Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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 ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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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 ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
Physical artificial intelligence (PAI) refers to AI systems that can perceive, understand, reason about, and interact with ...
In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.
Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...
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