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Google's new text-to-image generator displayed glaring biases after only three weeks online. After taking the tool offline last week, the company said it will never be 100% sure the same issues won't resurface.
The number of companies experimenting with the automation capabilities of generative AI platforms is expected to double. But do the hoped-for financial returns justify the high costs of the technology?
If you’ve got one of Apple’s Vision Pro headsets, you should be exploring what feeds the emerging ecosystem rather than sitting back watching wall-sized TV.
Nvidia's unprecedented leap in revenue from higher chip sales for AI and cloud use speaks volumes about the future of the technology and its impact on the economy.
Not surprisingly, generative AI skills topped a list of capabilities companies are seeking in new hires.
Apple, already preparing for the next generation of threats, is introducing upgraded encryption to protect iMessage against future attacks using quantum computers.
Though Apple is touting its high-tech headset as the world’s first 'spatial computing' platform, for most people it’s more like a technologically advanced proof of concept.
OpenAI is not the first to offer generative AI technology that can transform a text prompt into realistic video, but its tool appears to be among the most advanced to date.
Retrieval augmented generation, or 'RAG' for short, creates a more customized and accurate generative AI model that can greatly reduce anomalies such as hallucinations.
Only a week after releasing Gemini 1.0, Google has pushed out for testing its latest multimodal AI model; it offers long-context understanding that can accept more than one million tokens.
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