The Five Ways to Build Machine Learning Models

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications. Machine learning systems are core to enabling each of these seven patterns of AI. In order to move up the data value chain from the information level to the knowledge level, we need to apply machine learning that will enable systems to identify patterns in data and learn from those patterns to apply to new, never before seen data. Machine learning is not all of AI, but it is a big part of it.

AI Is Keeping Watch Over Government Spending

As the world turns increasingly more digital and data-driven, there is increasing desire for greater visibility and transparency of data. Governments around the world have turned to digital means to submit and pay taxes as well as collect a variety of revenue from different sources. Likewise, governments are making deeper use of data and systems for their expenditures and analyzing the patterns of that spending.

How NOAA Is Applying AI Beyond Forecasting: Interview With Eric Kihn

When you think of forecasts, the first thing that comes to mind might be the weather. People have been forecasting the weather since time immortal, using everything from observing nature to oracles and mystics. Fortunately today, we have the power of big data, geospatial imaging, satellite data, worldwide interconnected sensors, radar and doppler imaging, and of course, advanced analytics and artificial intelligence (AI) to enable some of the most accurate, longer-term forecasts that help people get a heads up before weather impacts their daily lives.

The Innovative Ways The United States Space Force Is Leveraging Data And AI

As the newest branch of the United States armed forces, the United States Space Force is at the innovative edge of applying technology and know-how to newly evolving areas of opportunity and threats. As such, it should come as little surprise that advanced uses of data and artificial intelligence are powering many of the innovative applications.

Artificial or Human Intelligence? Companies Faking AI

Artificial intelligence is a hot topic across the board — from enterprises looking to implement AI systems to technology companies looking to provide AI-based solutions. However, sometimes the technical and data-based complexities of AI challenge technology companies to deliver on their promises.

Ron SchmelzerRon SchmelzerNovember 9, 2021artificial intelligence, human intelligence, pseudo ai, reality of aiComment

The Emergence Of ML Ops

In the latter part of the 2000s, DevOps solutions emerged as a set of practices and solutions that combines development-oriented activities (Dev) with IT operations (Ops) in order to accelerate the development cycle while maintaining efficiency in delivery and predictable, high levels of quality.

Ron SchmelzerRon SchmelzerSeptember 27, 2021ML Ops, artificial intelligence, DevOps, tools and solutions, core aspectsComment

How Is AI Helping To Commercialize Space?

Even before modern computers became a reality, science fiction gave us a plethora of examples of artificial intelligence and smart robots in the context of outer space. From Hal in 2001: A Space Odyssey and the computer on Star Trek to C3PO and R2D2 in Star Wars and even the fantastic machines in Hitchhiker’s Guide to the Galaxy, it seems that AI and space go together.

Is The Goal-Driven Systems Pattern The Key To Artificial General Intelligence (AGI)?

Since the beginnings of artificial intelligence, researchers have long sought to test the intelligence of machine systems by having them play games against humans. It is often thought that one of the hallmarks of human intelligence is the ability to think creatively, consider various possibilities, and keep a long-term goal in mind while making short-term decisions.

editorial, Ron SchmelzerRon SchmelzerJanuary 11, 2021goal-driven systems, AGI, artificial general intelligenceComment

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