Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
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Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Thermal Modeling in Emerging Heterogeneous 2.5D/3D Systems (EPFL, Universidad Complutense de Madrid)
Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems” was published by researchers at EPFL and ...
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Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Dubbed Bloom, the AI tool creates a series of scenarios to test an AI model for a particular behavioural trait.
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