A custom-built AI designed to diagnose brain tumors and predict hematoma expansion dominated some of China's best doctors in a competition last Saturday in Beijing. The AI, dubbed BioMind, ultimately scored 2:0 against its human competitors, comprised of 15 senior doctors from China's premier hospitals. BioMind was developed by a collaboration between a team from the Artificial Intelligence Research Center for Neurological Disorders at the Beijing Tiantan Hospital and researchers from the Capital Medical University. BioMind's developers opted to feed the AI with data sets featuring tens of thousands of images depicting nervous-system-related diseases, which were retrieved from Tiantan Hospital's archives stretching over the past decade. Wang Yongjun, executive vice-president of Tiantan Hospital, stated that this training ultimately enabled the AI to become proficient in diagnosing neurological diseases such as meningioma and glioma with an accuracy rate of over 90%.

Artificial Intelligence in Construction is here and its influence will continue to grow. I'm interested to find out how it will effect multiple aspects of the construction process from the manufacturing of products itself, to the distribution and the installation. How will its introduction be slowed by costs, reluctance to change and most importantly how will it influence the role of the workforce in the construction industry. Artificial Intelligence has always been a fascination for me and for many I'm sure. From Terminator and Robocop to i-Robot and Westworld, the prospect of a world populated by robots is common in Hollywood and all forms of visual entertainment. In the UK we have already had the pleasure of self-service checkouts for almost a decade.

An AI has defeated China's top doctors when competing on detection of a brain tumors and predicting the hematoma expansion. The system defeated a team of doctors who were top 15 in the nation. The AI is named BioMind and it was developed by the Artificial Intelligence Research Centre for Neurological Disorders at Tiantan Hospital in Beijing. BioMind was correct 87% of the time while the doctors have reached 66% accuracy. While the AI took just 15 minutes to find 225 cases the doctors took double the time.

Samsung Research, the advanced R&D hub of Samsung Electronics' SET (end-products) business, has ranked first in two of the world's top global artificial intelligence (AI) machine reading comprehension competitions. Samsung Research recently placed first in the MAchine Reading COmprehension (MS MARCO) Competition held by Microsoft (MS), as well as showing the best performance in TriviaQA* hosted by the University of Washington, proving the excellence of its AI algorithm. With intense competition in developing AI technologies globally, machine reading comprehension competitions such as MS MARCO are booming around the world. MS MARCO and TriviaQA are among the actively researched and used machine reading comprehension competitions along with SQuAD of Stanford University and NarrativeQA of DeepMind. Distinguished universities around the world and global AI firms including Samsung are competing in these challenges.

Over the past few years, startups have brought in a lot of stuff. From healthcare to banking and finance, each sector has gone through a wave of change to bring ease to work. Looking at the latest trends that have come up into the Artificial Intelligence (AI), here's a list of top 10 AI-based startups which are leading the race. Started by four IIT Roorkee friends, Vernacular.ai helps customer enterprises enhance the user engagements. It is basically an NLP driven platform which builds multi-lingual chatbots for businesses.

An artificial intelligence (AI) system scored 2:0 against elite human physicians in two rounds of competitions in diagnosing brain tumors and predicting hematoma expansion in Beijing. The BioMind AI system made correct diagnoses in 87 percent of 225 cases in about 15 minutes, while a team of 15 senior doctors only achieved 66-percent accuracy.

Asking Alexa or her cloud-based buddies to turn on lights, or activate the air conditioning ahead of your arrival home, might seem nifty – for now. As artificial intelligence takes up residence, prepare for a home that doesn't need to be told – it knows intuitively everything about you, anticipating your every move (and mood), and adjusting itself to take care of you. A glimpse of that future was unveiled at technology trade show CES Asia in Shanghai in June, when a new product category – artificial intelligence (AI) – was introduced. John T. Kelley, senior director, international programs and show director, CES Asia, describes artificial intelligence (AI) as "one of those exciting technologies that will become ubiquitous in the next decade as it becomes more deeply embedded in the products that we use day in and day out to make our lives better". AI is already being incorporated in everyday consumer technology products that provide practical benefits, including cars, smart homes, robotics, health and wellness devices and home security, he adds – and in many categories, China is leading the way.

Biomind was developed in a joint venture between a Singaporean tech company, Hanalytics, and China's prestigious Tiantan Hospital. Since December, when the venture started up, tens of thousands of medical images collected over a decade have been used to teach Biomind its job. After months of deep learning, the machine was ready for a competition against 25 experienced doctors at Beijing's China National Convention Center testing their ability to analyze images of the brain.

The traditional banking business is undergoing an exciting period of disruption. Big data, blockchain, an eruption of new competitors of all shapes and sizes … With so much that is new, we run the risk of overlooking how artificial intelligence is already beginning to change the core of the financial business. Its impact is clearly manifest in five areas: Credit scoring (or creditworthiness or rating), market research, personal assistants, asset management, and fraud detection. Startups like Kensho, recently acquired for $550 million, and Dataminr use artificial intelligence algorithms to improve the management of financial assets. Dataminr is specifically focused on identifying patterns and indexes via social networks, whereas Kensho stands out for its ability to establish correlations between news – from Brexit to natural catastrophes – and the markets.

Nearly 250 years ago, the British East India Company under governor general Warren Hastings started'Dewani' (civil) and'Fauzdari' (criminal) court system. The first Law Commission, set up in 1834 under Lord T B Macaulay, did stupendous work towards codification of civil and criminal laws. After the Sepoy Mutiny in 1857, the British government acted on the drafts presented by the commission and enacted Civil Procedure Code, 1859; Indian Penal Code, 1860 and Criminal Procedure Code, 1861. Codification of civil and criminal laws led to a spurt in court-based litigation which stamped out the traditional panchayat system that provided inexpensive justice. By 1920s, India had a population of 11 crore. Yet, courts had started feeling the heat of pendency.