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) …
Are you just starting out programming and wondering where to learn Machine Learning? Check out my website https://lnkd.in/e2nHYsG This website teaches you Machine Learning in seven easy and concise lessons built for programming beginners. It takes you from what to download to program Machine Learning algorithms all the way to programming Neural Networks on your own computer. Not only that, but you can also learn applications of Machine Learning in the real world, like how Spotify creates personalized playlists for you, and how they are programmed.
Artificial Intelligence is gradually evolving the idea of our day to day lifestyle. No wonder, the style of working is also an integral part of our daily life. The concept of "agile workplace" used to be a far-fetched dream for humans. The invention of technology has made everything possible for us. Chatbots, AI-enabled Robots had never been invented if the AI technology was not available.
AI could also have a transformative effect on clinical decision-making through the utilisation of the huge levels of genomic, biomarker, phenotype, behavioural, biographical and clinical data that is generated across the health system. Bayer and Merck & Co provide a perfect example of this. They have developed an AI software system to support clinical decision-making of chronic thromboembolic pulmonary hypertension (CTEPH) – a rare form of pulmonary hypertension. The software helps differentiate patients from those suffering with similar symptoms that are actually a result of asthma and chronic obstructive pulmonary disease (COPD), and therefore diagnose CTEPH more reliably and efficiently. The CTEPH Pattern Recognition Artificial Intelligence obtained FDA Breakthrough Device Designation in December 2018.
This post provides an overview of chest CT scan machine learning organized by clinical goal, data representation, task, and model. A chest CT scan is a grayscale 3-dimensional medical image that depicts the chest, including the heart and lungs. CT scans are used for the diagnosis and monitoring of many different conditions including cancer, fractures, and infections. The clinical goal refers to the medical abnormality that is the focus of the study. Many CT machine learning papers focus on lung nodules.
In late February, a paper appeared in the journal Cell with encouraging news regarding one of the world's most persistent public health problems. Researchers at Massachusetts Institute of Technology and Harvard University had used artificial intelligence to identify a chemical compound with powerful antibiotic properties against some of the world's most drug-resistant strains of bacteria -- a welcome discovery in a world where 700,000 people die every year from drug-resistant infections. It was the first time an antibacterial compound had been identified this way. The researchers named it halicin, in honor of the computer HAL in the film 2001: Space Odyssey. While the global need for new antibiotics to treat drug-resistant infections is as pressing as it was at the start of the year, the world's attention has been diverted by the novel coronavirus pandemic, and the hunt for a vaccine that can halt Covid's spread.
Several deadly viral outbreaks have happened in every part of the world, making all the nations race for a vaccine development every time. Similarly, COVID-19 or the novel coronavirus demands numerous research teams to find a vaccine to fight against this lethal virus. Wonder how machine learning contributes? Advanced technology is the greatest strength that researchers have in this digital era as it gathers data from all resources and offers useful insights. It's not just the biological researchers who work for vaccine development.
Online dating is great, but there's a slight shudder factor attached to the practice now that everyone and their mother (literally) has some sort of profile. The biggest advantage, obviously, is the potential to meet thousands of eligible singles who you likely wouldn't have known existed otherwise. But whether those singles use their profile regularly or are even on it for the right reasons is another question -- thus, the terrifying edge that can cause singles genuinely searching for the real thing to shy away from such a valuable tool. SEE ALSO: Match vs. eharmony: Both are for serious relationships, but how do the dating sites compare in the UK? When the dating pool is so deep, it's important to narrow down your options to dating sites that are most likely to attract a very specific type of person and introduce you to people who have the same intentions that you do.
As Artificial Intelligence is becoming a mainstream and easily available commercial technology, both organizations and criminals are trying to take full advantage of it. In particular, there are predictions by cyber security experts that going forward, the world will witness many AI-powered cyber attacks1. This mandates the development of more sophisticated cyber defense systems using autonomous agents which are capable of generating and executing effective policies against such attacks, without human feedback in the loop. In this series of blog posts, we plan to write about such next generation cyber defense systems. One effective approach of detecting many types of cyber threats is to treat it as an anomaly detection problem and use machine learning or signature-based approaches to build detection systems.