How AI and automation change brands’ approach to market research
AI-driven automation addresses the biggest limitations of traditional market research: transforming cost, cadence, and quality of insights.Read More
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AI-driven automation addresses the biggest limitations of traditional market research: transforming cost, cadence, and quality of insights.Read More
Keep the planet—and your budget—in mind with these eco-friendly services. But if you can, shop local.
Artificial intelligence and machine learning have made tremendous progress in the past few years including the recent launch of ChatGPT and art generators, but one thing that is still outstanding is an energy-efficient way to generate and store long- and short-term memories at a form factor that is comparable to a human brain. A team …
Read more “Quantum tunneling to boost memory consolidation in AI”
Microsoft’s chatty search interface was impressive. But it also served up glitches, ethical dilemmas—and talk of a mysterious “Sydney.”
Artificial narrow intelligence: Evolution, types, applications, use cases, pros and cons and the future of artificial general intelligence.Read More
A new system represents the first time that the capabilities of conventional beam-scanning lidar systems have been combined with those of a newer 3D approach known as flash lidar. The nonmechanical 3D lidar system is compact enough to fit in the palm of the hand and solves issues of detecting and tracking poorly reflective objects.
A computing device that uses tiny magnetic swirls to process data has been trained to recognize handwritten numbers. Developed by RIKEN researchers, the device shows that miniature magnetic whirlpools could be useful for realizing low-energy computing systems inspired by the brain.
The new large language model (LLM)-driven chatbots could significantly improve customer experience (CX), according to veterans in the field.Read More
Biden’s speech calling for better data protections got a standing ovation from both sides of the aisle. So, where’s a federal privacy law?
Artificially intelligent neural networks, trained by images and videos available on the internet, can recognize faces, objects, and more. But there’s a serious drawback. Teaching machine learning algorithms how to identify people or items by relying solely on the visual library of faces and objects found online underrepresents socioeconomic and demographic groups.