Tag: Machine Learning Algorithms

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Bioinformatics and Machine Learning for Primary Sjögren’s Syndrome Diagnostic Model Creation and Validation

This article focuses on Primary Sjögren's Syndrome (pSS), a chronic autoimmune disorder with xerophthalmia and xerostomia as its acute symptoms. It mainly affects women and may also affect other body parts. We present a diagnostic predictive model for pSS, generated from a combination of statistical analysis and machine-learning algorithms, with an impressive accuracy performance and excellent results in its validation set.

Comparing Statistical Models and Machine Learning Algorithms to Identify Predictors of Death or Intensive Care Unit Admission for Internal Medicine Patients with Sepsis

This article from Mahdiyeh Jami presents the results of a study comparing statistical models and machine learning algorithms to identify predictors associated with risk of death or admission to intensive care unit in internal medicine patients with sepsis. Results revealed that the statistical models offered better predictions than the machine learning algorithms. Get a first-hand glimpse of the findings of this groundbreaking research study!

Infineon Buys Swedish Machine Learning Company

Infineon Technologies, a German chipmaker, has further bolstered its reach into the rapidly developing AI and ML markets by acquiring Sweden based startup Imagimob AB. This deal aims to provide Infineon with enhanced energy efficiency, control and privacy protections from Imagimob's edge device development capabilities. Wall Street Journal journalist Mauro Orru wrote the report and is known for covering financial news, technology, and politics.

Mapping Poverty in the Age of Artificial Intelligence

This article discusses how advanced machine learning algorithms and remote sensing data have been used for creating poverty maps with survey-based estimates providing an evaluation of actual poverty levels, though possibly impure. Researchers have conducted experiments to decipher the accuracy of these poverty map validation measures, finding the estimates from public geo-referenced data to underperform older poverty mapping methods.

AI at Human Level – Former OpenAI Researcher Issues Warning of Possible Doom

This article explores Paul Christiano's warning about the risks of artificial intelligence takeovers, based on research done at the OpenAI lab. As a leading AI expert, Christiano believes the odds of a negative outcome could rise to 50:50 if AI reaches human-level capabilities, sparking calls for a pause in further development. With a mission to benefit humanity with safe and secure AI, OpenAI is actively researching, building, and deploying artificial general intelligence to better understanding, and manage ethical AI challenges.

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