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There are high hopes that artificial intelligence (AI) can help tackle some of the world’s biggest environmental emergencies. Among other things, the technology is already being used to map the destructive dredging of sand and chart emissions of methane, a potent greenhouse gas.
Developing the software talent companies need to grow means thinking in terms of skills rather than roles to navigate this period of uncertainty around talent.
If you use artificial intelligence or manage team members who do, risk awareness and reduction strategies are essential for keeping companies’ reputations and data safe.
The rapid advance of GenAI has been bewildering. No wonder many business leaders are considering whether they’d benefit from the guidance of a strategic-level expert in the field.
Scarlett Johansson's clash with OpenAI over the use of her voice echoes back to the macho Silicon Valley giants of old.
Awarded investigative stories are increasingly relying on machine learning, whether covering Chicago police negligence or Israeli weapons in Gaza.
As generative AI begins to reshape jobs, leaders have an opportunity to reimagine work, the workplace, and the worker. Five actions can help.
Deep learning has been around for a while, but most of us never used a deep learning–based tool until the release of OpenAI’s ChatGPT. Even as we marvelled at ChatGPT’s outputs, most of us didn’t know it was using deep learning to generate them.
For most of our history, we’ve thought learning — the ability to adjust our behaviour based on collected information — was something only humans did. But if you’ve ever unlocked a phone with facial recognition, or interacted with a virtual assistant, you’ve experienced firsthand that machines, too, are capable of...
Humans and machines: a match made in productivity heaven. From the wheel that revolutionised agriculture to the screw that held together increasingly complex construction projects to the robot-enabled assembly lines of today, machines have made life as we know it possible.