Knowledge is information and skill acquired through education and usually refers to the theoretical understanding of a subject. Experience can be defined as the practical contact with and observation of facts and events. Both provide information and knowledge but through different means. Knowledge focuses more on the theory and is usually accumulated within a shorter span of time whereas experience requires practice and application of the knowledge over a prolonged period. Al

Now that we’ve officially entered an era when machines can learn to solve complex problems without human intervention, what exactly are the problems they’re tackling? Here are several tasks Deep Learning (DL) supports today. It’s inevitable the list will expand as the algorithms continue to learn via the infusion of data. Virtual Assistants -- Whether it’s Alexa or Siri or Cortana, the virtual assistants of online service providers use DL to help understand your speech and t

Deep Learning (DL) is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. DL, a subset of machine learning, is essentially an artificial neural network with three or more “deep” layers. These neural networks (or algorithms) attempt to simulate the behavior of the human brain, allowing it to “learn” as they draw conclusions from large amounts of data continually analyzed within a given logical structure. Whi

Combinatorial Innovation (CI) is the art and science of creating something new from existing knowledge and resources. Combining unconventional elements in new, creative ways leads to a multiplier effect, increases the potential of a breakthrough discovery or invention and ultimately, an innovation’s impact. It yields solutions to complex challenges and can augment current business capabilities for new insights in the digital world, satisfying customer and industry demands. Th

As technology continues to develop, it’s essential we adapt an enlightened mindset to tackle the possibility of being kicked to the curb by Artificial Intelligence (AI). This is where intrinsic intuition comes into play. While intrinsic means innate, inherent, inseparable, and essential, intuitive is spontaneous and doesn’t require conscious thought. We must overcome our “generic” status by exercising our intrinsic intuition so that it becomes second nature and eventually, a

DALL-E2, OpenAI’s improved version of DALL-E (a nod to “WALL-E, the 2008 animated movie about an autonomous robot, and Salvador Dalí, the surrealist painter) is a neural network that can turn natural language into stunning images, thanks to advanced deep learning techniques. DALL-E2 can create realistic, never-seen-before visuals from a simple text prompt. An example might be a tyrannosaurus playing the accordion while riding a unicycle on the moon. If you tweak the prompt wi

A myth is a widely held but false belief or idea. That a multitude of myths surround AI technology is understandable, since mainstream entertainment and all iterations of media are usually in the business of promoting a negative message to attract eyeballs and generate clicks. It’s time to examine some of the misinformation and develop a more realistic picture of what AI really is. Myth: AI will create an autonomous and malevolent Skynet-style system that will destroy humanit

Here’s a quote to ponder: “Your career is what you paid for; your calling is what you’re made for.” Have you ever considered taking a long, hard look at how you’re currently earning a living? Is it truly aligned with your talents and abilities? Is it something you’d do even if it didn’t generate an income? Tomestic’s Founder and CEO, Poet De’Medici, has some very profound thoughts on the matter that might make you think twice about what the future has in store for those who a

Artificial intelligence (AI) is the simulation of human intelligence within machines programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The goals of AI include learning, reasoning, and perception. Weak AI tends to be simple and single-task oriented, while strong AI carries on tasks that are more complex and human-like. This technology is mu