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One common type of question that we get is the form: "How does the neural network 'think?' How does the neural network arrive at its answer? Why does the neural network have that particular set of bias/weights?" This is a complicated question to answer. There is a lot of research being done to understand how a neural network "thinks" or "sees" or "hears," but first, it's essential to know how a neural network learns.
When you are a baby just learning to walk, you undergo a complex experimentation/trial and error process. Your mind is actively trying to minimize error — essentially, you are falling, getting up, falling, and learning. When we train neural networks, our goal is to either minimize or maximize an objective function, such as reducing a cost/error function. We are essentially "training" a neural network to respond in a particular manner when fed some specific input.
A neural network is mainly learning is how to map particular inputs to particular outputs. The neural network does this by "inferring" the answer for a specific sample of training. The neural network then performs gradient descent to update the entire system to "inch" towards (hopefully) the global minimum of the error function.
With enough training data, the network will get good at "generalizing" to new use cases. That is a basic introduction to neural networks in a nutshell.
Artificial intelligence includes more traditional approaches like rule-based expert systems (RBES) and behavior trees. These are often found in software systems that rely on domain-specific logic. For example, industrial automation is usually built on rule-based systems—many video games model complex NPC or enemy behaviors via behavior trees.
Machine learning is a subset of artificial intelligence, and Surya Tech has experience with both artificial intelligence and machine learning. Still, we especially value the potential that machine learning brings to our various clients. No matter which venture or product that we embark on with our partners, we ensure that data collection and data-driven design is always a central, guiding principle in the engineering of all of our products.
We find that a vast number of businesses underestimate the value of their data. In fact, many of our current clients viewed data as central to critical business decision-making, but that was where their fascination with data ended. We find that clients undervalue how valuable their data is. We work with clients across numerous industries to unlock the hidden potential of the treasure trove they are sitting on.
With startups and new companies, our experience tells us clients recognize the value of collecting data. Still, unsurprisingly, data isn't a central focus in the initial engineering of the product. This is a big mistake. Software and hardware / IoT systems need to prioritize data collection from the onset. Proper analytics and data-driven insights can help startups avoid costly mistakes and ensure that they are getting the best possible return on investment. This is essential at a period when every dollar counts for the new company.
At Surya Tech, we help and guide clients through the proper development of data-driven systems, collecting, aggregating, and reporting on data on a massive scale. From there, we train machine learning models to learn to automate numerous processes that once required human intervention. Whether you're in agriculture, medicine, the auto industry, retail, manufacturing, or even the government, AI has the potential to enhance how you work and engage with technology.
At Surya Tech, our focus is on applied data science. This involves turning mainstream and bleeding-edge research into practical and novel solutions for our clients and their respective industries.
If clients wish to patent new ideas that we collaborate on, we will help you with that, too, from software to hardware!
We've helped clients automatically identify when crops are ready for harvest using machine learning and robotics. This process saved hundreds of man-hours per week from forgoing manual walk-by inspections. Additionally, we've helped clients in the staffing industry build AI systems to handle scheduling, recruiting, and payments. We've helped a client in the auto industry build a patented real-time digital auction system.
No matter your industry, we will guide you through the research and development process that comes with innovation. We will be your partner every step of the way, from conceptualization and ideation to prototype and design to MVP and beyond. We help you tackle the broader scope of your business as well, from the legal aspects (terms and conditions, privacy policies, patents, and trademarks) to marketing (integration with Google Analytics, Hotjar, Facebook / Snapchat pixels, Instagram, blogging/content marketing, and beyond).
Essentially, we help clients:>