools. As someone who spends a lot of tim...