Elizabeth Wallace

Organizations need to shift from merely consuming cloud services to creating value with them via a coherent cloud strategy.

Biotech companies are finding generative AI has applications in drug discovery, protein engineering, and personalized medicine.

The recent RoboCat update doubled its success rate on novel jobs making it compelling technology for organizations that want to optimize operations and expand automation.

The automotive industry’s embrace of smart factory modernization will revolutionize production processes (and, in many cases, already has), enabling real-time monitoring, predictive maintenance, and optimized workflows.

Intelligent vision systems have applications in autonomous driving, smart manufacturing, and more industries.

Although employees still have some concerns, SMBs confirm that they’ll be investing in AI tools in the next year or so.

Generative AI has tremendous potential to alleviate burdens faced by SecOps teams, but most companies remain cautious.

As more medical teams leverage AI, scientists hope that solutions to persistent drug-resistant bacteria will appear more readily while reducing research costs.

Data analytics has become a primary driver of business success, and the potential for data-driven business strategies is greater than ever.

The system is similar to how human vision works by discarding irrelevant or redundant information, allowing the ONN to quickly sort out important information.

Photonic neural networks represent a promising technology that could revolutionize the way businesses approach machine learning and artificial intelligence systems.

Driving IoT’s growth is the fact that retailers are seeking a seamless shopping experience that IoT can provide.