A Canadian Liberal government has introduced a privacy reform bill amid concerns about AI and data use. The record does not specify the bill name, text, or any formal regulatory details.
A report states that Vietnam’s AI law has entered into force. The source is a secondary legal-news item and does not provide the official instrument details.
Global News reports Canada has unveiled an AI strategy including plans for widespread adoption and data centres. The underlying government instrument and its legal status are not provided in the record.
Japan will require labeling of realistic AI-created content during election campaigns, according to The Japan Times. The measure is expected to be implemented through election-related rules overseen by Japan’s communications ministry.
A New York bill has gone into effect requiring advertisements to be transparent when AI-generated performers are featured. The record is sourced from afrotech.com via a news RSS item.
Motivation: Patient-generated text contains critical information on patients' lived experiences, social context, and care engagement, but remains largely unstructured, limiting its use in patient-centered outcomes research. Prior work introduced the PV-Miner benchmark and PVMinerLLM models for structured extraction. However, supervised fine-tuning (SFT) alone struggles with rare, fine-grained, and
Inverse materials design starts from target functionality and searches for structures that can realize it. Its value in closed-loop discovery depends not only on prediction performance, but also on whether expensive first-principles results are independently validated, provenance-recorded, and admitted as feedback only when evidence is sufficient. This is especially important for composite propert
Segment Anything Model 3 (SAM 3) provides a strong frozen backbone for concept-prompted segmentation, but applying it directly to open-vocabulary semantic segmentation (OVSS) is inefficient: full-resolution decoding is typically run over the entire dataset vocabulary, whereas each image contains only a small active subset of classes. We introduce ActiveSAM, a training-free, zero-shot inference fra
Sign Language Translation (SLT) is typically evaluated with surface-form metrics such as BLEU and ROUGE, which reward lexical overlap but do not directly measure whether a translation preserves the meaning of the source sign sequence. This is in contrast with the final objective of integrating SLT in assistive technology. In this work, we shift the focus from Sign Language Translation (SLT) to Sig
Multiphasic contrast-enhanced CT (CECT) is widely used for abdominal lesion characterization, yet it carries inherent risks of contrast-induced nephropathy, escalates acquisition burden, and heavily contributes to radiologist workload. To address these challenges, we introduce a novel multi-center benchmark for multi-organ abdominal disease diagnosis and automated radiology report generation, whic
Capital is clustering at the top of the market, with one company dominating the funding tape through repeated public-market entries. The signal is less about breadth than about how much attention a single infrastructure name is absorbing.
Capital is clustering at the top of the market, with one company dominating the funding tape through repeated public-market entries. The signal is less about breadth than about how much attention a single infrastructure name is absorbing.
Capital is clustering at the top of the market, with one company dominating the funding tape through repeated public-market entries. The signal is less about breadth than about how much attention a single infrastructure name is absorbing.
The talent desk shows both ends of the formation cycle: a chief executive exit at an established platform and new founder-led launches elsewhere. Named moves matter here because they redraw ownership of product and research agendas.
The talent desk shows both ends of the formation cycle: a chief executive exit at an established platform and new founder-led launches elsewhere. Named moves matter here because they redraw ownership of product and research agendas.
The talent desk shows both ends of the formation cycle: a chief executive exit at an established platform and new founder-led launches elsewhere. Named moves matter here because they redraw ownership of product and research agendas.
Benchmark activity is still early, but it is shifting evaluation toward task-specific meaning rather than surface overlap. The new scores also show how sparse the field remains outside a few active systems.
Benchmark activity is still early, but it is shifting evaluation toward task-specific meaning rather than surface overlap. The new scores also show how sparse the field remains outside a few active systems.
Benchmark activity is still early, but it is shifting evaluation toward task-specific meaning rather than surface overlap. The new scores also show how sparse the field remains outside a few active systems.