Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
3 天on MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
GPT-4 learning models in dermatology demonstrated substandard information yet rarely offered harmful advice in evaluation, overall.
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