AI Modeling AI Research Computer Scientist 
Unite.AI
DECEMBER 20, 2023
Recent advancements in AI emphasize the need for improved reproducibility due to the rapid pace of innovation and the complexity of AI models. Thus, reproducibility becomes a shared responsibility among researchers to ensure that accurate findings are accessible to a diverse audience.
Unite.AI
OCTOBER 25, 2023
When pitted against established models, such as those underlying popular chatbots, this new neural network displayed a superior ability to fold newly learned words into its existing lexicon and use them in unfamiliar contexts. For nearly four decades, this question has seen AI researchers at loggerheads.
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NVIDIA
NOVEMBER 25, 2024
A team of generative AI researchers created a Swiss Army knife for sound, one that allows users to control the audio output simply using text. While some AI models can compose a song or modify a voice, none have the dexterity of the new offering. Whatever users can describe, the model can create.
Marktechpost
SEPTEMBER 14, 2023
Machine learning models have become indispensable tools in various professional fields, driving applications in smartphones, software packages, and online services. However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists.
IBM Journey to AI blog
APRIL 18, 2024
The exact nature of general intelligence in AGI remains a topic of debate among AI researchers. Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production.
Marktechpost
SEPTEMBER 16, 2023
This means recognizing how social and historical factors influence data collection and clinical AI development. Computer scientists may not fully grasp the social and historical aspects behind the data they use, so collaboration is essential to make AI models work well for all groups in healthcare.
NVIDIA
OCTOBER 8, 2024
The latest AI-accelerated tools — on display at the NVIDIA AI Summit taking place this week in Washington, D.C. include NVIDIA NIM , a collection of cloud-native microservices that support AI model deployment and execution, and NVIDIA NIM Agent Blueprints , a catalog of pretrained, customizable workflows.
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