If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
It is 1955, and in the corridors of RAND (Research and Development) Corporation, America's non-profit global policy think-tank, a printer is printing out a map using punctuation marks and symbols. Maybe, but it was also the moment that inspired the development of a phenomenon that is touted be the fundamental determinant of future societies - Artificial Intelligence. Herbert A. Simon, a political scientist, Allen Newell, a researcher in computer science and cognitive psychology and Cliff Shaw, a programmer par excellence, came together after that fateful moment of observing the printer. Simon realized a machine's manipulative capabilities that could simulate decision making, akin to the process of human thought. Thus began their journey to create the Logic Theorist, a program engineered to mimic the problem-solving skills of a human being which are also revered as'the first artificial intelligence program.'
President Donald Trump banned the Centers for Disease Control (CDC) from using a list of words, which include "transgender" and "evidence-based." Needless to say, social media users did not take lightly to the president's decision. In a meeting, led by Alison Kelly, a senior leader in the agency's Office of Financial Services, CDC policy analysts, who are tasked with preparing the 2019 budget that is expected to be released in February, were handed out a list of words that were forbidden to use in official documents for the budget. The mandate from the Trump administration banned the use of seven words – "vulnerable," "entitlement," "diversity," "transgender," "fetus," "evidence-based," "science-based." The news of the ban was originally reported by the Washington Post, which caused immediate outrage among Twitter users.
Many top executives cite intuition as the reason for their success, with leadership often being associated with decisiveness and quick thinking. Seasoned leaders are not only confident in their instincts but also adept at making others feel confident in their judgement. Despite being aware of the machine power on offer and wanting to be more data-driven however, many executives are choosing to discount this approach. The Forbes and PwC report, goes on to mention that this is because the data presented to them by their teams is often unclear or unfamiliar. On the other hand, going with our gut can help us to make faster, more accurate decisions, with human decision-making based on more than just instinct.
The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.
Check out the session "Get Your Hard Hat: Intelligent Industrial Systems with Deep Reinforcement Learning" at the AI Conference in Beijing, April 10-13, 2018. Best price ends January 26. The flurry of headlines surrounding AlphaGo Zero (the most recent version of DeepMind's AI system for playing Go) means interest in reinforcement learning (RL) is bound to increase. Next to deep learning, RL is among the most followed topics in AI. For most companies, RL is something to investigate and evaluate but few organizations have identified use cases where RL may play a role.
"Why incur the expense of generating and collecting all of this IoT data if you're not going to monetize it?" Organizations are racing to embrace the Internet of Things (IoT) as the pundits create "visions of sugar-plums dancing in their heads." McKinsey Global Institute released their study "The Internet of Things: Mapping the Value beyond the Hype" in June 2015 that highlighted the staggering financial value that IoT could create! The folks at Wikibon provided a perspective on the sources of "IoT monetization" in their recent research titled "Harvesting Value at the Edge" written by the always delightful and provocative Neil Raden. IoT, though a useful application of available technology, and well-defined at the hardware and network levels, the heart of IoT, that part that yields the real value, is edge analytics.
Today, it's nearly impossible to ignore the avalanche of cybersecurity noise competing for your attention. For many of us (even those of us in the industry), just getting a grasp on the ever-expanding terminology can be frustrating. You can't help but notice the deluge of terms such as "artificial intelligence," "machine learning" and "expert systems." Simply put, these phrases refer to technologies and approaches at the core of the new cyberworld battleground. When I'm engaging with our customers or audiences during speaking sessions at industry events, they frequently ask about these confusing terms.
The FDA has been championing digital health of late with wide-ranging guidance that derives from the 21st Century Cures Act. This legislation acknowledges the potential that digital health has to make a difference in patient care, potentially leading to more precise therapies. Several developments this week show that the regulator is right to be excited about its potential. Some of the most exciting advances have come in the field of cancer – medical devices firm Angle has produced a new analysis showing that its liquid biopsy device Parsortix could be used instead of conventional tissue biopsies. Parsortix works by monitoring a patient's bloodstream for circulating cancer cells and the University of Southern California research adds to the body of evidence showing that liquid biopsies could replace invasive and unpleasant tissue biopsies in the future.
Artificial intelligence is gradually taking over various aspects of human life, and no matter how well-intentioned the creators of these highly intelligent machines have been, they continue to elicit mixed feelings from different people. While some are of the opinion that artificial intelligence shouldn't exist in the first place, others have received it with open hands because of the numerous advantages they offer man. Artificial intelligence should not be viewed only from the robotic aspect that some see it to be but should be considered with a broader mind with emphasis on how much it has eased humanity's ways of doing things. While some narrow artificial intelligence is designed to carry out small tasks like car driving, facial recognition, speech recognition or internet search, the artificial general intelligence (AGI) can perform broader and multiple cognitive functions. According to Forbes, some great examples of areas where artificial intelligence are being used include voice-powered personal assistants (such as Alexa and Siri), self-driving cars that are powered autonomously, suggestive searches, behavioral algorithms, and the rest.
For the Winter '17 cohort in collaboration with Macquarie Group, over 800 companies were vetted and 10 were accepted. The selected scaleups cover a range of technology verticals applicable to all enterprise. Collectively, the scaleups have raised £40m to date, have between 10 and 40 employees each and have an incredible breadth of enterprise clients -- ranging from Airbnb to Aston Martin to Barclays to Compass Group to L'Oreal to Wells Fargo. Collecting leads at events is a broken process. We're here to fix it.