Artificial Intelligence over the years has done wonders in various sectors. And with time this sought-after technology is just getting better and better, making human tasks easier than ever. However, there is a bitter fact and that is it can make mistakes -- after all, it's just technology. As the contribution of AI to humanity has been monumental, its failures have also been equally hilarious. In this article, we are going to take a look at five epic instances when AI has failed to the core.

Demand for data scientists – and other IT professionals with AI and machine learning skills – has soared nine-fold in the UK in just four years, according to a new report by recruiters Robert Walters and lead generation firm Vacancysoft. The specialist recruiter said it has seen demand for AI professionals increase from a humble 445 in 2015, to over 4,000 in 2019. With many enterprises still laying the groundwork for AI – in terms of cleaning and collating data – demand for IT professionals dedicated to data management represented the fastest growing gap in the recruitment market. This was particularly pronounced in large or global entities, where the number of vacancies for data engineer roles increased ten-fold in three years. As the recruiter notes: "This is the most visible sign of the importance firms are placing on improving data quality to enable more effective AI."

The advances in Artificial intelligence (AI) have effectively proliferated into numerous sectors, for example, computer vision, speech recognition and natural language processing. This new pattern brought about a wave of academic publications in the field of AI-fueled drug discovery, plenty of startups growing new methodologies and seeking after the inventive business models to change the pharmaceutical innovative work. The pharmaceutical business is likewise reinforcing its internal capabilities around thereby bringing together the previously segregated data sources, hiring data scientists and putting resources into infrastructure. Artificial intelligence can be utilized for target identification, in silico drug configuration, drug improvement, big data analytics, forecast of study threats, patient matching and more. Therefore, it is being trialed as well as deployed by numerous pharmaceutical organizations with some building up their own advanced data analytics platforms which use AI.

When most people encounter artificial intelligence today, it's recommending a new song or movie. AI technology is increasingly used to open up new horizons for scientists and researchers. At the University of Chicago, researchers are using it for everything from scanning the skies for supernovae to finding new drugs from millions of potential combinations and developing a deeper understanding of the complex phenomena underlying the Earth's climate. Today's AI commonly works by starting from massive data sets, from which it figures out its own strategies to solve a problem or make a prediction--rather than rely on humans explicitly programming it how to reach a conclusion. The results are an array of innovative applications.

Australia's financial watchdog might be dreaming of the day when call centre surveillance software automatically catches crooked insurance sales staff. But there's still a way to go before AI-powered voice analytics can decipher the verbage that bubbles out of a sales boiler room. That's the reality check bowled up to regulators and industry rapidly spitballing prototypes of new regtech solutions as banks, insurers and auditors all trying to find ways to automatically detect bad behaviour without creating a profit sapping compliance cost sinkhole in the process. At a closely watched regtech forum late last month, ASIC outlined its findings from a trial of voice analytics software applied to a sample of life insurance sales calls. With a freshly sharpened set of teeth, the watchdog says it sees "great potential" in using voice analytics to automatically identify instances of potential misconduct in life insurance sales calls - but there's a catch.

In 2017 the World Economic Forum's Centre for the Fourth Industrial Revolution teamed up with the Government of Rwanda to draft the world's first framework for governing drones at scale. Using a performance-based approach that set minimum safety requirements instead of equipment specifications, this innovative regulatory framework gave drone manufacturers the flexibility to design and test different types of drones. These drones have delivered life-saving vaccines, conducted agricultural land surveys, inspected infrastructure and had many other socially beneficial uses in Rwanda.

Artificial intelligence can identify illnesses as accurately as trained doctors, a major review has claimed. Research shows AI can spot a host of conditions - ranging from cancer to rare eye diseases - with the same precision as medical professionals. The computer programs uses'deep learning' to train itself to spot diseases by analysing thousands of medical images. It draws on data from past health records to spot similarities in conditions and make an accurate diagnosis without human assistance. Doctors who led the review claimed AI has'enormous potential' for improving the speed and accuracy of diagnosing conditions.

SKILLSFUTURE Singapore (SSG) and IBM Singapore will train 2,500 Singaporeans in artificial intelligence (AI) skills within the next three years in a bid to help them apply AI in areas such as human resource, supply chain management and media.

From self-driving vehicles and autonomous drones, to virtual doctors and automated personal assistants, AI is expected to fundamentally disrupt the way that people live, work and interact with each other. AI is increasingly the key to significant innovations across almost all segments of society, manifesting itself in vastly different applications. There are vast opportunities for businesses operating in industries where AI has become more prevalent. However, with these opportunities come significant challenges. Ashurst's series of articles on AI will consider these issues from an IP perspective.

Alibaba Group is vying to create the hotel of the future. Earlier this year, the e-commerce giant opened its FlyZoo Hotel, which it describes as a "290-room ultra-modern boutique, where technology meets hospitality." The hotel is the first of its kind in that it eschews traditional check-in and key card processes, instead allowing guests to manage reservations and make payments entirely from a mobile app, sign in using self-service kiosks, and enter their rooms using facial-recognition technology. Additionally, the hotel is run almost entirely by robots that serve food and fetch toiletries and other sundries as needed. The hotel was developed by the company's online travel platform, Fliggy, in tandem with Alibaba's AI Labs and Alibaba Cloud technology with the goal "to leverage cutting-edge tech to help transform the hospitality industry, one that keeps the sector current with the digital era we're living in," according to the company.