Most experts have settled on a description of Artificial Intelligence as being the scientific endeavor of building computers that mimic the capabilities of the human brain. To put that into perspective, we know that Human Intelligence started to evolve 7–8 million years ago when our oldest ancestors had a brain volume of about 450 cubic centimeters. In the next 3.5 million years our ancestors' brain volume increased to about 1350 cubic centimeters. Modern humans (average brain volume of about 1200 cubic centimeters) evolved from the Homo Sapiens species during a period of dramatic climate change 300,000 years ago. Like other early humans that were living at this time, they gathered and hunted food, and evolved behaviors that helped them respond to the challenges of survival in unstable environments.

Most experts have settled on a description of Artificial Intelligence as being the scientific endeavor of building computers that mimic the capabilities of the human brain. To put that into perspective, we know that Human Intelligence started to evolve 7–8 million years ago when our oldest ancestors had a brain volume of about 450 cubic centimeters. In the next 3.5 million years our ancestors' brain volume increased to about 1350 cubic centimeters. Modern humans (average brain volume of about 1200 cubic centimeters) evolved from the Homo Sapiens species during a period of dramatic climate change 300,000 years ago. Like other early humans that were living at this time, they gathered and hunted food, and evolved behaviors that helped them respond to the challenges of survival in unstable environments.

Nvidia Chief Executive Jen-Hsun Huang, intoduces new graphics processing products and advances based ... [ ] on their Kepler GPU computing architecture technology. Huang demonstrated how GPU's operating in cloud servers can now be used to work, play games or render video, during his keynote at the GPU Technology Conference in San Jose, California. "Within 20 years, machines will be capable of doing anything man can do." Take a stab at when this quote is from. You've surely heard about Artificial Intelligence (AI) before. "AI" often conjures up images of intelligent robots taking over the world.

Neural lace made headlines this month with Elon Musk launching Neuralink, a medical research company that aims to merge the human brain with intelligent computers. And while this sounds like it's pulled from the pages of a Sci-Fi novel, neural lace could be the next advancement in the field of AI. See also: 10 Elon Musk ideas that aren't so crazy. At its most basic form, neural lace is an ultra-thin mesh that can be implanted in the skull, forming a collection of electrodes capable of monitoring brain function. It creates an interface between the brain and the machine. To insert neural lace, a tiny needle containing the rolled up mesh is placed inside the skull and the mesh is injected.

How can Artificial Intelligence (AI) help companies operate in the 21st century? And, when Ardire talks about Machine Intelligence, he means intelligent computers "that process data for pattern discovery, discern context, make inferences, reasons, learns, and improves over time" without supervision by humans. According to the study, for 80 percent of enterprise executives artificial intelligence makes workers more productive and creates new jobs. "Powerful Artificial Intelligence can help make sense of the conversations people have on their networks."

Andrew Thomson is founder and CEO of VentureRadar, a London-based technology scouting startup that uses big data to connect companies with clients. From I, Robot to Ex Machina to Morgan, the idea of creating robots that can understand, compute and respond to human emotions has been explored in movies for decades. However, a common misconception is that the challenge of creating emotionally intelligent computing systems is too great to be met any time soon. In reality, computers are already demonstrating they can augment -- or even replace -- human emotional intelligence (EQ). Perhaps, surprisingly, it is the lack of emotion in computing systems that places them in a such a good position to be emotionally intelligent -- unlike humans, who aren't always particularly good at reading others, and are prone to missing emotional signals or being fooled by lies.

LIKE big hairdos and dubious pop stars, the term "artificial intelligence" (AI) was big in the 1980s, vanished in the 1990s--and now seems to be attempting a comeback. The term re-entered public consciousness most dramatically with the release last year of "A.I.", a movie about a robot boy. But the term is also being rehabilitated within the computer industry. Researchers, executives and marketing people are using the expression without irony or inverted commas. And it is not always hype. The term is being applied, with some justification, to products that depend on technology that was originally cooked up by AI researchers.

Associated Press A file picture of the Ares, a humanoid bipedal robot designed by Chinese college students. From I, Robot to Ex Machina to Morgan, the idea of creating robots that can understand, compute and respond to human emotions has been explored in movies for decades. However, a common misconception is that the challenge of creating emotionally intelligent computing systems is too great to be met any time soon. In reality, computers are already demonstrating they can augment -- or even replace -- human emotional intelligence (EQ). Perhaps, surprisingly, it is the lack of emotion in computing systems that places them in a such a good position to be emotionally intelligent -- unlike humans, who aren't always particularly good at reading others, and are prone to missing emotional signals or being fooled by lies.

Andrew Thomson is founder and CEO of VentureRadar, a London-based technology scouting startup that uses big data to connect companies with clients. From I, Robot to Ex Machina to Morgan, the idea of creating robots that can understand, compute and respond to human emotions has been explored in movies for decades. However, a common misconception is that the challenge of creating emotionally intelligent computing systems is too great to be met any time soon. In reality, computers are already demonstrating they can augment -- or even replace -- human emotional intelligence (EQ). Perhaps, surprisingly, it is the lack of emotion in computing systems that places them in a such a good position to be emotionally intelligent -- unlike humans, who aren't always particularly good at reading others, and are prone to missing emotional signals or being fooled by lies.

The dream of creating intelligent computers has inspired the development of exotic chips based on the structure of the brain, which operates in mysterious ways. Some researchers are making such chips from components found in today's computers. Using components pulled off store shelves, researchers at the University of Tennessee, Knoxville, have made a chip for intelligent computers that can learn. The chips are structured to discover patterns through probabilities and association, helping with decision making. The researchers are using off-the-shelf, reprogrammable circuits called FPGAs (field programmable gate arrays) to simulate the way neurons and synapses in a brain operate.