Analytics India Magazine2d
LLMs Have Hit a Wall
OpenAI chief Sam Altman thinks otherwise. “There is no wall,” he said regarding the conversation around LLMs hitting a wall.
EDN2d
Applying AI to RF design
An in-depth interview with MathWorks shows how MATLAB has evolved to assist designers to implement AI in their wireless ...
AZoOptics on MSN4d
Using FT-NIR and Machine Learning for Identifying Authenticate Kimchi
By using the near-infrared region of the electromagnetic spectrum, this method can reveal a sample's chemical composition ...
TMCnet4d
Artificial Intelligence in Drug Discovery Market to Hit USD 6.89 Billion by 2029 with 29.9% CAGR | MarketsandMarkets™
The global artificial intelligence (AI) in drug discovery market is projected to reach USD 6.89 billion by 2029 from USD 1.86 ...
Frontiers5d
Machine Learning Integration in Computational Neuroscience: Enhancing Neural Data Decoding and Prediction
Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...
Jain University8d
What are Data Science, Machine Learning, AI, Deep Learning, and Big Data?
Machine learning consists of various algorithms, such as supervised, unsupervised ... Data scientists perform data ...
COBIT8d
Machine Learning Knowledge Looms Large at a Time of Accelerated AI Transformation
New ISACA courses in machine learning will prepare practitioners to better understand the lifecycle of machine learning ...
InfoWorld13d
The machine learning certifications tech companies want
Not all machine learning courses and certifications are equal. Here are five certifications that will help you get your foot ...
Scientific Research Publishing13d
The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems ()
Binjumah, W. (2024) The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems.
Frontiers13d
Prediction of the impact of tobacco waste hydrothermal products on compost microbial growth using hyperspectral imaging combined with machine learning
2020). Machine learning (ML) techniques offer a promising alternative for efficiently and accurately analyzing such complex ...