A man who used AI to create child abuse images using photographs of real children has been sentenced to 18 years in prison. In the first prosecution of its kind in the UK, Hugh Nelson, 27, from Bolton, was convicted of 16 child sexual abuse offences in August, after an investigation by Greater Manchester police (GMP). Nelson had used Daz 3D, a computer programme with an AI function, to transform "normal" images of children into sexual abuse imagery, Greater Manchester police said. In some cases, paedophiles had commissioned the images, supplying photographs of children with whom they had contact in real life. He was also found guilty of encouraging other offenders to commit rape.

Machines routinely outperform experts in predicting, for example, which employee will succeed on the job and optimising a supply chain, because they can process mountains of data through sophisticated equations in the time it takes for a lesser human brain to decide on lunch. Machines can also improve our quality of life as customers by making predictions about what we like to wear, watch, and consume for our health. Though algorithms promise to make our lives smarter, happier, and more efficient, many still struggle to overcome their "algorithm aversion," making them resistant to its benefits. We hesitate to put our faith in an abstract algorithm and would rather seek advice from a living, breathing entity. At least if my doctor or buddy is wrong, I can tease them about their bad gut instinct.

Artificial intelligence (AI) has developed rapidly over the past few years. We have computers, phones and other hardware that can now display abilities and intelligence that makes humans look primitive. With this fast-moving area of technology many are postulating that AI can become conscious, and the implications are that it undermines religious narratives. If AI can be conscious then there is a physicalist explanation for what makes us human.1 The concept of the soul in Islam, referred to as the rūḥ in Arabic, is something that we have little revealed knowledge about.

A week ago, Blake Lemoine, who works at Google's Responsible Artificial Intelligence (AI) team announced the company's Language Model for Dialogue Applications (LaMDA) was sentient . He has since been suspended by the company due to breach of confidentiality. His disclosure was just a few days after Google Vice President Blaise Agüera y Arcas noted in an interview how AI was making strides towards consciousness . Krafton, the makers of PUBG game, also announced ANA, a virtual human that looks real and is powered by hyperrealism and AI. Before we answer the question, let us first understand what sentience is.

Te Herenga Waka-Victoria University of Wellington PhD graduate Dr Qurrat Ul Ain has developed an artificial intelligence programme that could help diagnose skin cancer, using just a photograph. During her PhD, Dr Qurrat Ul Ain developed a computer-aided diagnostic system that can identify certain characteristics of the disease from a photograph of a skin lesion. "Skin cancer has certain unique visual features that help to differentiate it from normal skin," Dr Qurrat Ul Ain says. "These include colour, texture, and the shape of lesions. By showing our artificial intelligence programme images of cancerous skin, we were able to teach it to identify cancer when shown other photographs."

The rights associated with intellectual property are of immense importance to those involved in the development, exploitation and use of computer hardware and software, and information technology generally. Trademarks do not protect technology, but the names or symbols used to distinguish a product in the marketplace. This means that these intellectual property rights accord different types of legal protection on software programmes. The idea must be fixed in definite medium of expression and it must be ascertained that it's the author's own intellectual creation. There are two right or benefits that accrue to a computer programmer with respect to his software programme, which are Economic Right and Moral Right.

Thus, Big Data and Machine learning in the current scenario are very closely interrelated. India has diverse and large amounts of data given the population. AI remains a crucial element of innovation, infrastructure, jobs, skill market and strategic interests of the country whose need has escalated even more due to the pandemic. However, there is an absence of any big data repository, guidelines for usage of big data and the Regulation of AI in India, thus, making it hard to deduce a trend of AI friendly technological ecosystem in the country. It's impossible to approach AI and Big data trends without considering legal implications and accountability for its application.

From the very outset we have been told that one day A.I. will take over everything and replace humankind. And we accept it as truth because when "If you lie and keep repeating it,people will eventually come to believe in it".Everyone today in academics is talking about AI. AI is everywhere but we are missing something. We have been told that AI is the future, it's going to replace you and will take over humans.Is it just a myth or does it holds some truth? Distinction between Weak AI and Strong AI We must understand that there is a difference between weak AI and strong AI.

Artificial intelligence can diagnose breast cancer more accurately than trained doctors, a study suggests. The research on almost 30,000 women who underwent screening found a computer programme could reduce the number of cases missed by more than two thirds. Researchers said the algorithmdeveloped by Imperial College London, Northwestern University in Chicago and Google Health was a "huge advance" in early detection of cancers. Breast cancer is the most common type of cancer in the UK, affecting around one in eight women - with 55,000 diagnoses annually and 11,000 deaths. Experts said the breakthrough could save thousands of lives, by finding deadly tumours that would otherwise go undetected.

Spotting inequality can now be done by a computer using a pre-existing, vast and easily available database of images - Google Maps street view. More than half a million pictures from this catalogue of'on-the-ground' photos were inputted into a deep learning algorithm which unpicked signs of inequality in London. Data collection was done over 156,581 different postcodes and was then applied to Leeds, Birmingham and Manchester. Overview of the street images and outcome data used in the analysis pictured). Esra Suel and colleagues from Imperial College London used deep-learning to train a computer programme designed to detect signs of austerity.