In a recent study posted to Preprints with The Lancet*, researchers developed a machine learning approach to identify patients with long coronavirus disease (COVID). The post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are called long COVID. In the present study, researchers aimed to generate a robust clinical definition for long COVID using data related to long COVID patients. The team utilized data obtained from electronic health records that were integrated and harmonized in the secure N3C Data Enclave. This allowed the team to identify unique patterns and clinical characteristics among COVID-19-infected patients.
Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it's not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj, an AI research and advisory company, 14% of AI researchers said that AI was an "existential threat" to humanity. Even if the AI apocalypse doesn't come to pass, shortchanging AI ethics poses big risks to society -- and to the enterprises that deploy those AI systems. Central to these risks are factors inherent to the technology -- for example, how a particular AI system arrives at a given conclusion, known as its "explainability" -- and those endemic to an enterprise's use of AI, including reliance on biased data sets or deploying AI without adequate governance in place.
Seven years have passed since world leaders met in New York and agreed on 17 Sustainable Development Goals (SDGs) to solve major challenges such as poverty, hunger, inequality, climate change and health. The pandemic has undoubtedly diverted attention from some of these issues in the last couple of years. But even before COVID-19, the UN was warning that progress in meeting the SDGs was not advancing at the speed or scale needed. Greeting them in 2030 will be difficult. The pandemic has demonstrated like nothing else the power of working collaboratively, across borders, for the benefit of society.
Apple's long-awaited Apple Car could have virtual displays on the inside instead of clear windows, according to a new patent. The tech giant has filed a patent for a virtual reality (VR) vehicle system that matches up'virtual views' with the physical motion of a car as it's travelling. For example, if the car was careering down a hill, the system could project a virtual image of a rollercoaster ride. Chairs in the car would move about to match the visuals, the patent suggests, much like an immersive '4DX' cinema experience. But it would mean passing views of the real world – such as a beautiful medieval cathedral or stunning coastal hills – would be entirely replaced with virtual graphics.
Since completing a degree in journalism, Aimee has had her fair share of covering various topics, including business, retail, manufacturing, and travel. She continues to expand her repertoire as a tech journalist with ZDNet. Drone company Swoop Aero has been given the thumbs up by Australia's Civil Aviation and Safety Authority (CASA) to operate its drone logistics remote operations centre (ROC) at the company's campus in Port Melbourne Victoria. According to the company, the approval means the company will be able to "operate like an international airliner" and centralise its operations in one facility, including remotely monitoring its global operations across Oceania, Africa, and Europe, as well as pilot up to five drones by a single pilot beyond the physical view of the aircraft through a web interface. "The ROC will serve as an important function to foster complete visibility of drone operations. From a regulatory perspective, the ROC ensures Swoop Aero is meeting the highest aviation and safety standards at a global level," Swoop Aero chief regulatory officer Zachary Kennedy said.
According to research by mobile security firm Certo Software and confirmed by MIT Technology Review, Google Search queries related to tracking partners such as a wife or girlfriend commonly return ads for software and services that explicitly offer to spy on other individuals. Stalkerware, also referred to as spyware, is software designed to secretly monitor another person, tracking their location, phone calls, private messages, web searches, and keystrokes. Although Google banned ads promoting stalkerware in August 2020, stalkerware companies are still able to buy ads containing phrases including "app to see spouse's text messages," "see who your girlfriend is texting," and "it's like having their device" against search results such as "read wife's texts app." "We understand that this is not a war between Ukraine and Russia. This is a war of the pure and the light that exists on this earth, and darkness." The problem is that no one can agree how to save it.
Companies struggle to use AI to improve the way their businesses operate, a challenge that can be mitigated by following five rules. There are two faces to the machine-learning component of artificial intelligence algorithms. There are the gee-whiz competitions in which data grand masters, given fixed rules, design algorithms that set in motion a race to solve aspects of complex problems like HIV or traffic forecasting. Open-source libraries have been created to house the winning solutions, allowing parts of them to be used again in future contests. Because speed is crucial, automated data manipulation and pattern identification are frequently employed. The other face of machine learning involves the more real-world challenge of how to fix an obsolescent business process or address a business challenge using algorithms and programs.
We're on a mission to provide security teams with the intelligence they need to confront and stop advanced threats like supply chain attacks, zero day exploits, and ransomware attacks. Cyber attackers still have the advantage. Are you ready to help us reclaim the upper hand? Every day, banks, hospitals, government agencies, and entertainment companies rely on Extrahop's Reveal(x) a cloud-based machine learning cyber security platform to understand which users, devices and network activities they can trust. With this knowledge companies prevent fraud, data breaches, and can focus on building better user experiences, instead of worrying about security.
Chandramauli Chaudhuri leads the Data Science initiatives across Fractal's Tech Media & Telecom vertical in the UK & Europe. He works in close collaboration with senior business stakeholders and CXO teams across some of the leading global enterprises, enabling the development of long-term strategic AI solutions. Being in the field of Artificial Intelligence and Machine Learning for close to a decade and working across a wide range of industries, his primary area of interest lies in R&D, algorithmic customisation, capability enhancement, and MLOps deployments of solutions. Analytics India Magazine interviewed Chandramauli to gain insights into AI transformation at the enterprise level. Chandramauli: As a business leader driving AI transformation across an organisation, it is critical to understand that Artificial Intelligence is just the means of value realisation and not an end goal by itself.