Researchers from Goiás and Mato Grosso, working within Embrapa’s bean breeding program, have identified four carioca bean lines with strong
Efficiently handling long contexts has been a longstanding challenge in natural language processing. As large language models expand their capacity
Whole Slide Image (WSI) classification in digital pathology presents several critical challenges due to the immense size and hierarchical nature
One of the brightest minds in artificial intelligence, Mira Murati, has officially launched her next ambitious venture: Thinking Machines Lab.
In recent years, language models have been pushed to handle increasingly long contexts. This need has exposed some inherent problems
As artificial intelligence (AI) continues to gain traction across industries, one persistent challenge remains: creating language models that truly understand
Recent discussions on AI safety increasingly link it to existential risks posed by advanced AI, suggesting that addressing safety inherently
Artificial intelligence in multi-agent environments has made significant strides, particularly in reinforcement learning. One of the core challenges in this
Transforming language models into effective red teamers is not without its challenges. Modern large language models have transformed the way
Diffusion models have emerged as a crucial generative AI framework, excelling in tasks such as image synthesis, video generation, text-to-image
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