Numerous challenges may face us, including climate change, overpopulation, and depleting resources. However, we also have the ability to shape our own futures. Through collaboration and innovation, we can overcome these obstacles and create a better future for all. Nonetheless, it begs the question, "Is AI the human race's future?" The reality is that there is no straightforward answer to this question. Some believe that AI will eventually result in a form of human augmentation in which we become smarter, faster, and more efficient as a result of our merger with technology. Others believe that AI will eventually surpass human intelligence, ushering in a world ruled by machines. There is no correct or incorrect response, and it ultimately depends on the individual's perspective.

Artificial intelligence researchers and engineers have spent a lot of effort trying to build machines that look like humans and operate largely independently. Those tempting dreams have distracted many of them from where the real progress is already happening: in systems that enhance – rather than replace – human capabilities. To accelerate the shift to new ways of thinking, AI designers and developers could take some lessons from the missteps of past researchers. For example, alchemists, like Isaac Newton, pursued ambitious goals such as converting lead to gold, creating a panacea to cure all diseases, and finding potions for immortality. While these goals are alluring, the charlatans pursuing them may have secured princely financial backing that would have been better used developing modern chemistry.

Artificial intelligence researchers should focus on ensuring AI systems "do what we want them to do," rather than just advancing and improving the capabilities of the technology, researchers and experts say. An open letter from the Future of Life Institute this week called for expanded research to ensure AI systems are "robust" and benefit society. Works of science fiction like the film Terminator Genisys have long portrayed artificial intelligence taking over the world and destroying humankind. The open letter says it's time to focus research on making AI safe and beneficial to humans. It says: "Our AI systems must do what we want them to do." Max Tegmark, co-founder of the institute, said in an email that the letter is mainly directed at the AI research community and anyone who funds it. It has been signed by hundreds of researchers and other AI experts, along with physicist Stephen Hawking and Elon Musk, founder of Tesla Motors and SpaceX, who have both spoken publicly about the risks of AI.

Google is ringing in 2014 with a spending spree, first dropping 3.2 billion to acquire Nest Technologies and now spending a reported 400 million (or more) on the UK-based artificial intelligence outfit DeepMind. It's no secret that Google has an interest in artificial intelligence; after all, technologies derived from AI research help fuel Google's core search and advertising businesses. AI also plays a key role in Google's mobile services, its autonomous cars, and its growing stable of robotics technologies. And with the addition of futurist Ray Kurzweil to its ranks in 2012, Google also has the grandfather of "strong AI" on board, a man who forecasts that intelligent machines may exist by midcentury. If all this sounds troubling, don't worry: Google's acquisition of DeepMind isn't about fusing a mechanical brain with faster-than-human robots and giving birth to the misanthropic Skynet computer network from the Terminator franchise.

Artificial intelligence is still not as fast or reliable as human intelligence--which is perhaps a relief for those of you with nightmares of the robot takeover. But now, a new study in PLoS Computational Biology explains why the human brain's enigmatic but effective design works so well--and how we can harness that power to make smarter machines. Hierarchy--the ability to divide units into smaller, functional parts--is the driving force behind every biological system. Our very bodies are organized into organ systems which are made of of organs, organs made up of tissues and tissues made up of cells. But the human brain is the ultimate hierarchical system, with separate areas and sub-regions designed to perform specific tasks for specific body parts.

Michelangelo's'Creation of Adam' as seen through Google's Deep Dream Created by digital artist Kyle McDonald using Google's Deep Dream program. In the summer of 2015, researchers at Google realized they could make their artificial intelligence algorithms dream. They set the programs to not just classify images, but enhance what they saw. The machines showed their interpretation of art. The researchers found they could also set the programs to generate images, giving an idea of how the machine thought certain objects looked.

Artificial intelligence researchers are grappling with more realistic questions like whether their creations will take too many jobs from humans. Eight years after leading artificial intelligence scientists said their field did not need to be regulated, the question of government oversight has re-emerged as the technology has rapidly progressed. On Tuesday, at an event sponsored by the White House Office of Science and Technology Policy, legal specialists and technologists explored questions about autonomous systems that would increasingly make decisions without human input in areas like warfare, transportation and health. Still, despite improvement in areas like machine vision and speech understanding, A.I. research is still far from matching the flexibility and learning capability of the human mind, researchers at the conference said. "The A.I. community keeps climbing one mountain after another, and as it gets to the top of each mountain, it sees ahead still more mountains," said Ed Felten, a computer scientist who is a deputy chief technology officer in the Office of Science and Technology Policy.

The special tracks chair was Barry O'Sullivan, FLAIRS Conference (FLAIRS-19) was Reversals via Representational Refinements"; held 11-13 May 2006 at the Crowne Bob Morris of the NASA Ames The 20th International FLAIRS Conference (FLAIRS-20) will be held May 7 - 9, 2007 at the Casa Marina Resort, which is directly on the beach in Key West, Florida, USA. FLAIRS-20 will feature technical papers, special tracks, and invited speakers on artificial intelligence. The conference is hosted by the Florida Artificial Intelligence Research General Chair Society, in cooperation with AAAI. Geoff Sutcliffe In addition to the general conference, FLAIRS offers numerous special conference tracks. Special tracks provide researchers in focused areas the opportunity to meet and present University of Miami their work.