Aerospace & Defense
Innovation and collaborative, synchronized program management for new programs
Innovation and collaborative, synchronized program management for new programsExplore Industry
Integration of mechanical, software and electronic systems technologies for vehicle systemsExplore Industry
Product innovation through effective management of integrated formulations, packaging and manufacturing processesExplore Industry
New product development leverages data to improve quality and profitability and reduce time-to-market and costsExplore Industry
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assetsExplore Industry
Integration of manufacturing process planning with design and engineering for today’s machine complexityExplore Industry
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
Shipbuilding innovation to sustainably reduce the cost of developing future fleetsExplore Industry
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
“Personalized product innovation” through digitalization to meet market demands and reduce costsExplore Industry
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Siemens Digital Industries Software Machine Learning
The crux of Machine Learning (ML) is based on the recognition that human intelligence hinges more on ‘probability’ than ‘reason’ or ‘logic’. Our brains unconsciously perform more estimation – calculating the fastest driving route based on prior experience, guessing an opponent’s move while playing a board game, plotting a strategy – than using the skill of reasoning and thinking. The human brain relies first and foremost on its ability to assess how likely something is; we are not consciously aware of this.
The machine is flexible in its learning and uses an iterative approach to independently adapt to new data. The models learn from previous computations to produce repeatable and reliable results and decisions. Machine Learning algorithms have been around since the 1950s. However, the ability to apply complex mathematical calculations to big data is a recent development. The growing volumes and varieties of available information, cheap and powerful computational processing and affordable data storage makes the comprehensive machine learning capabilities available.
All of these things mean it's easier than ever for organizations to benefit from this technology by identifying profitable opportunities or avoiding unknown risks, building precise models and analyzing them to deliver effective solutions.
One of the critical questions about machine learning is, how much of human intelligence can be approximated with statistics?