AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
Axios

Google's AI boom sends emissions, power use soaring

Its electricity, water use and greenhouse gas emissions all climbed to record levels last year as the company raced to build ...

America can't get enough of protein. The dairy industry can't keep up

Demand for whey protein is off the charts as American diet trends change and GLP-1s boom, and the dairy industry is ...

H2 2026 Playbook: The Midyear Reset And What Comes Next

An updated 2026 outlook balances high AI capex and Kevin Warsh’s rate policy with emerging H2 winning sectors. Read what new ...
DIGITIMES

Global intelligent eyewear market surges as AR and smart glasses gain ground

Global demand for intelligent eyewear is rising fast, with shipments jumping 83% in the first quarter of 2026, according to ...
Nigerian CommunicationWeek

Nwanegbo Bags Africa Digital Award in Applied Artificial Intelligence and Data Science

Kindly share this postIfeanyi Nwanegbo, a distinguished Data Scientist and Applied Data Science professional, has been ...
BMJ

Time trends in newly recorded diagnoses of 19 long term conditions before, during, and after the covid-19 pandemic: population based cohort study in England using OpenSAFELY

3 King’s College Hospital NHS Foundation Trust, London, UK 4 Great Western Hospital NHS Foundation Trust, Swindon, UK 5 Department of Inflammation Biology, King’s College London, London, UK 6 Centre ...
GitHub

Lightning fast forecasting with statistical and econometric models

Current Python alternatives for statistical models are slow, inaccurate and don't scale well. So we created a library that can be used to forecast in production environments or as benchmarks.