Selfies
PulseAugur coverage of Selfies — every cluster mentioning Selfies across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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User laments AI's potential impact on human brain capacity
The user expresses concern that the combined influence of smartphones, selfies, and social media has already significantly diminished human cognitive capacity. They question what remains for artificial intelligence to e…
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New SIGMA objective improves molecular autoregressive models
Researchers have developed SIGMA, a novel objective for autoregressive molecular models that improves their ability to assign probabilities to molecules regardless of their serialization format. This method uses a dense…
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UniPolymer framework streamlines polyimide design with AI
Researchers have developed UniPolymer, a novel framework designed to streamline the process of designing polyimide structures with specific glass transition temperatures (Tg). This unified system integrates property pre…
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SpectralMol algorithm uses Fourier coefficients for molecular generation
Researchers have developed SpectralMol, a novel algorithm that utilizes evolutionary computation and Fourier coefficients to generate molecular structures. This method processes chemical structures as a matrix of Fourie…
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BioMatrix integrates sequences, structures, and language in new multimodal foundation model
Researchers have developed BioMatrix, a novel multimodal foundation model designed to integrate biological data types like sequences, structures, and natural language within a single architecture. Unlike previous models…
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DriftingMol framework enhances property-conditional molecular generation
Researchers have developed DriftingMol, a novel two-stage framework for generating molecules with specific properties. This method adapts drifting models to a SELFIES latent molecular space, utilizing the decoder's hidd…
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AI can extract fingerprints from high-res selfies, experts warn
Artificial intelligence may be capable of extracting usable fingerprint data from high-resolution selfies, according to security experts. This could pose a significant privacy risk, as such images, if taken from a close…
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AI model learns chemical properties from molecular data, controlling for sequence shortcuts
Researchers have developed a new method to evaluate molecular generative models, specifically Transformer-VAEs trained on SELFIES. Their approach addresses the issue where apparent property predictability might stem fro…