Opinion
The Zimbabwe Independent on MSNOpinion
Climate change, global energy supply: Is AI a friend or foe?
AI companies in highly-industrialised economies are even exploring the establishment of private nuclear power plants to meet their energy requirements. ARTIFICIAL Intelligence (AI) systems need to be ...
Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...
The Cool Down on MSN
New study reveals unexpected results after using AI tools to predict extreme weather: 'Their ability ... remains unclear'
The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...
Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...
After a year that ultimately did not perform the way most of the industry expected, 2025 closed with little to no meaningful improvement over the year prior, re ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
AI-powered Mental Health Solutions Market to reach USD 11.9 Bn by 2035 at 20.1% CAGR, driven by AI advances and digital ...
Microsoft is partnering with Miso, a grid operator in the Midwest, to build a unified data platform for grid management using ...
Worldwide Flight Services (WFS), a SATS company, has developed a digital tool that uses machine learning to forecast cargo volumes and improve workforce planning. The system has been trained on 10 ...
Worldwide Flight Services (WFS), a SATS company, has developed a new digital tool using machine learning algorithms trained on 10 years of operational data to deliver highly accurate forecasts of ...
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