Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

The convergence of AI and cybersecurity is no longer theoretical; it is the new battleground for protecting national data, ...

Here are eight ways machine learning and artificial intelligence tools are being leveraged in data centers to solve some of the IT world’s biggest issues around data, cybersecurity and server ...

Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of the last week’s stories in the world of machine learning, along with ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

Firms may use analytical tools—including software, machine learning, or predictive model—so long as they make independent ...