The next decade will see AI evolve into dynamic intelligence fabrics, exhibiting contextual awareness, cooperative reasoning, and continuous learning across all sectors.

Brain inspired AI model employs cognitive maps and stochastic calculations for energy efficient problem solving.

Opportunities in AI cognitive computing include rising demand for AI-driven decision support, personalized customer experiences, and process automation. Growth is driven by NLP applications, ...

Scientists created an AI system that uses facial recognition and real-time touchscreen testing to automate cognitive studies ...

Researchers developed a brain-inspired AI model that uses cognitive maps, controlled randomness, and reusable information to solve problems without testing every possible path. The system adapted to ...

Artificial intelligence's true revolutionary impact stems from its convergence with other advanced technologies ...

Neuromorphic photonics leverages the innate speed and bandwidth of light to emulate neural architectures, promising transformative advances in cognitive computing and artificial intelligence. By ...

A team of Mass General Brigham researchers has developed one of the first fully autonomous artificial intelligence (AI) systems capable of screening for cognitive impairment using routine clinical ...

The model was developed by a collaborative team of sleep physicians, AI researchers, data scientists and neuroscientists ...