PUNDITS in the US are arguing over a technology that is used almost exclusively for elections and pornography. I am referring to deepfakes, videos manipulated with simple apps to swap out faces, distort words and make it look like politicians are starring in hot XXX movies. The fate of deepfakes could change the course of democracy. And that feels very on-brand for the US right now. Technologists first warned about the power of machine learning to create convincing doctored videos back in 2017.

The Pima Indians of Arizona and Mexico have the highest reported prevalence of diabetes of any population in the world. A small study has been conducted to analyse their medical records to assess if it is possible to predict the onset of diabetes based on diagnostic measures. The dataset is downloaded from Kaggle, where all patients included are females at least 21 years old of Pima Indian heritage. The objective of this project is to build a predictive machine learning model to predict based on diagnostic measurements whether a patient has diabetes. This is a binary (2-class) classification project with supervised learning. Jupyter Notebook could be used to follow the process below.

Climate change has emerged as the biggest threat to humanity, with devastating consequences such as extreme weather events, climate migration, and a sharp decline in biodiversity. While the brunt of climate action is shouldered by green parties and public activists like the young Greta Thunberg, in recent years many industries have stepped up innovation to try and do their bit. The informatics industry in particular has been flexing its R&D muscle to propose bleeding-edge solutions. A recent paper published by a group of high-profile AI experts and IT professionals explores the potential that can be found "at the nexus of climate change and machine learning". Headed by David Rolnick, a Postdoctoral Research Fellow at the University of Pennsylvania, the paper puts a spotlight on "high-impact opportunities for real-world change" present in such ML fields as artificial intelligence, computer vision, unsupervised learning, and more.

Climate change has emerged as the biggest threat to humanity, with devastating consequences such as extreme weather events, climate migration, and a sharp decline in biodiversity. While the brunt of climate action is shouldered by green parties and public activists like the young Greta Thunberg, in recent years many industries have stepped up innovation to try and do their bit. The informatics industry in particular has been flexing its R&D muscle to propose bleeding-edge solutions. A recent paper published by a group of high-profile AI experts and IT professionals explores the potential that can be found "at the nexus of climate change and machine learning". Headed by David Rolnick, a Postdoctoral Research Fellow at the University of Pennsylvania, the paper puts a spotlight on "high-impact opportunities for real-world change" present in such ML fields as artificial intelligence, computer vision, unsupervised learning, and more.

Newswire) Investorideas.com, a global investor news source covering Artificial Intelligence issues a special edition of The AI Eye, reporting on recent news from VSBLTY Groupe Technologies Corp. (CSE:VSBY) (OTC: VSBGF) (5VS.F), a leading retail software and technology company using artificial intelligence. VSBLTY Groupe Technologies Corp. (CSE:VSBY) (5VS.F) (OTC:VSBGF) and intelligent lighting solutions provider Energetika's smart city contract with Mexico City has begun deployment. Investorideas.com caught up with VSBLTY co-founder and CEO, Jay Hutton for an interview in which he explained how this smart city contract goes further than what is standard. Hutton said that while smart city solutions typically cover commercial properties, VSBLTY and Energetika are also bringing application to residential spaces. "When you look at smart cities, often you see a focus on commercial applications," he said.

A new artificial intelligence system is capable of detecting diabetic retinopathy 95.5% of the time. The technology was described at the annual meeting of the American Academy of Ophthalmology (12–15 October, San Francisco). The system, named EyeArt, was used to screen 893 patients with diabetes in 15 different medical locations. It can provide a reading within 60 seconds. EyeArt displayed 95.5% sensitivity and 86% specificity, while more than 90% of eyes flagged as positive by the system had diabetic retinopathy or another eye disease.

Hospitals of the future will need to become more'tunable' than ever to the needs of patients and staff. BuildingIQ is already playing a role in this ongoing change by lending the machine learning and artificial intelligence (AI) capabilities of its 5i Platform and services to hospitals in Sydney, Australia. There are a number of reasons why BuildingIQ is the right fit for Hospitals and we explore them in detail in this Market Brief.

When Amazon switched from traditional machine learning techniques to deep learning in 2015, it saw a 15-fold increase in the accuracy of its forecasts, a leap that has enabled it to roll-out its one-day Prime delivery guarantee to more and more geographies; Mastercard has used AI to cut in half the number of times a customer has their credit card transaction erroneously declined, while at the same time reducing fraudulent transactions by about 40%; and using predictive analytics to spot cyberattacks and waves of fraudulent activity by organized crime groups helped Mastercard's customers avoid some $7.5 billion worth of damage from cyberattacks in just the past 10 months [Fortune] The Press Association's news service RADAR (reporters and data and robots) has written 50,000 individual local news stories in three months with AI technology (NLP) guided by a team of 6 reporters [newsrewired.com] Ancestry used AI to extract obituary details that were hidden in a half-billion digitized newspaper pages dating back to 1690. The company's 24-person data-science team trained machine-learning algorithms to recognize obituary content in 525 million newspaper pages. It then trained another set of algorithms to detect and index key facts from the obituaries, such as names of the deceased's spouse and children, birth dates, birth places and more. Ancestry, which has about 3.5 million subscribers, now offers about 262 million obituaries, up from roughly 40 million obituaries two years ago.

When artificial intelligence researcher Regina Barzilay was first diagnosed with breast cancer in 2014, she says she was struck by immediate questions: "Am I going to survive? What's going to happen to my son?" But soon, the Massachusetts Institute of Technology scientist began asking a broader one: Why couldn't her cancer have been diagnosed earlier? Barzilay's quest to find an answer would lead to a remarkable result: the development of an AI-based system for early detection of breast cancer, with the ability to predict whether a patient is likely to develop the disease in the next five years. A technology that had not yet penetrated the hospital setting now has the potential to save many thousands of lives each year.

Artificial intelligence (AI) is a game-changing technology that is affecting all our lives and shaping our future. In the latest ISOfocus issue, we debunk the AI myths, explore the opportunities and explain why globally relevant standards are key. Are killer robots about to take over the world? Mention artificial intelligence to the average person today and this is one of the many scary scenarios that spring to mind. Perhaps this is no surprise when you consider how AI is the technology that enables computers to think and act like human beings.