Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
Overview: AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.
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