If we are to build human-like robots that can interact naturally with people, our robots must know not only about the properties of objects but also the properties of animate agents in the world. One of the fundamental social skills for humans is the attribution of beliefs, goals…
Background: Emerging artificial intelligence (AI) applications have the potential to improve health, but they may also perpetuate or exacerbate inequities. Objective: This review aims to provide a comprehensive overview of the health equity issues related to the use of AI applica…
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is ca…
Human–artificial intelligence (AI) dialogues can meaningfully impact voters’ attitudes towards presidential candidates and policy, demonstrating the potential of conversational AI to influence political decision-making.
There is great public concern about the potential use of generative artificial intelligence (AI) for political persuasion and the resulting impacts on elections and democracy<sup>1-6</sup>. We inform these concerns using pre-registered experiments to assess the ability of large l…
Comprehensive sexual health education for young people often remains largely inaccessible, leaving gaps in knowledge about sexual consent, refusals, sexual assault, and sexting. Snapchat's My AI, tailored to its users, offers accessible and potentially stigma-free responses to se…
Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block oppo…
Machine learning methods hold the promise to reduce the costs and the failure rates of conventional drug discovery pipelines. This issue is especially pressing for neurodegenerative diseases, where the development of disease-modifying drugs has been particularly challenging. To a…
Developing disease-modifying drugs for neurodegenerative diseases has been very challenging. Now a machine learning approach has been used to identify small molecule inhibitors of α-synuclein aggregation, a process implicated in Parkinson’s disease and other synucleinopathies. Co…
Unlock the potential of AI with our learning hub. Gain essential AI skills, and prepare for AI innovation using the Microsoft Cloud. Empower your AI skill-building journey with expert guidance and resources.
Unlock the potential of AI with our learning hub. Gain essential AI skills, and prepare for AI innovation using the Microsoft Cloud. Empower your AI skill-building journey with expert guidance and resources.
Unlock the potential of AI with our learning hub. Gain essential AI skills, and prepare for AI innovation using the Microsoft Cloud. Empower your AI skill-building journey with expert guidance and resources.
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.
Accelerate your Microsoft Copilot journey and learn how to harness the full potential of Microsoft Copilot solutions. Explore training, deployment, and extensibility resources for developers and business users through the Copilot learning hub. Start building smarter solutions tod…
Unlock the potential of AI with our learning hub. Gain essential AI skills, and prepare for AI innovation using the Microsoft Cloud. Empower your AI skill-building journey with expert guidance and resources.