In this meetup series, we want to inspire everyone to use or implement Machine Learning and AI not only to serve great causes but also to have a demonstrable positive impact on society. We'll be talking about how we can use AI to do just that, through applying it to health, education, democracy, nutrition and more, but also how we can technically implement that while ensuring what we build is ethical. Please register on Eventbrite to be sure to secure a spot! Abstract: Healthcare is one of the most challenging spaces in which artificial intelligence operates. Medical machine learning solutions are highly regulated, require the most personal of data and have literal life-and-death consequences.

The agreement establishing Intel as BBVA's priority partner is part of a series of strategic, global alliances that the Group is formalizing with tech leaders. The goal is to become a more flexible and scalable bank, capable of offering its clients the best data-driven digital services. Automatic learning is a prerequisite for intelligent systems. It enables data-driven predictions and creates new business opportunities. Banking in general, and BBVA in particular, is already taking advantage of this technology in order to improve products and services for its customers.

Ask 100 experts what artificial intelligence is and you'll get a variety of answers. What it's not is a robot standing by the photocopier in each office. We're not at the point where we have the likes of 2001's HAL or Forbidden Planet's Robbie the Robot in our midst. Today, AI is being used for image recognition, object identification, detection, classification and automated geophysical feature detection. These are underlying tasks that once required the input of a human.

Technology has transformed our lives as consumers, but it's only just starting to make a difference to our health: you can look up your symptoms online, track your heart rate with a smart watch and expect your doctor to look up your previous prescriptions. In the future though, technology might give us precision medicine personalised to our own immune systems and genetics. Before that, it can make healthcare more efficient – giving doctors more time to look after patients. As AI and machine learning become more important in medicine, Microsoft is taking existing investments in its healthcare data platform, cloud-scale databases and AI tools and using that as the basis of Healthcare NExT – a set of partnerships to develop solutions that have the right tools for healthcare, at a scale that can help treat and protect everyone. It's based on the MSR NExT initiative for turning research into new lines of business that created new Microsoft products like the Bot Framework and Azure Sphere; in 2015, Microsoft CEO Satya Nadella decided to take the same approach to healthcare and the first pieces are now starting to emerge.

Johnnie Walker owner Diageo has launched a digital experience that uses AI (artificial intelligence) technology to analyse consumers' flavour preferences and match them with their ideal single malt whisky. Diageo's What's Your Whisky? initiative uses AI technology to help consumers find their ideal single malt whisky Available via mobile or any internet-connected device, the What's Your Whisky? digital experience asks users 11 questions to understand what flavours they like. Questions range from'how often do you eat bananas?' to'how do you feel about chillies?'. The programme then uses AI technology and machine learning technologies to assess the user's enjoyment of a range of sweet, fruity, spicy and smoky flavours found in single malts whiskies. The data is then used to create the consumer's personal'flavour print', allowing the technology to then recommend a single malt with a flavour profile that suits the consumer's results.

Minority Report was a classic Steven Spielberg sci-fi film. Employing tech-noir, the film exhibited a dystopian plot showcasing the dire pitfalls and consequences of predictive law enforcement. The movie conceived a futuristic technology, mixing psychics and premonitions, to pre-empt crime, with a suspect apprehended using a special department labelled, quite literally, "PreCrime". Similar themes surrounding the deployment of intelligent machines to aid in law enforcement and criminal justice, which in turn go awry, have consistently featured in popular culture. These seemingly grandiose notions of artificial intelligence (AI) are rapidly finding themselves at play in real life.

Having recently published our Top 20 Global Thought Leaders and Influencers on Internet of Things, we asked a selection of our Thinkers360 global influencers about their predictions for IoT in 2020. Here's what they told us… IoT is about way more than connecting "things". And after years of hype, IoT is poised to fulfill its true promise: creating cleaner, safer cities, highly efficient factories and farms, agile enterprises, and more sustainable ecosystems. AI is becoming readily available in the cloud, sensors are cheap and reliable, blockchain's promise is expanding, and next-gen network solutions -- including 5G and WiFi 6 -- will handle massive amounts of data, securely. By riding that wave of tech synergy, IoT will improve lives in ways we have barely begun to imagine.

"The problem is not AI per se – but that this technology is developed in a biased context around gender, race and class. We need to build systems around the values we want our present and future societies to have." "A critical analysis of AI implies a close investigation of network structures and multiple layers of computational systems. It is our responsibility as researchers, activists and experts on digital rights to provoke awareness by reflecting on possible countermeasures that come from the technological, political, and artistic framework." Did you report on this topic?

Health systems are multi- faceted and continually changing across a variety of contexts and health service levels. For example one of the critical challenges of the resource deficient public health infrastructures worldwide is the spread of the communicable diseases. As seen during the outbreaks of the fatal communicable diseases like Severe Acute Respiratory Syndrome (SARS) in 2003, H1N1 in 2009, the Zika virus in 2016, Ebola and Middle East respiratory syndrome (MERS) in 2014, and the Nipah virus in 2018, infectious diseases can spread rapidly within the countries as well as across the national borders. Artificial intelligence (AI) has been making its way into the healthcare sector, presenting a variety of possibilities in disease diagnosis, treatment, and prevention. The adoption of artificial intelligence in the healthcare sector is growing substantially.

Alibaba Group's cloud unit has published "core codes" of its Alink platform on GitHub, uploading a rang of algorithm libraries that it says support batch and stream processing. These are essential to support machine learning tasks such as online product recommendations and smart customer services. Alibaba Cloud said developers and data analysts could tap the codes to build software functions such as statistics analysis, machine learning, real-time prediction, personalised recommendation, and detection of anomalies. Developed based on unified distributed computing engine Flink, Alink supports a range of open-source data storage platforms other than Alibaba's own proprietary offering, including Kafka, HDFS, and HBase. Alink would be a relevant option for developers seeking big data and machine-learning tools, said Alibaba Cloud's president and senior fellow of data platform, Jia Yangqing.