Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This week, a team of scientists at Salesforce published a study detailing ...

Scientists at the University of Illinois at Urbana-Champaign have developed deep generative models to predict undiscovered sequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ...

Random numbers are used in several important technologies including cryptography and numerical simulation. However, large sequences of truly random numbers are notoriously difficult to generate – and ...

A truly random number is something that is surprisingly difficult to generate. A typical approach is to generate the required element of chance from a natural and unpredictable source, such as ...

Metagenomics often involves sequencing DNA samples that can only be described as "tricky." Such DNA shows high heterogeneity, which can cause interspecies misassemblies. These misassemblies threaten ...

A random-bit-sequence generator is basic equipment for prototyping and testing any data-transmission system. You use such a generator when measuring BER (bit-error ...

The SystemVerilog universal verification methodology (UVM) is an efficient way to generate tests and check results for functional verification, best used for block level IC or FPGA or other “smaller” ...

The seq command is handy for generating number sequences on Linux. It requires at least one number as an argument and, given that, it will provide all the numbers from 1 to whatever number you specify ...