Exclusive articles:
Machine Learning Predicts Age of Onset for Polyglutamine Diseases
Predicting polyglutamine diseases is now easier with a new AI model that uses machine learning. Researchers at Niigata University in Japan developed the model, and it showed a higher prediction accuracy than other methods. Read the study, published in Neurology Genetics, to learn more.
Deepchecks Raises $14 Million to Advance Machine Learning Validation Technology
Deepchecks secures $14m funding for its machine learning validation solution. Bringing clarity and confidence to the entire ML lifecycle. Learn more now.
RBI Uses AI and Machine Learning to Gain Deeper Insights into Banks’ Operations, says Deputy Governor
The RBI is leveraging AI, ML, and advanced analytics to enhance supervisory data and strengthen its oversight capabilities. These tech-driven approaches will optimize supervision and increase effectiveness.
Machine Learning and Location Data Disrupting Industries
Learn how machine learning can enhance location data insights for businesses. By refining and anonymizing data, it allows for faster and privacy-friendly decision-making. Utilizing the right tools and addressing privacy concerns is key to success.
Efficient Phonation-Driven Control Using Laryngeal Bioimpedance and Machine Learning
Scientists at the University of Cyprus developed a phonation-driven control system that extracts human voice information using laryngeal bioimpedance. This self-calibrating device is ideal for medicine, music technology, and human-computer interaction. With an Artificial Neural Network, the system uses the MIDI protocol to control hardware and software electronic instruments, resulting in a fast and efficacious real-time voice-to-MIDI conversion system.