10 results on this page
Tesla’s Austin robotaxi service appears to be operating without human safety monitors. An independent monitoring project recorded 170 rides across 54 vehicles over the past two weeks, all without a monitor onboard.
Alibaba’s net profit fell 75% to $1.54 billion in the June quarter as capital spending reached $9.98 billion. The spending reflects a major investment in AI infrastructure and cloud capabilities rather than a deterioration in core business performance.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
Ant Group’s quarterly profit barely grew after the company increased spending on artificial intelligence. The investments target healthcare, large language models, and payment services, while expansion costs also pressured results.
ByteDance’s Seed foundation-model division has reportedly completed another internal restructuring. Its foundation-model organization now includes four first-level departments focused on pretraining data, reinforcement learning, product post-training for work, and product post-training for chat.
A position paper analyzing 500 Hugging Face model cards argues that model cards alone do not provide enough information for governing open-weight foundation models. It proposes combining model cards with acceptable use policies and licenses to address safety, provenance, behavior, and enforcement gaps.
This systematic review examines Agentic AI’s historical evolution, architectures, working principles, real-world applications, adoption factors, and current challenges. It also identifies research gaps and proposes future directions, including a stakeholder adoption framework based on system-quality dimensions.
The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
Samsung reportedly increased prices for new orders using its 4nm, 5nm, and 8nm foundry processes in July. Price increases reportedly reach 15% for customers in China as AI demand fills available 4nm capacity.