challengers are racing to build and deploy the next layers of AI infrastructure: agentic interfaces, enterprise copilots, real-world autonomous systems, and sovereign models. Rapid advances in artificial intelligence smartphones, IOT devices, robotics, etc. Source: Weiss et al. ‘AI Index: Mapping the $4 Trillion Enterprise Impact’ via Morgan Stanley (10/23) Enabling Infrastructure CPUs Big Data / Cloud GPUs Computing NVIDIA Co-Founder & CEO Jensen Huang @ COMPUTEX 2025 – 5/2567 ‘Traditional’ Enterprise AI Adoption = Rising Priority68 Enterprise AI Focus – S&P 500 Companies = 50% & Rising Talking-the-Talk . Source:

attributes of tornado.options.options: # myapp/db.py from tornado.options import define, options define("mysql_host", default="127.0.0.1:3306", help="Main user DB") define("memcache_hosts", default="127.0.0.1:11011" multiple=True, help="Main user memcache servers") def connect(): db = database.Connection(options.mysql_host) ... # myapp/server.py from tornado.options import define, options define("port", default=8080 docs of this module): 154 Chapter 6. DocumentationTornado Documentation, Release 6.5.1 port = 80 mysql_host = 'mydb.example.com:3306' # Both lists and comma-separated strings are allowed for # multiple=True

of tornado.options.options: # myapp/db.py from tornado.options import define, options define("mysql_host", default="127.0.0.1:3306", help="Main user DB") define("memcache_hosts", default="127.0.0.1:11011" help="Main user memcache servers") def connect(): db = database.Connection(options.mysql_host) ... # myapp/server.py from tornado.options import define, options define("port", default=8080 parse_command_line) Example (using the options defined in the top-level docs of this module): port = 80 mysql_host = 'mydb.example.com:3306' # Both lists and comma-separated strings are allowed for # multiple=True

Examples julia> A = [1 2.2 4; 3.1 0.2 3; 4 1 2]; julia> B = [1, 2.5, 3]; julia> B0 = copy(B); # a backup copy to facilitate testing julia> ldiv!(lu(A), B); # you may also try lu!(A) to further reduce allocation

Examples julia> A = [1 2.2 4; 3.1 0.2 3; 4 1 2]; julia> B = [1, 2.5, 3]; julia> B0 = copy(B); # a backup copy to facilitate testing julia> ldiv!(lu(A), B); # you may also try lu!(A) to further reduce allocation

Examples julia> A = [1 2.2 4; 3.1 0.2 3; 4 1 2]; julia> B = [1, 2.5, 3]; julia> B0 = copy(B); # a backup copy to facilitate testing julia> ldiv!(lu(A), B); # you may also try lu!(A) to further reduce allocation