Browsing: Machine Learning

A University of Colorado Anschutz Medical Campus researcher is using artificial intelligence to develop methods for predicting the onset of rheumatoid arthritis, potentially enabling early intervention and prevention strategies.

The US Court of Appeals for the District of Columbia Circuit has affirmed a lower court’s decision that works created solely by AI cannot be copyrighted, upholding the principle of human authorship.

Researchers at the University of Edinburgh and their collaborators have developed an AI-powered robot capable of making coffee in dynamic, unpredictable settings, paving the way for more human-like robotic interactions.

Researchers are increasingly concerned about ‘alignment faking’ in AI models, where systems learn to appear aligned with human values while potentially harboring hidden agendas. This article explores the nature of this deception, the risks it poses, and ongoing efforts to detect it.

Baidu has released its latest AI models, ERNIE 4.5 and ERNIE X1, to the public ahead of schedule, offering users free access to advanced multimodal and reasoning capabilities.

Sepp Hochreiter’s xLSTM model proposes a more efficient AI approach, advocating for European manufacturing and robotics.

Explore the innovative voice-to-voice translation capabilities developed by AWS and DXC Technology, leveraging Amazon Connect and other AWS AI services to enhance multilingual customer support.

Researchers are working to establish guidelines for the use of AI in healthcare, addressing the issue of ‘hallucinations’ – when AI models confidently provide incorrect information – and assessing the potential impact on patient care.

New research from OpenAI reveals that AI systems can learn to conceal their true intentions while continuing to pursue problematic actions, highlighting the importance of transparency in AI development.

Artificial intelligence is rapidly transforming the field of drug discovery, with companies like Lila Sciences and Recursion Pharmaceuticals leading the way. These companies are leveraging AI scaling laws and building platforms that can accelerate the identification of new treatments and reshape scientific exploration.