When you think of artificial intelligence (AI), you might not immediately think of the healthcare sector. However, that would be a mistake. AI has the potential to do everything from predicting readmissions, cutting human error and managing epidemics to assisting surgeons to carry out complex operations. Here we take a closer look at three intriguing stocks using AI to forge new advances in treating and tackling disease. To pinpoint these three stocks, we used TipRanks' data to scan for'Strong Buy' stocks in the healthcare sector.

Siri, do you believe in God? Siri, do you believe in God? Siri, I insist, do you believe in God? "I would ask that you address your spiritual questions to someone more qualified to comment. She – is it a she? – has a point: artificial intelligences (AI) like Siri are less situated than humans to answer questions about religion and spirituality. Existential angst, ethical inquiries, theological considerations: these belong exclusively to the domain of Homo Sapiens. But some futurists and tech experts predict a not-so-distant future in which AI, having achieved a certain indistinguishability from humans, will be truly intelligent. At that point, they claim, AI will experience the world in ways not too unlike the ways that we experience it – emotionally, intelligently, and spiritually. When that day comes, I'll have a new question for her. "Siri, do you have a soul?" A consideration of AI's religious status can be found in some of the earliest discussions of modern computing.

BANGKOK (Reuters) - Britain and France should highlight deteriorating human rights in Thailand when its prime minister visits this month and they should make clear there will be no "business as usual" until he holds a fair election, a rights group said on Monday.

Ltd has invested Rs 2 crore ($294,000) in Pune-based data science company Pivotchain Solutions Technologies Pvt. Ltd. MobiKwik said in a statement that the artificial intelligence and deep learning models built by Pivotchain will be instrumental for its lending products. Pivotchain is a predictive analytics company with expertise in machine learning and artificial intelligence. The statement didn't specify the size of the stake MobiKwik bought in Pivotchain or the valuation. MobiKwik is preparing to roll out digital lending solutions in partnership with banks and non-banking financial companies (NBFCs).

The past few months have been a roller coaster ride for China digital search giant Baidu Inc (ADR) (NASDAQ:BIDU). From the beginning of April to the middle of May, BIDU stock rallied from $220 to $280 thanks to resurgent strength in China technology stocks and a really strong double-beat-and-raise first-quarter earnings report which underscored strengthening long-term fundamentals. But then Baidu stock dropped off a cliff in May after the company announced that its Chief Operating Officer, former Microsoft Corporation (NASDAQ:MSFT) executive Qi Lu, would be stepping down and transitioning to part-time duties at BIDU. Lu was widely considered to be the "AI guy" at Baidu, and AI is at the core of Baidu's growth engine. Thus, losing Lu was a big hit and Baidu stock dropped to below $240.

If you're a Bengaluru resident, it's quite likely that you might have seen mfine's billboards, which are plastered around town, pitching their solution for an on-demand healthcare platform, where you can get a doctor consultation in 60 seconds. The year-old startup, founded by ex-Myntra co-founder Ashutosh Lawania and other members of Myntra's leadership team is not only mobile first, it's also an AI first startup. Its homepage touts its AI healthcare platform, claiming that the system is learning medical standards, protocols, diagnosis and treatment methods. "Software is going to eat the world, but AI is going to eat software." AI and machine learning have made significant incursions into agriculture, transport, education, and healthcare this decade, and some of these ripples can be felt in India too.

A continuous strive towards making payment faster and easier is embracing technology innovation, like never before, which at the same time is creating newer risk exposures for frauds and money laundering. As technology evolves and new form & channel of payment emerge, it creates newer loop-hole for previously unknown pattern of fraud to sneak peek. Initiatives towards Faster & Easier payments are keeping financial industry on its toe to safeguard payments originated anywhere & anytime. Rising trend of P2P and m-commerce are fueling growth in Real-time Retail Payment Systems (RT-RPS). The growth has been encouraging, with 18 countries now having a'live' RT-RPS system in place.

The times are changing, and quite rapidly at that. The current possibilities with technology are limitless, what with SpaceX launching a car into space and buying decisions being made with the assistance of augmented reality. Artificial Intelligence (A.I.) is getting integrated into various industries, including, customer service. Right from helping customers understand shipping and return policies, to getting them the international getaway they have always wanted, A.I. powered chatbots are helping customers with everything. With use cases expanding, and technology evolving, one question has often been asked in the recent past – Where do humans fit in?

The Electronics Entertainment Expo, or E3 for short, is the world's biggest video game trade show and is hosted every year to give industry watchers a look at what's on the horizon. As direct competitors in the console platform and software publishing spaces courting largely similar demographics, Microsoft (NASDAQ:MSFT) and Sony (NYSE:SNE) are often compared to each other. This article originally appeared in the Motley Fool. Putting on the best E3 conference isn't always a harbinger of overall success, but what's spotlighted at the trade show and how it's presented sometimes have a significant impact on the progression of the industry and each company's respective performance. So, who had the better show?

Yeah journey of machine learning development and adoption is much interesting then any other once. From past story of machine learning, it has renounce with much powerful effect this time. Machine learning is just to ask machine to learn from previous data records. It is being useful in taking fast decision where human power is fail to do so. Lets take some piratical example of live world where machine learning has been already applied, self driving cars, friend's suggestion on social media, movies or videos suggestion on online video library and many more.