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) …
A lot of organizations seek to engage closely with ML developers, either to increasing product adoption or crowdsource innovation. But a lot of these efforts fall into the trap of "seen-it-done-it-all" trap, where organizations employ the same strategies to engage them which they have utilized for other developers. Machine Learning developers have unique needs from the ecosystem. They face challenges that developers from another stream are largely insulated from. Firstly, ML is a fast-changing domain.
It's common when using social media that the platform suggests people whom you may want to add as friends. The suggestion is based on you and the other person having common contacts, which indicates that you may know each other. In a similar manner, scientists are creating maps of biological networks based on how different proteins or genes interact with each other. The researchers behind a new study have used artificial intelligence, AI, to investigate whether it is possible to discover biological networks using deep learning, in which entities known as "artificial neural networks" are trained by experimental data. Since artificial neural networks are excellent at learning how to find patterns in enormous amounts of complex data, they are used in applications such as image recognition.
Very few human resources (HR) professionals (11%) say their organizations use artificial intelligence (AI) to a high or very high degree. Fast change is on the horizon for HR, however, as a third (33%) anticipate high or very high use of AI in two years. Results from the research study, The State of Artificial Intelligence, Disruption and Innovation, are now available for free download. HR.com's Research Institute conducted the study to examine the state of artificial intelligence in HR and provide insights to prepare for the wave of inevitable AI-based change. Looking ahead to the near future, HR professionals say the key area they expect to see the greatest potential to improve the HR function is in analytics and metrics (78%).
The pace of adoption for AI and cognitive technologies continues unabated with widespread, worldwide, rapid adoption. Adoption of AI by enterprises and organizations continues to grow, as evidenced by a recent survey showing growth across each of the seven patterns of AI. However, with this growth of adoption comes strain as existing regulation and laws struggle to deal with emerging challenges. As a result, governments around the world are moving quickly to ensure that existing laws, regulations, and legal constructs remain relevant in the face of technology change and can deal with new, emerging challenges posed by AI. Research firm Cognilytica recently published a report on Worldwide AI Laws and Regulations that explores the latest legal and regulatory actions taken by countries around the world across nine different AI-relevant areas.
In a world first, scientists have discovered a new type of antibiotic using artificial intelligence (AI). It has been heralded by experts as a major breakthrough in the fight against the growing problem of drug resistance. A powerful algorithm was used to analyse more than one hundred million chemical compounds in a matter of days. The newly discovered compound was able to kill 35 types of potentially deadly bacteria, said researchers. Antibiotic-resistant infections have risen in recent years - up 9% in England between 2017 and 2018, to nearly 61,000.
Because of the exponential growth of text data, enterprises need to work shifting from numeric towards text information. Making sense of text information is becoming a key asset for businesses. Take an insurance company for instance: its whole business is dependent on text data since all its products are defined verbosely. All customer interactions happen in natural language. At the moment, the only way to deal with this mass of textual information is to use a human understanding of language.
Today in so many industries, from manufacturing and life sciences to financial services and retail, we rely on algorithms to conduct large-scale machine learning analyses. They are hugely useful for problem-solving and beneficial for augmenting human expertise within an organization. But they are now under the spotlight for many reasons – and regulation is on the horizon. Gartner projects that four of the G7 countries will establish dedicated associations to oversee artificial intelligence and ML design by 2023. It remains vital that we understand algorithms' reasoning and decision-making processes at every step.
You've heard of robotic bees, but have you heard of robotic butterflies? Chinese researchers have published a study that focuses on their efforts to develop solar-powered wings that imitate the flapping motion of a butterfly. They were able to develop wings that can do this at a rapid rate using light-driven actuators, and a new video shows all of the different ways they can utilize what they've created. The study was published in the journal ACS Applied Materials & Interfaces on January 16th, and a video put out on Wednesday explains how the project came together. When the wing was exposed to the heat of a strong light source, much like the Sun, the polymer layer on the bottom expanded significantly more than the metallic layer on the top, which caused the wing curl.
The need for ethics, standards and policies for the ever-increasing use of artificial intelligence and other emerging tech is the impetus behind a new research center at the University of Michigan. The Center for Ethics, Society and Computing (or ESC -- "Escape" -- for short) is "dedicated to intervening when digital media and computing technologies reproduce inequality, exclusion, corruption, deception, racism, or sexism," according to its mission statement. "[AI] is a topic that used to be on the fringes but more recently has gotten broader attention as we have experienced many unintended consequences of technology," said center Associate Director Silvia Lindtner, assistant professor of information and art and design, in a statement. For instance, the increasing use of AI and data-based algorithms can lead to gender and racial stereotyping. Beyond AI and data usage, the interdisciplinary center will also focus on issues of privacy, augmented and virtual reality, open data and identity.