Tag: Deep learning

Create an illustration in a vibrant and cheerful style in a 3:2 aspect ratio. The image should vividly describe the core concept of the article. It should represent a new learning paradigm - Non-fine-tunability, designed to prevent misuse of pre-trained models for inappropriate tasks. Show a fortified labyrinth containing a brain-like computer model representing the SOPHON protection framework. The labyrinth's complexity signifies overhead comparable to or greater than training from scratch when fine-tuning in restricted domains, thus resisting misuse of this model. This illustration should be filled with light colors to indicate positivity and bright future prospects of this technology.

Sophon: Pembelajaran yang Tidak Dapat Disetel Halus untuk Menahan Transferabilitas Tugas Untuk Model yang Telah Dilatih Sebelumnya

Makalah penelitian ini memperkenalkan paradigma pembelajaran baru yang disebut pembelajaran yang tidak dapat disetel dengan…
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Deep learning Non-fine-tunable learning Pre-trained models Sophon Transfer learning
Create an illustration in a 3:2 aspect ratio, drawn in an upbeat and light style, reminiscent of early twentieth-century caricature drawings, primarily using watercolor. The central figure is a personified friendly robot assistant character, embodying artificial intelligence. The robot is studying a big digital screen displaying various structures and names of chemical compounds. Around the robot are hovering 3D images of Staphylococcus aureus bacteria, some of them disintegrating, hinting at successful elimination. Also, subtly hint at the human cells unaffected by the compounds. The scenario unfolds in a modern lab setting, hinting at the critical research work taking place. Make sure the illustration is apt for the article titled, 'Using AI, MIT researchers identify a new class of antibiotic candidates'.

Dengan menggunakan AI, peneliti MIT mengidentifikasi kelas baru kandidat antibiotik

Para peneliti di MIT telah menggunakan deep learning, sebuah bentuk kecerdasan buatan, untuk mengidentifikasi kelas…
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Antibiotics Deep learning Drug development MIT Mrsa