State of AI Report Notes Continued Challenges
The misunderstandings business leaders have about the inner workings of AI and machine learning processes could continue to hamper adoption.
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Self-Driving AI Model Bundles Perception and Control
The solution uses a module that incorporates more data to perceive the surrounding
Study Outlines Industry and Public AI Perceptions
Although public perception is changing, there’s still a serious disconnect. The public today still isn’t quite sure what positive benefits AI brings to …
End of Year 2022: What in Tech is Top of Mind in Logistics
With the recent disruptions, logistics professionals were finally on the hot seat to re-evaluate critical supply chain processes with goals to uncover …
Intelligent Digital Supply Chain Trends to Watch
Companies are trying to address supply chain challenges by leveraging cutting-edge technologies including robotics, edge computing, and artificial
Why Open Source Is the Best Road Ahead for the Software-Defined Car
Automakers need the flexibility and scalability that open-source collaboration is famous for to develop software-defined cars of today and the
Climate Change Negotiations Could Be Empowered by AI
Climate change negotiations and agreements could be more focused and aligned with the use of an artificial intelligence model built on real-world
AI Engineering Gives Organizations a Framework to Address Bottlenecks
As AI adoption continues to flourish, we’re now entering the “AI Engineering Era,” which will enable business and IT leaders to work together to deploy …
Stanford Unveils New Flexible AI Chip
The new chip will use a compute-in-memory concept that handles processing within the memory component
AI’s Achilles Heel: Data Quality
More business leaders and technologists are focusing on improving the data quality behind AI projects to promote more inclusive datasets to take bias out of AI …