Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A recent report suggests OpenAI CEO Sam Altman, despite leading a top AI firm, may lack deep technical programming and ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

This year’s winners are driving real impact at some of the world’s most influential companies, including LatentView Analytics ...

AI is no longer seen as a futuristic discipline but has emerged as a major focus area for business growth. It's predicted ...

In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development. Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in ...

TOMRA Recycling launches the new FINDER™, a flexible metals sorting platform with built-in AI features for meeting infeed ...