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) …
Twitter announced a new feature that encourages Android Twitter users to read an article before reading it. This raised suspicions that Twitter was tracking user clicks. The move is part of Twitter's stated goal to encourage "informed discussion." Often people share a link without reading the article. That results in click bait titles getting widely promoted regardless of the content.
The connected vehicle is reshaping our view of mobility and transportation. The goal is how rapidly companies can get the information to fleet managers, deploy predictive analytics and machine learning to report fast, and prevent or save the costs of the downtime. The industry is fast changing from the regular telematics used for data collection to a single gateway to provide connectivity to all the peripherals of the vehicle. The Connected Vehicle can communicate with the cloud and/or the transport infrastructure, and broadcast relevant information (e.g. Use cases for this data include real-time congestion reporting and forecasting based on GPS traces.
At a speech at the US Military Academy last weekend, President Donald Trump appeared lethargic and occasionally slurred words. He seemed to have difficulty lifting a glass of water to his lips, and apparently shuffled slowly down a ramp leading away from his dais. The images caught fire on social media and in the press. What might have been a nothingburger for any other elderly, overweight gentleman a day shy of his 74th birthday turned into a news peg--and for renewed demands that the president release results from a comprehensive physical examination, including a neurological assessment to determine if he had motor or cognitive disabilities. Well, here is a counterproposal: Nobody needs to see this president's exam results except the president and his doctors.
World Wildlife Fund for Nature Indonesia (WWF-Indonesia) is on a mission to save critically endangered orangutans in Indonesia. According to WWF, Bornean orangutan populations have declined by more than 50% over the past 60 years and the species' habitat has been reduced by at least 55% over the past 20 years. Severe declines in the orangutan population native to Indonesia and Malaysia can be traced directly back to humans and their cruel poaching and illegal pet trade practices, as well as causing the destruction of habitats. As orangutans are largely solitary and spend much of their lives in trees, conservation efforts to accurately measure remaining populations are complicated and time-consuming, WWF-Indonesia explained. In an attempt to accelerate efforts to save the orangutans, WWF-Indonesia has turned to Amazon Web Services (AWS) to use machine learning services to better understand the size and health of orangutan populations in their native habitat.
A comprehensive new study of North Atlantic right whales has found the species is significantly smaller and less healthy than southern right whales and could be wiped out in the next 20 years without intervention. The study, the largest of its kind, was organized by Dr. Fredrik Christiansen or Aarhus University in Denmark and involved 12 research institutions across five countries. The team used a fleet of drones to capture images of right whales in the North Atlantic and three major regions in the southern hemisphere. A team of researchers organized by Dr. Fredrik Christiansen or Aarhus University in Denmark used drones to photograph right whales around the world and found North Atlantic right whales are far smaller and less healthy than their southern hemisphere counterparts Using a technique called'aerial photogrammetry,' the team correlated basic information about whale width and length to make determinations about the general health of the whales. In an interview with National Geographic, Christiansen said the team was shocked to find the North Atlantic right whales'looked like a runway…you could basically set up a tent on their backs.'
Dr. Albert Hsiao and his colleagues at the UC San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do. The researchers quickly deployed their program, which dots X-ray images with spots of color where there may be lung damage or other signs of pneumonia. It has now been applied to more than 6,000 chest X-rays, and it's providing some value in diagnosis, said Hsiao, the director of UCSD's augmented imaging and artificial intelligence data analytics laboratory. His team is one of several around the country that has pushed AI programs into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care.
While several Member States have or are in the process of developing their AI strategies, smart cities and communities could well be the main beneficiaries of AI. With the increasing use of digital devices, sensors and Internet of Things (IoT), smart cities have seen a tremendous growth in data generated, including real-time and Big Data. This wealth of data, combined with machine and deep learning, can recognise patterns, help predict events, allow for more personalised services, optimise the use of resources as well as strengthen evidence-based analytical capability for policy-making and implementation. In order however, to benefit from the possibilities of AI at local level, there is a need for large amounts of high quality data, with relevance in the urban context (economic, urban, geographical, technical, climatic, health, etc.). Smart cities and communities are however, not yet fully exploiting the value of data and AI.
Much has been written in the past few weeks about the COVID-19 crisis and the ripple effects that will impact human society. Beyond the immediate effect of the virus on health and mortality, it is clear that we are also facing a global, massive financial crisis that is likely to affect our lives for years to come. These changes, along with the expected prolonged social isolation, are bound to have a devastating effect on our mental health, collectively and individually, and, in turn, cause a dramatic deterioration in overall health and an increase in the prevalence of chronic illness. From research conducted by the World Health Organization, we know that most people affected by emergency situations experience immediate psychological distress, hopelessness and sleep issues -- and that 22% of people are expected to develop depression, anxiety, post-traumatic stress disorder, bipolar disorder or schizophrenia. This escalation comes on top of a baseline of 19.1% of U.S. adults experiencing mental illness (47.6 million people in 2018, according to the Substance Abuse and Mental Health Services Administration).
Artificial intelligence is still in its infancy. But it may well prove to be the most powerful technology ever invented. It has the potential to improve health, supercharge intellects, multiply productivity, save the environment and enhance both freedom and democracy. But as that intelligence continues to climb, the danger from using AI in an irresponsible way also brings the potential for AI to become a social and cultural H-bomb. It's a technology that can deprive us of our liberty, power autocracies and genocides, program our behavior, turn us into human machines and, ultimately, turn us into slaves.
While social distancing has forced healthcare conferences to go virtual, it hasn't stopped startups from raising money to fund their early development efforts. Here is a list of companies that have raised money this week. A company developing machine learning algorithms in diagnostics, Dascena said Thursday that it raised $50 million in a Series B round led by Frazier Healthcare Partners, with participation from Longitude Capital, existing investor Euclidean Capital and an undisclosed investor. The company plans to use the money to advance its suite of algorithms to inform patient care strategies and improve outcomes. In addition, Dascena announced Thursday the publication of a prospective study to evaluate the effect of its machine learning algorithm in predicting severe sepsis, in the journal BMJ Health & Care Informatics.