We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Shifting focus on a visual scene without moving our eyes—think driving, or reading a room for the reaction to your joke—is a ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory ...

Feelings of guilt and shame can lead us to behave in a variety of different ways, including trying to make amends or save face, cooperating more with ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Sergey Brin, Google co-founder, says Google was slow to scale AI and cautious about chatbots because they say 'dumb things.' ...