Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Thomas Lincoln and Sarah Bush Lincoln—Abraham’s father and stepmother—are buried at Shiloh Cemetery just south of town, offering a quiet reminder that even legendary presidents came from regular ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Feeds that amplify hysterical content are accelerating extremism and a grievance society that endangers us all.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Overview AI risk management training is becoming essential across industriesLeading programs now combine governance, ethics, ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to Hopkins research ...

The method could also inspire future AI systems that combine more abilities, such as 3D vision, depth sensing, and joint ...

Answer-driven results are redefining what visibility means and demanding a more strategic approach to content and brand ...