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Tag: #chemistry4 results
Researchers introduced a Context-Augmented Prompting framework that integrates GNN-based predictive hints and explanatory subgraphs into SLMs. This approach significantly improves molecular property prediction accuracy, addressing the structural blindness inherent in sequence-based models.
Researchers have identified traces of erythrulose, a monosaccharide, thousands of light-years away. This discovery marks the first time a sugar molecule has been detected in deep space.
NMRTrans uses set transformers on experimental NMR spectra for molecular structure elucidation, trained on NMRSpec corpus from literature. It models spectra as unordered peak sets aligning with NMR physics. Achieves SOTA Top-10 accuracy of 61.15% on benchmarks.
Evaluates LoRA for parameter-efficient fine-tuning of LLMs on organic reaction datasets like USPTO and C-H functionalisation. Matches full fine-tuning accuracy while preserving multi-task performance and mitigating forgetting. Reveals distinct reactivity patterns for better adaptation.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
Google is introducing a button that lets readers mark publishers as preferred sources across Search, Discover, and Google News. The feature could help publishers recover traffic as AI-powered search generates fewer direct clicks to websites.
Runlayer and Rippling have dropped their lawsuits, with no money changing hands. Rippling marked the resolution by releasing a competing product, leaving the dispute as a cautionary example for founders.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.
Wired AI argues that Silicon Valley technology leaders do not understand society’s growing frustrations with AI. The article criticizes their public messaging as disconnected from legitimate concerns about AI’s impact.