You are here: Home > Computer Technology News > What's the Difference Between AI, Machine Learning, and Deep Learning
Back to all articles



What's the Difference Between AI, Machine Learning, and Deep Learning


Published:



The computing world is no stranger to misused terms, the distinction between AI, Machine Learning and Deep Learning are quite important. Especially since consumers may be confused by inappropriate use of these terms. Let’s look at how these concept differ and what they mean.

Any computer enthusiast knows the pain of having to learn mountains of jargon. There’s an obscure term or acronym for everything and companies are inventing more as we speak. Now we’re seeing concepts from computer science thrown around willy-nilly. Artificial Intelligence, Machine Learning and Deep Learning are terms you can now find on the back of a graphics card box or in the description of the latest app that does photo effects. Unfortunately these terms are often misused. Either on purpose or through a lack of diligence the lines between these concept are blurred. Which is why we thought it would be a good idea to try and draw some solid lines around these terms to help you better understand if what your reading actually makes sense or not.



Artificial Intelligence: The Big Umbrella


Artificial Intelligence or AI is a very broad field that deals with many different takes on machine intelligence. Both Machine Learning and Deep Learning fall within this broad church or research areas, but represent specific approaches and applications of AI.

In general, the field of AI deals with computers solving problems and making decisions by (among others) understanding natural language, making sense of objects in space, learning from past experiences and so on.

When most people think of “AI” they envision something like HAL 9000 or Skynet. These are examples of a type of AI that only exists in theory at the moment. Some call it “strong” AI others “general”, but it refers to hardware and software that can replicate human-like intelligence. Solve any general problem posed to it using the same sorts of strategies humans do.

In real life, the only type of AI that exists is “weak” or “narrow” AI. This is technology that uses computing power to perform a single or narrow set of problem-solving functions. These AI can’t do anything else, but do the one thing they are made to do very, very well. The most famous example is of course Deep Blue. A Chess AI that made history when it beat human grandmasters.

Our lives are now infused with narrow AI applications, many of which you may not even notice.





Machine Learning


The act of learning happens when someone gets new information gained through observation, reading or trial and error. This knowledge is then applied to future problems, presumably making it possible to solve them in better ways than before.


In general, computer have to be programmed if you want them to solve problems. This works OK for basic, easily definable scenarios. The real world, however, is a lot more fuzzy and writing a set of rules that will cover a useful number of scenarios is very hard for human programmers.


Machine learning lets a computer look at a set of observations (data) and find patterns in that data. These patterns are then used to generate rules. A good example is software that tries to recognize whether it’s looking at a human face or not. Thousands of varied pictures of human faces are analysed and the software looks for shared patterns. The more faces it sees as examples, the more accurate the resulting algorithm will be at recognizing new faces it’s never seen before as faces and noth something else.


We can thank machine learning techniques for a lot of the smart cloud-based technology we use today. Modern image recognition, prediction, speech recognition and even computer-based medical diagnosis are generally powered by machine learning techniques.




Deep Learning



As the name suggests, Deep Learning takes us beyond machine learning as a general concept and into a specific method of machine learning. There are more than a few machine learning approaches, but Deep Learning is not only fascinating, but very effective at solving certain problems.


The core mechanism of how Deep Learning works mimics the way that the human brain works. While we don’t understand exactly how the neural networks of the brain function, we have had a lot of success with artificial neural networks.

Deep Learning simulates neural network learning, running masses of training data through the network, which then modifies its interconnections to get progressively better at solving the problem. Of course, neural networks have been around for decades. Deep Learning refers to much, much larger artificial neural networks. Usually supported by specialized hardware that offers the massive parallel processing power. This is why GPU technology has been put to use in Deep Learning, with companies like Nvidia providing hardware that accelerated neural network simulations by orders of magnitude compared to using traditional CPUs.



The Future of AI



These three conceptual layers of AI are playing a bigger role in the everyday lives of people than ever before. With the advances in Machine Learning and Deep Learning, it’s now easier to create the illusion that the general AI featured in science fiction are just around the corner. After all, we have Alexa and a whole list of AI-powered tools from Google that seem like magic when they work. The truth however, is that there’s no way if knowing if or when we’ll produce a human-like machine intelligence. It’s not even clear of that’s something we want to do in the first place.


In the meantime, advanced narrow AI techniques such as Deep Learning are making our lives better in a million ways. From helping us solve problems at work to actually improving our health. The impact and applications of Machine- and Deep- Learning are only beginning.






Sort By:
1
Titan S375 - Dual AMD EPYC ROME 7002 Series Processors Rackmount Server PC for Scientific Research up to 128 cores Titan W24 Octane - Intel Xeon W-2400 Series CPUs Content Creation Workstation PC for CAD, 3D and VR Design, up to 24 CPU Cores Titan S599 - Dual 2nd Gen Intel Xeon Scalable Processors Rackmount Server PC for Heavy Computing & Deep Learning up to 56 CPU Cores

Double the power, double the efficiency, and double the innovation; the Titan S375 is a leap forward in workstation technology. By integrating two AMD EPYC Rome processors, this server PC takes multi-core performance to an unprecedented level. For those seeking raw, unadulterated power at a price that respects your budget, the S375 is waiting for you.





