Samsung has not had the best of luck breaking into the smart digital assistant market, with the very capable Bixby not very well regarded. Samsung is however looking to have another go, and has been teasing a new AI product called NEON with tweets and Instagram posts. Have you ever met an'ARTIFICIAL'?#NEON While the teasers and NEON.Life website do not give much away, the project comes from Samsung STAR Labs, who's remit is "to secure cutting-edge AI core technologies and platforms--human-level AI with the ability to speak, recognize, and think--to provide new AI-driven experiences and value to its customers." The same team also contributes to Bixby, suggesting NEON is an offshoot of that work.

Artificial intelligence garnered a lot of attention from the usual players -- governments, tech giants, and academics -- throughout 2019. But it was also a big year for business AI, with even more growth expected ahead. In a March KPMG survey, more than half of business executives said their company would implement enterprise-scale AI within two years. That is partly what drives PwC estimates that AI will deliver $15.7 trillion to the global economy by 2030. Impressive leaps in 2019 have enabled new business applications for virtual assistants, such as Salesforce's updated Einstein Voice Assistant for sales and customer service apps and IBM's intelligent agent Watson Assistant.

Artificial Intelligence (AI) has paved a new way for innovations that have transcended any other technology's impact on society. Influencing and becoming a critical aspect of many industries, AI has become an important asset to possess. The restaurant business is no stranger to AI either. AI for restaurant business has seen a huge surge in terms of demand and necessity in the past decade. The implementation of AI for businesses has shown strongly about how big of a positive impact AI can provide.

Microsoft is devising a new roadmap for Cortana by integrating it with various applications. Earlier in 2019, Satya Nadela, CEO of Microsoft, said that the firm no longer sees Cortana as a competitor to other prominent virtual assistants Alexa and Google Now. The company is rather working towards revamping the way Cortana is being leveraged across the world. In an announcement on Friday, Microsoft notified users of several countries that they are pulling out Cortana support from Android and iOS platforms. Come 31 January 2020, Cortana will disappear from India, UK, Australia, Mexico, Spain, Canada, Germany, and China.

Eventually, content focused on any area plateaus and becomes repetitive, unimpressive and ineffective. The initial freshness of a topic wears off, and marketers are forced to deliver commonplace posts that reiterate widely-known information and don't really solve readers' problems. Few content creators truly address this problem by creating fresh and beneficial content based on new data, while most others simply recycle and rehash existing information to keep up with content demand. With AI, marketers can satisfy the content demand, create hyper-personalized content and ensure targeted delivery. Here's a summary of 5 such ways in which AI will redefine content creation and delivery.

There have been fast-paced advancements in Artificial Intelligence and related technologies, which has led to AI applications being used in everyday life. Automated customer support systems, chatbots, and personalized shopping experience with product recommendations are common examples. Demand for artificial intelligence and machine learning specialists in the country is expected to see a 60% increase this year due to the increasing adoption of automation, as per a report by KellyOCG India. Artificial Intelligence is influencing people and businesses on a massive scale and has become indispensable. The Artificial Intelligence Industry in India is currently estimated to be US$ 230 million (annual) in terms of revenue, up from US$180 million a year ago.

Personalizing drug prescriptions in cancer care based on genomic information requires associating genomic markers with treatment effects. This is an unsolved challenge requiring genomic patient data in yet unavailable volumes as well as appropriate quantitative methods. We attempt to solve this challenge for an experimental proxy for which sufficient data is available: 42 drugs tested on 1018 cancer cell lines. Our goal is to develop a method to identify the drug that is most promising based on a cell line's genomic information. For this, we need to identify for each drug the machine learning method, choice of hyperparameters and genomic features for optimal predictive performance. We extensively compare combinations of gene sets (both curated and random), genetic features, and machine learning algorithms for all 42 drugs. For each drug, the best performing combination (considering only the curated gene sets) is selected. We use these top model parameters for each drug to build and demonstrate a Drug Recommendation System (Dr.S). Insights resulting from this analysis are formulated as best practices for developing drug recommendation systems. The complete software system, called the Cell Line Analyzer, is written in Python and available on github.

Researchers discovered the dating app Plenty of Fish was leaking information that users had set to private on their profiles. User's names and zip codes were displayed in the app's API, allowing malicious actors to locate a user's exact location. Although the data was scrambled, experts were able to reveal the information using freely available tools designed to analyze network traffic, as first reported by TechCrunch. The discovery was made by The App Analyst, an expert in digital apps, who found that sensitive data was visible via Plenty of Fish's API on October 20th. A fix was developed and tested on November 5th and on December 18th, it confirmed the sensitive data was no longer present in its API.

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives. AI assists in every area of our lives, whether we're trying to read our emails, get driving directions, get music or movie recommendations. In this article, I'll show you examples how artificial intelligence is used in day-to-day activities such as: Artificial intelligence makes it easier for users to locate and communicate with friends and business associates. From tweet recommendations to fighting inappropriate or racist content and enhancing the user experience, Twitter has begun to use artificial intelligence behind the scenes to enhance their product. They process lots of data through deep neural networks to learn over time what users preferences are.

WITH record fines dished out over tech firms' use of personal data, and their public images becoming increasingly tarnished, this was the year the world started to turn against its tech giants. At the beginning of 2019, France's National Commission on Informatics and Liberty hit Google with a €50 million fine for lack of valid consent and transparency around personalised ads. In October, Facebook agreed to pay a fine of £500,000 to the UK Information Commissioner's Office for failing to protect users' personal information relating to the Cambridge Analytica scandal. Although the firm didn't admit fault over data misuse, this is the largest fine that could be issued. Amazon, Apple and Facebook all faced criticism this year over revelations that staff and contractors had listened to audio recordings of people speaking to virtual assistants Alexa and Siri, and voice chats recorded on Facebook Messenger.