A new research paper shows the approach performs significantly better than the random-walk forecasting method.

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Lower-performing countries follow a different pattern. Gains in basic infrastructure, water access, or food availability can raise SDG scores even when education systems, innovation capacity, or ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

At the outset of 2026, the mission statement for performance marketers seems to be benchmarking the performance of everything that has made it through the filter and fully integrating it into the ...