Is Gato the Generalist AI We’ve Been Waiting For (or Fearing)?
In contrast to specialist AIs, DeepMind based Gato on a transformer neural network architecture, which is similar to a large language
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.
Keeping Models Relevant When Behavior Patterns Change
Customer profiling techniques must learn a customer’s changing preferences and maintain an up-to-date view to continue to make highly relevant decisions as …
Intel Launches Second-Generation Deep Learning Processors
Intel announced the launch of its second generation deep learning processors, which they claim surpass Nvidia's
The Growing Importance of Ethical Data Labeling
For data labeling to be ethical and truly successful, organizations need to ensure that the people behind the tech feel that they are involved in the world …
Charting a New Course of Neural Networks with Transformers
A "transformer model" is a neural network architecture consisting of transformer layers capable of modeling long-range sequential dependencies that are suited …
Real-time Analytics News for Week Ending June 18
In this week's real-time analytics news: Snowflake's conference proved to be a gold mine for new products and services from the company, its partners, and …
The Future of AI: Artificial General Intelligence
To attain true AI understanding, researchers should shift their attention to developing a basic, underlying AGI technology that replicates the contextual …
Are Industry-Specific APIs the New Norm?
For years, developers have used a variety of common APIs. Perhaps the biggest recent shift is the focus on industry-specific APIs.
How Businesses Can Integrate Natural Language Processing
Use of natural language processing is on the rise, aiding businesses in multiple
NIST: AI Bias Goes Way Beyond Data
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI
