
Applying Neural Network Model To The Problem Of Cell Size Control
Cell growth and division are two significant areas of research in the field of cell physiology. Of late, there have been several developments in microfluidic
Cell growth and division are two significant areas of research in the field of cell physiology. Of late, there have been several developments in microfluidic
In recent years, much has been said about the dangers of facial recognition, such as mass surveillance and misidentification. However, advocates for digital rights fear
In light of the legal battle involving Amazon and Microsoft’s claims to the $10 billion cloud deal, the USA’s Department of Defense called off the
In a recent announcement, Nintendo revealed a new addition to its Switch line of systems. The all-new Nintendo Switch (OLED model) will be available from
Recently, ‘Quantum Materials’ has evolved as a powerful umbrella concept. It has gained popularity across varied scientific and engineering domains– ranging from condensed matter and
Representation learning is a machine learning (ML) method that trains a model to discover prominent features. It may apply to a wide range of downstream
Starting as a small local enterprise in 1927, Volvo has grown into a major player in the commercial transport and infrastructure solutions market. In May
A wealth of biological data has fueled the ability of scientists and healthcare researchers to utilise powerful computational methods to uncover insights. High-performance computer systems
Autonomous technology is growing at an incredible rate. Recently researchers at MIT developed a single deep neural network (DNN) to power autonomous vehicles on NVIDIA
NVIDIA recently announced that it was creating the first AI-on-5G Open Innovation Lab in partnership with Google Cloud. It is intended to assist industry players
Simulation enables engineers to prototype rapidly and with minimal human effort. In robotics, physics simulations provide a secure and low-cost virtual playground for robots to
Advancements in quantum computing have increased the expectation for its future influence in real-world applications. However, how will quantum computers impact machine learning? Significant efforts
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