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) …
Minecraft is one of the most successful games of all time and continues to be a fun and exciting space for gamers of all ages all around the world. It's home to thousands of creators who work together to build massive structures and landscapes or just chill out and focus on building their own wee home away from home. But what if instead of humans coming together to build these structures both big and small, we challenged AI systems to do it themselves? This is the focus of the GDMC -- the Generative Design in Minecraft Competition -- where academic researchers are building AI systems that build entire Minecraft villages by themselves. So before we start exploring the AI systems in earnest, let's cover the basics of the competition itself.
We all live in the digital era, with many innovations easing both our daily lives and business activities thanks to Artificial Intelligence (AI). In this article, we tried to cover a few major points which benefits can digital mind bring to us all and how we may profit from the synergy effect of introducing AI for industrial purposes. The good old Artificial Intelligence is directly connected to Data Science which is, if put shortly, the field of study aimed at gaining business value from arrays of data. This value may consist, for example, in expanding the capabilities of forecasting, awareness of regularities, justified decision-making, etc. In a narrower sense, we may say that AI is algorithms and methodologies for information processing.
Technology is the tool that is empowering the human race with its astonishing innovations. Almost every object that we come across is based on the foundation that has a significant share in digitizing our lives. Determining which is better data science or artificial intelligence is undermining one over another. However, both the technologies have their contribution to revolutionizing not only the business operations but also the lifestyle. This article aims to cover the technologies that have become a major sector of investment in the IT industry.
It is a breakthrough moment for neuroprosthetics. A team of scientists from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland has combined human control and AI robotics to improve prosthetics' movements -- a world-first for this method of neural prosthetics. Their work was published in Nature Machine Intelligence in September. The formal term is neural prosthetics. These types of prosthetics stimulate a person's nervous system through electrical stimulation to make up for deficiencies that get in the way of general motor skills.
Data science is shifting towards a new paradigm where machines can be taught to learn from data to derive conclusive intelligent insights. Artificial Intelligence is a disruptive technology that collates the intelligence displayed by machines mimicking human intelligence. AI is a broad term for smart machines programmed to undertake cognitive human tasks that require judgment-based decision making. With all the hype and excitement surrounding Artificial Intelligence, businesses are already churning data in massive quantities over call logs, emails, transactions and daily operations. Machine learning (ML) is a dynamic application of artificial intelligence (AI) that empowers the machines to learn and improve the model accuracy levels.
Quantum Computing is approaching a period of commercialization that may change our reality. Early adopters of quantum's remarkable capacity to take care of specific kinds of issues may accomplish achievements that empower new business models. Visionary enterprises are now lining up with the developing quantum computing ecosystem to become "quantum ready." These ground breaking enterprises are exploring use cases and related algorithms that address complex business issues. Artificial Intelligence (AI) and Machine Learning (ML) based analytics solutions require aggregating and analysing data to train them to copy real-world observed behaviours.
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. The short excerpt below from the 1938 film La Femme du Boulanger (The Baker's Wife) ingeniously depicts how the human mind can extract deep meaning from life experiences and perceived situations. In the movie, directed by Marcel Pagnol, the baker Aimable welcomes his wife Aurelie, who has just come back after running off with a shepherd days earlier. While Aimable treats Aurelie with sweet words and a heart-shaped bread (which he had baked for himself), he shows no kindness toward Pomponette, his female cat who coincidentally returns home at the same time as Aurelie, after abandoning her mate Pompon for a chat de gouttière (alley cat). Aimable calls Pomponette ordur (junk) and a salope (a rude term) who has run off with un inconnu (a nobody) and bon-a-rien (good for nothing) while the poor Pompon has been miserably searching for her everywhere.
A team of NASA astrophysicists has put the fate of entire star systems in the hands of an AI algorithm. The system -- dubbed SPOCK -- by NASA and Princeton University astrophysicist Daniel Tamayo, doesn't actually decide which worlds will live and die. But it can predict the paths of exoplanets, and determine which ones will remain stable and which will crash into other worlds or stars, far more accurately and at greater scale than humans ever could. Since the first exoplanet was discovered in 1995, scientists have identified more than 4,000 worlds elsewhere. Over 700 of them are in star systems containing more than one planet, Tamayo said in a press release, which potentially puts them at risk of devastation collisions.
Ever ask your data scientists how they are feeling? More than a quarter (27%) of data experts report feeling unfulfilled or very unfulfilled in their roles, according to a survey released last month by Sigma Computing. Low-value ad hoc reporting requests drain most data experts because they take up half of their time, researchers found. Those reports grow and "spiral into never-ending projects," with more than half (53%) saying they get up to four follow-up questions for each fulfilled data request. Heck, some of their work never even gets finished.
What if you could make software testing simple? What if it could be done without all the conversations, questions, defect reports, and metrics? We've been promised artificial intelligence (AI) as the solution to all problems related to testing, especially by those who have never tested--those who believe that what we do as testers is little more than tapping screens to make comparisons. Although I've stated that AI is coming and will change software testing forever (eventually), we're not there yet--not even close. But that doesn't mean we can't use AI to support our testing efforts.