unprecedented. Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us. The pace and scope of change related to the artificial intelligence technology change at play – technical / financial / social / physical / geopolitical. No doubt, people (and machines) will improve on the points as we all aim to adapt to this evolving journey as knowledge – and Surpassed Academia as Data + Compute + Financial Needs Rose *Machine Learning = A subset of AI where machines learn from patterns in data without being explicitly programmed. Note: Academia includes models

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"