4U Rackmount Workstation / Server Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging


Virtual and Augmented Reality are set to be two of the most important development areas in professional work, as well as entertainment, education, and many other use cases. The W24 is designed to get you into the ground floor of VR design, and take you wherever you’d want to go in the future.





Intel Xeon W-2400 Series Processors Workstation Computer for:

AI • Machine Learning • 3D Rendering • CAD/CAM • GPU Parallel Computing • 3D Modeling • CGI • Computer Animation • Video Editing • Design & Visualization • Game Engineering

The Titan S599 is the heavy computing solution you’ve been looking for to fill that lonely gap in your rack solution. With two of the latest Xeon Scalable CPUs on-board, you might need some help sliding this baby in, but once the power is on you’ll wonder how you ever made do with less.





4U Rackmount Workstation / Server Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

Titan W422 Octane - Intel Xeon W-2200 Series Processors Workstation PC for VR Design, CUDA GPU Rendering up to 18 CPU Cores Titan S64 - Intel Xeon W-3300 Series Processors 4U Rackmount Workstation PC for AI, Deep Learning up to 38 CPU Cores Titan W34 Octane - Intel Xeon W-3400 Series Processors Workstation PC for Digital Animation, AI, Deep Learning up to 56 CPU Cores

We’ve carefully chosen the best processor and motherboard combination to let you use as much performance from your multi-GPU setup as possible. In fact, every component in this workstation has been chosen around the concept of multi-GPU computing. If you’re looking to crunch some GPU workloads, this is where to start.





Intel Xeon W-2200 Series Processors Workstation Computer for:

GPU Parallel Computing • Engeniring CAD/CAM • Graphic Design • 3D Modeling • CGI • Computer Animation • Video Editing • Design & Visualization • Gaming


Machine learning is undoubtedly a crucial part of software development as well as providing AI cloud services for a wide variety of application types. The latest server CPUs are packed with specialized machine learning hardware acceleration, and the Titan S64 brings you a rack-mounted AI powerhouse solution in an affordable and compact package.





4U Rackmount Workstation / Server Computer for:

Animation and Modeling • Design & Visualization • 3D Rendering • Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • CGI


We’re living in the AI age now, and if you want to develop or run AI models on your local system, you’ll need the hardware to pull it off in practical time frames The Titan W34 Octane offers the latest Intel Xeon AI-acceleration technology to make short work of your AI projects




Intel Xeon W-3400 Series Processors Workstation Computer for:

Architectural Engineering • GPU Parallel Computing Deep Learning • AI • CAD/CAM • Graphic Design • 3D Modeling • CGI • Computer Animation • Video Editing • Design & Visualization • Medical Science

Titan S34 - Intel Xeon W-3400 Series 4U Rackmount Workstation PC for 3D Animation, AI, Deep Learning up to 56 CPU Cores Titan W64 Octane - Intel Xeon W-3300 Series Processors Workstation PC for AI, Deep Learning up to 38 CPU Cores Titan A400 - Single AMD EPYC Milan 7003 Series - Scientific Research Workstation PC up to 64 cores

3D Animation, AI, and Deep Learning are rapidly evolving and becoming critical components in numerous fields such as entertainment, healthcare, and scientific research. The Titan S34 is built specifically for these cutting-edge applications and designed to give you the best performance right out of the box.





4U Rackmount Workstation / Server Computer for:

Design & Visualization • Data Analysis • AI / Deep Learning Computing • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging • Machine Learning


Built on Intel Xeon 3300-series CPU technology with Ice Lake technology in its veins, the Titan W64 Octane is a cool computer with some hot performance numbers. A CPU monster with new Intel Deep Learning Boost (Intel DL Boost), but can double as a titan of GPU-centric workloads as well. All thanks to the latest, cutting-edge workstation CPU technology from Intel. On the new Xeon W they added more pipes! Specifically, there are now 64 dedicated PCIe lanes. That means four x16 slots for four full-speed, high-end GPUs.





Intel Xeon W-3300 Series Processors Workstation Computer for:

GPU Parallel Computing • Deep Learning • AI • 3D Modeling • Engendering • Computer Animation • Video Editing • Design & Visualization • Rendering


Experience the evolution of CPU performance with the Titan A400. Leveraging the state-of-the-art EPYC Milan technology from AMD, this rack-mountable workstation provides a single-socket solution that redefines the limits of cores and threads. If your work demands a powerful, energy-efficient workstation at an attractive price, the A400 stands ready to deliver.





AMD EPYC Milan 7003 Series Workstation Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

Titan A790 - AMD Ryzen Threadripper Pro 7000 Series Workstation PC - up to 96 cores Titan W599 Octane - Dual 2nd Gen Intel Xeon Scalable Processors Workstation PC for Quad GPU CUDA 3D Rendering and Simulations up to 56 CPU Cores Titan A499 OCTANE PRO - AMD Ryzen Threadripper Pro 5000 WX Series Workstation PC - up to 64 cores

Our Titan A790 OCTANE PRO is a high-performance workstation PC powered by the AMD Ryzen Threadripper Pro 7000 Series, capable of handling up to 96 cores. This workstation is designed for professionals requiring extreme computing power at a highly-competitive price.





