Machine-Vision News

RSS

AI Technologies can Predict Side Effects of Testicular Cancer

Testicular cancer is the most common cancer in young men. The number of new cases is increasing worldwide.

29 Jun 2020

New AI Algorithm can Boost Performance of Fuel Cells, Lithium-Ion Batteries

Thanks to a novel machine learning algorithm, scientists can now look for potential designs for the microstructure of lithium-ion batteries and fuel cells, prior to running three-dimensional (3D) simulations that help them make modifications to enhance performance.

26 Jun 2020

AI-Based Dual-Stain Test Improves Cervical Cancer Diagnosis

A recent study performed by researchers has revealed that a computer algorithm enhanced the efficiency and precision of cervical cancer screening when compared to the Pap test (cytology).

26 Jun 2020

AI Used to Create Microscopic 3D Map of Functional Neuroanatomy

The new German-Canadian lab HIBALL aims to create a microscopic 3D map of functional neuroanatomy at the cellular level with the help of high-performance computing and artificial intelligence.

26 Jun 2020

New AI-Powered Modeling and Risk Evaluation of COVID-19

Researchers from Florida Atlantic University's College of Engineering and Computer Science, in collaboration with FAU's Schmidt College of Medicine, have received a one-year, $90,000 National Science Foundation (NSF) RAPID project grant to conduct research using social networks and machine learning, facilitated by molecular genetics and viral infection, for COVID-19 modeling and risk evaluation.

25 Jun 2020

New Technology to Train AI Systems to Efficiently Recognize Objects

Artificial intelligence (AI) enables machines to recognize objects. For this purpose, large amounts of high-quality image data are required to manually train the algorithms.

25 Jun 2020

New AI Technology for Document and Email Management

iManage, the company dedicated to transforming how professionals work, today announced the availability of iManage RAVN Knowledge Unlocked.

25 Jun 2020

New Data-Driven Solution to Create Realistic Virtual Reality Sword Fights

A team of researchers from the University of Bath, working together with Ninja Theory, a game development studio, has developed a solution to the difficulties involved in creating realistic VR sword fights: Touché—a data-driven, machine learning-based computer model.

24 Jun 2020