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Deeplearning

All articles tagged with #deeplearning

technology2 years ago•7 min saved

"2024: The Year of AI Expansion and Its Impact on Tech, Economy, and Society"

In 2023, AI took center stage, prompting regulatory actions and raising ethical concerns. As we enter 2024, experts predict further advancements in AI, including more powerful models and multi-modal capabilities. There's a push for better public understanding of AI to demystify its workings and a call for stronger regulations to address emerging challenges such as deepfakes and algorithmic harms. The focus is shifting towards educating people on AI's role in society and ensuring ethical development and deployment of AI technologies.

via The Conversation|

##airegulation #artificialintelligence

science-and-technology2 years ago•2 min saved

"AI-Driven Discovery Unveils Potent Antibiotics to Fight MRSA and Resistant Bacteria"

Scientists at MIT have discovered a new class of antibiotics, the first in over 60 years, using artificial intelligence to combat drug-resistant Staphylococcus aureus (MRSA). The team employed transparent deep learning models to predict the activity and toxicity of new compounds, leading to the identification of two promising antibiotic candidates. These findings, published in Nature, represent a significant advancement in the fight against antibiotic resistance and demonstrate the potential of AI in accelerating drug discovery.

via Euronews|

##ai #antibiotics

science-and-technology2 years ago•2 min saved

"Introducing BarbNet: Revolutionizing Microscopic Awn Analysis with Deep Learning"

Researchers in Plant Phenomics have developed BarbNet, a deep learning model tailored for detecting and characterizing barbs on awns in grain crops like wheat and barley. The model, which is based on an enhanced U-net architecture, was trained on 348 images and achieved a 90% accuracy rate and a high concordance with manual annotations. Despite challenges in detecting small and densely packed barbs, BarbNet represents a significant advancement in automated crop analysis, potentially accelerating genetic and phenotypic research and improving breeding programs for better yields.

via MarkTechPost|

##agriculture #cropresearch