AI has been applied to many real-world applications. Machine learning is a branch of AI based on the idea that systems can learn from data, identify hidden patterns, and make decisions with little/minimal human intervention. Evolutionary computation is an umbrella of population-based intelligent/learning algorithms inspired by nature, where New Zealand has a good international reputation. This paper provides a review on evolutionary machine learning, i.e. evolutionary computation techniques for major machine learning tasks such as classification, regression and clustering, and emerging topics including combinatorial optimisation, computer vision, deep learning, transfer learning, and ensemble learning. The paper also provides a brief review of evolutionary learning applications, such as supply chain and manufacturing for milk/dairy, wine and seafood industries, which are important to New Zealand.

A New Research on the Global Emotion Artificial Intelligence Market was conducted across a variety of industries in various regions to produce more than 150 page reports. This study is a perfect blend of qualitative and quantifiable information highlighting key market developments, industry and competitors' challenges in gap analysis and new opportunities and may be trending in the Emotion Artificial Intelligence market. Some are part of the coverage and are the core and emerging players being profiled IBM, Microsoft, Eyesight Technologies, Affectiva, NuraLogix, gestigon GmbH, Crowd Emotion, Beyond Verbal, nViso, Cogito Corporation, Kairos. Import and export policies that can have an immediate impact on the global Emotion Artificial Intelligence market. This study includes EXIM * related chapters for all relevant companies dealing with the Emotion Artificial Intelligence market and related profiles and provides valuable data in terms of finances, product portfolio, investment planning and marketing and business strategy. The study is a collection of primary and secondary data that contains valuable information from the major suppliers of the market.

Facebook is "considering" hiding the numbers of likes to others in posts, similar to an experiment it's doing with company-owned Instagram in several countries. The idea is to take away the popularity contest of posting, which makes people feel bad when their post doesn't perform with big numbers. According to Psychology Today, rejection in digital form (not getting many likes) can sting just as much as in the analog world. Among younger users on Instagram, posting becomes a contest to see who can get the most likes. Facebook wouldn't add more than that it's considering the move, but social media lit up with the possibilities.

RealtyAds is a digital marketing platform that is using AI to help the commercial real estate industry more successfully market their buildings, brokers, and brands to key, target audiences. Trevor Marticke: After graduating from Colgate University with a focus in Political Science and Economics, Trevor moved to Chicago and began his real estate career. He worked as a Tenant Advisor for Transwestern Commercial Services representing companies looking for office space. After 3 years, Trevor and his team were recruited to Cushman & Wakefield to grow their practice globally and continue representing firms as their real estate advisors. Over his career Trevor worked on transactions as far reaching as Sydney, Australia and sourced / executed more than $350mm in total transaction value.

Moven, which works with banks in eight regions, including Westpac New Zealand, provides behavioural models that help banks drive better engagement and retention – little "nudges" such as spending alerts and notifications, and savings prompts. Brett King says Australian banks will struggle to keep up with the likes of Chinese giant Ant Financial. King, who grew up in the Melbourne suburb of Berwick and was speaking at the FINSIA summit in Melbourne on Tuesday, says Moven's experience with TD Canada Trust – Canada's second-biggest bank – provides a good example of what the future might hold. Half of TD's customers use Moven's platform, called My Spend. This group has seen a 4 per cent to 8 per cent reduction in monthly spending thanks to the various "nudges" they receive compared with a controlled group.

Toby Walsh, a professor at the University of New South Wales in Sydney, is one of Australia's leading experts on artificial intelligence. He and other experts have released a report outlining the promises, and ethical pitfalls, of the country's embrace of A.I. Recently, Dr. Walsh, 55, has been working with the Campaign to Stop Killer Robots, a coalition of scientists and human rights leaders seeking to halt the development of autonomous robotic weapons. We spoke briefly at the annual meeting of the American Association for the Advancement of Science, where he was making a presentation, and then for two hours via telephone. Below is an edited version of those conversations. It happened incrementally, beginning around 2013.

The government's peak advisory body on tech and science has turned its attention to the development of an artificial intelligence ethics framework and lifelong learning of STEM skills. The National Science and Technology Council met for the third time in Brisbane last week, after it was launched to replace the Commonwealth Science Council in February this year. The meeting was chaired by Industry Minister Karen Andrews, with education minister Dan Tehan also in attendance. Council members include Professor Genevieve Bell, Professor Barbara Howlett, Professor Debra Henly and Professor Brian Schmidt. They were briefed on the government's progress in developing a national artificial intelligence ethics framework, and the "strong engagement" from stakeholders during consultation.

PERTH, Australia – There is pervasive use of artificial intelligence and machine learning (AI/ML) across the health care industry in Australia, and excitement is building on the opportunities it offers to technologies and ultimately to patients, Ausbiotech CEO Lorraine Chiroiu told BioWorld. "AI/ML is transforming clinical practice in terms of clinical trials, diagnosis, treatment, decision-making, early detection and preventative health," she said. AI is being used for everything from smart medical records to the systems that help set appointments, to hospital records and diagnostic and pathology tests. It's being used in diagnostics for cancer patients to redirect the best treatment regimens based on a number of patient variables, and patient records can be aggregated so that algorithms can narrow down diagnoses. AI is changing the precision around surgeries like knee replacements by using robotic surgery to diagnose the exact angles, Brandon Capital Managing Director Chris Nave told BioWorld.

AI can now flag people based on their clothing, behaviour or race, log an individual's emotions, understand their actions and predict their next move. It can detect when luggage is left unattended, or if someone is loitering; it can even recognise when an individual is acting'unusual' based on others around them. AI is everywhere and getting more advanced every day. Facial recognition technology, in particular, has made leaps and bounds, partially thanks to tagged photographs on Facebook and Instagram as well as government-collected images such as drivers licenses and ID cards. The quality of cameras has also drastically improved, so much so that they no longer just record, they can'see' in real-time.

A semantic equivalence assessment is defined as a task that assesses semantic equivalence in a sentence pair by binary judgment (i.e., paraphrase identification) or grading (i.e., semantic textual similarity measurement). It constitutes a set of tasks crucial for research on natural language understanding. Recently, BERT realized a breakthrough in sentence representation learning (Devlin et al., 2019), which is broadly transferable to various NLP tasks. While BERT's performance improves by increasing its model size, the required computational power is an obstacle preventing practical applications from adopting the technology. Herein, we propose to inject phrasal paraphrase relations into BERT in order to generate suitable representations for semantic equivalence assessment instead of increasing the model size. Experiments on standard natural language understanding tasks confirm that our method effectively improves a smaller BERT model while maintaining the model size. The generated model exhibits superior performance compared to a larger BERT model on semantic equivalence assessment tasks. Furthermore, it achieves larger performance gains on tasks with limited training datasets for fine-tuning, which is a property desirable for transfer learning.