AMD Threadripper Pro 7000 Series Workstation Computer for:

3D Rendering • CAD/CAM • Product Design • 3D Modeling • CGI • Computer Animation • Video Editing • Design & Visualization • Machine Learning • Fluid Dynamics


We’re always in a race to build the most powerful machines for every use case and budget point. Which means we can never take a break from trying to improve on our very best performing machines. With this latest generation Titan W599 Octane the envelope of what we can build has been pushed again. The W599 is one of our most powerful and most customized rigs to date. It’s designed to cover both CPU and GPU processing needs using new "Six Channel Memory Configuration". So if you’re thinking about entering the world of high-performance desktop computing, this should be your first stop.







Dual 2nd Gen Intel Xeon Scalable Processors Workstation Computer for:

GPU Parallel Computing • Data Processing • 3D Modeling • Engendering • Computer Animation • Video Editing • Design & Visualization • Rendering

There are plenty of computers out there with “Pro” tacked on to the end of their names, but none like the Titan A499 Octane Pro deliver an equal amount of CPU threads and performance at a price that won’t make you feel like you’re paying for a brand. Like all Titan Workstations, this system is built using top grade internal components to ensure you get the maximum performance out of your processor.





AMD Threadripper Pro 5000 WX Series Workstation Computer for:

3D Rendering • Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • Diagnostic Imaging

Titan S475 - Dual AMD EPYC Milan 7003 Series Processors 4U Rackmount Workstation PC for Scientific Research up to 128 cores Titan X550 - Dual 2nd Gen Intel Xeon Scalable Processors Workstation PC For High CPU / GPU Computing Server up to 56 CPU Cores Titan A475 - Dual AMD EPYC Milan 7003 Series Processors Scientific Research Workstation PC up to 128 cores

The Titan S475 is a masterclass in power and performance. With two third generation Epyc Milan CPUs from AMD, this rackmount workstation is built to handle any scientific research workload you can throw at it. If you're looking for the epitome of power and affordability in one workstation, the S475 is your go-to machine.





4U Rackmount Workstation / Server Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging


You want computer power and you want it now. Whether GPU, CPU or both types of performance the X550 brings the cutting edge of technology straight to your desktop or server rack. Offering a staggering dual Xeon Scalable and Quad GPU configuration, this is one of the most serious number-crunching machines money can buy.





Dual 2nd Gen Intel Xeon Scalable Workstation Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

The Titan A475 is a testament to the marvels of modern computing. With two Epyc Milan CPUs under its hood, this workstation showcases the true power of third-generation technology from AMD. For those seeking a workstation that combines superior performance and extraordinary value, the A475 is your solution.





Dual AMD EPYC Milan Workstation Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

Titan A790 OCTANE PRO - AMD Ryzen Threadripper Pro 7000 Series Workstation PC - up to 96 cores Titan S600 - Dual AMD EPYC Milan CPUs + 8x GPUs Server PC for AI / Deep Learning HPC up to 128 cores - Supermicro 4124GS-TNR Titan S575 - Dual 2nd Gen Intel Xeon Scalable CPUs + 10x GPUs Server PC for AI / Deep Learning HPC up to 56 Cores - Supermicro 4029GP-TRT

Our Titan A790 OCTANE PRO is a high-performance workstation PC powered by the AMD Ryzen Threadripper Pro 7000 Series, capable of handling up to 96 cores. This workstation is designed for professionals requiring extreme computing power at a highly-competitive price.





AMD Threadripper Pro 7000 Series Workstation Computer for:

3D Rendering • CAD/CAM • Product Design • 3D Modeling • CGI • Computer Animation • Video Editing • Design & Visualization • Machine Learning • Fluid Dynamics


The future of AI and Machine Learning is here with the Titan A600. This powerhouse workstation is dedicated to supporting the most demanding AI and Machine Learning systems. With the power of two AMD EPYC Milan CPUs and support for 8 GPUs, the A600 is a monster of deep learning capabilities. Even the most advanced AI would be in awe of the processing power housed within the A600.





4U Rackmount Workstation / Server Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

The X575 is a multi threaded, multi GPU capable system with the option to install up to 10 dual slot GPUs. Perfect for those who want GPU Supercomputing ability in a convenient rack-mounted form, the Titan X575 is a uniquely designed, flexible parallel processing workstation server. Up to 56 hyper-threaded Intel cores and ten GPUs mean no compromises for medical, nuclear, oil & gas or render farm parallel computing applications.





4U Rackmount Workstation / Server Computer for:

Deep Learning • Data Analysis • AI • Machine Learning • Media / Video Streaming • Cloud Gaming • Animation and Modeling • Design & Visualization • 3D Rendering • Diagnostic Imaging

   
 
1