Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

We are now getting closer to the adoption of AI for business as a direct contributor more than before, with generative AI emerging as a transformative force. Generative AI, which is technically a ...

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 ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...

Artificial Intelligence (AI) has become an integral part of modern technology, transforming various industries by simulating human intelligence through computers. This guide delves into the world of ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...