Optimizing data center energy consumption with predictive analytics
Data centers are consuming a massive amount of power. The easiest solution is to raise temperatures, driving resource utilization down. However, that complicates hardware...
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The role of hypothesis-driven AI in medical research
The medical field has some of the greatest potential for artificial intelligence (AI) implementation. The right algorithms and data could identify hard-to-pin illnesses a...
NeuroAI: What would signal legacy, for the NIH’s BRAIN Initiative?
There is a recent article in STAT, Researchers are betting on cockroaches as the cure to elitism in neuroscience, stating that, “..how the brain uses chemical and...
Revolutionizing meetings with AI meeting assistants
AI meeting assistant is an advanced software tool powered by artificial intelligence that streamlines various aspects of meeting management. These virtual helpers handle ...
AI and IoT: Transforming how we live and work
Even though IoT has been around for a while, adoption has accelerated thanks to recent technology advancements, including improved connections, cloud computing, machine l...
How should AI companies compensate content creators for used training data?
Contents [from] which base AI models were trained, by contemporary creators of varying categories, with an expectation that their contents would be monetized, may have on...
How AI can turn audio recordings into accurate images
AI’s sudden surge in popularity and capabilities empower research teams to enhance its versatility for broader use. The University of Texas at Austin (UT) recently pion...
Transforming technological integration with AI and IoT
Tech and business seem to go hand in hand. Indeed, they do. The evolution of these technologies also has a transformative impact on how companies operate. The most notabl...
A vision for the future of AI: Guest appearance on Think Future 1039
As someone who has spent years navigating the exciting and unpredictable currents of innovation, I recently had the privilege of joining Chris Kalaboukis on his show, ...
Deconstructing Generative Adversarial Networks and synthetic data
The utility derived from the Generative Adversarial Network (GAN) approach to advanced machine learning is less celebrated than that gained from its language model counte...