In this paper, we introduce the increasing belief criterion in association rule mining. The criterion uses a recursive application of Bayes' theorem to compute a rule's belief. Extracted rules are required to have their belief increase with their last observation. We extend the taxonomy of association rule mining algorithms with a new branch for Bayesian rule mining~(BRM), which uses increasing belief as the rule selection criterion. In contrast, the well-established frequent association rule mining~(FRM) branch relies on the minimum-support concept to extract rules. We derive properties of the increasing belief criterion, such as the increasing belief boundary, no-prior-worries, and conjunctive premises. Subsequently, we implement a BRM algorithm using the increasing belief criterion, and illustrate its functionality in three experiments: (1)~a proof-of-concept to illustrate BRM properties, (2)~an analysis relating socioeconomic information and chemical exposure data, and (3)~mining behaviour routines in patients undergoing neurological rehabilitation. We illustrate how BRM is capable of extracting rare rules and does not suffer from support dilution. Furthermore, we show that BRM focuses on the individual event generating processes, while FRM focuses on their commonalities. We consider BRM's increasing belief as an alternative criterion to thresholds on rule support, as often applied in FRM, to determine rule usefulness.

Managing Marketing is a weekly podcast hosted by TrinityP3. Each one is a conversation with a marketing thought-leader, professional, practitioner or expert on the issues and topics of interest to marketers and business leaders everywhere. In this special series, TrinityP3's Anton Buchner, discusses the rise of Artificial Intelligence and the impact it is having on marketing. Jay Henderson is the Senior Vice President of Product Management at Acoustic (formerly Watson Customer Engagement – purchased from IBM by Centerbridge Partners, and rebranded in 2019 as Acoustic). He talks about how machine learning algorithms should be seen as working together with marketers. Offering options and solutions for marketers to assess and consider, rather than being seen as a distrustful'black box' of solutions running rampant by themselves. Welcome to Managing Marketing, a weekly podcast where we sit down and talk with marketing thought leaders and experts on the issues and topics of interest to marketers and business leaders everywhere. To discuss this I'm sitting down today with Jay Henderson. Jay is the senior vice-president of product management for Acoustic. Thanks, I'm really excited to be here. You've just flown in so you've got over your jetlag? I got here a couple of days ago. We're here today in Sydney to launch the Acoustic brand and the company into the Australian market.

Technology develops differently in Japan. While US tech giants have been grabbing artificial intelligence headlines, a business AI sector has been quietly maturing in Japan, and it is now making inroads into America. Today we sit down again with Miku Hirano, CEO of Cinnamon, and we talk about how exactly this happened. Interestingly, Cinnamon did not start out as an AI company. In fact, when Miku first came on the show, the company had just launched an innovative video-sharing service. Today, we talk about what lead to the pivot to AI and why even a great idea and a great team is no guarantee of success. We also talk about some of the changing attitudes towards startups and women in Japan, the kinds of business practices AI will never change, and Miku give some practical advice for startups going into foreign markets. It's a great discussion, and I think you will really enjoy it. Welcome to Disrupting Japan, straight talk from Japan's most successful entrepreneurs. Today, we're going to sit down and talk about artificial intelligence with Miku Hirano of Cinnamon. Now, Cinnamon is actually a great example of a successful Japanese startup pivot. When we first sat down with Miku four years ago, she had an innovative micro-video sharing company called Tuya and really, you should go back and listen to that episode. I've put a link on the show notes and it was really a good one.

In its 4 year existence the Israeli start-up Taranis has seen huge growth. Taranis started as a tool to provide farmers with the information to detect and prevent crop disease, weeds and insect damage based on weather forecasts gathered from aerial surveillance. The technology was then further developed by adding visual layers from satellites, planes and drones and leveraged with AI capabilities. Taranis also created a one-of-a-kind, patented hardware that can capture accurate images at a high resolution from a plane flying at 160 km/h, such as a specific insect on a leaf from 200 feet above ground. Taranis CEO Ofir Schlam says the future of the precision farming industry is looking bright, with thousands of start-ups emerging within the last 10 years. According to him, smart farming is projected to create a massive impact on the agricultural economy in the near future and will be dependent on precision technologies, such as the adoption of automated practices and indoor urbanised farming.

After adjusting your search parameters, press Enter on your keyboard or click on the red magnifying glass to run your query again. Murdoch plan to reunite Fox with News Corp. finds few fans Several analysts said the potential recombination is unlikely to solve one of the key problems facing Fox and News Corp. -- low valuations relative to their peers. Norah O'Donnell will become anchor and managing editor of the CBS Evening News and Gayle King is getting two new morning show co-hosts as CBS News seeks to boost the programs' ratings and put a tumultuous, scandal-scarred period behind it. In February, the YourNewsWire page on Facebook was at its peak popularity, boosted by its salacious post claiming that Justin Trudeau, the Canadian prime minister, was Fidel Castro's love child. Brian Ross, the veteran ABC News investigative correspondent who embarrassed the network late last year with an on-air report suggesting former National Security Adviser Michael Flynn had been told by President Donald Trump to make contact with Russian officials during the 2016 campaign for the Oval...

I love tech, innovation, AI etc. I worked with it for decades in Latin America, not in Silicon Valley with a positive ecosystem, investors etc. OK?;-) We Human Beings developed robots to serve us, not vice versa.

Key Questions Answered in this Report: • What is the estimated global artificial intelligence in agriculture market size in terms of value during the period 2018-2024? Global Artificial Intelligence (AI) in Agriculture Market Forecast, 2019-2024 The Global Artificial Intelligence (AI) in Agriculture Market Analysis projects the market to grow at a significant CAGR of 28.38% during the forecast period from 2019 to 2024. The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming, and rising development of autonomous equipment in agriculture. Artificial intelligence has emerged to be a strong driving force behind the growth of data-driven farming.Regions and countries where agriculture is the major source of livelihood and sustenance, the artificial intelligence technology has led to greater profitability in the farms of those economies. The reduction in expenditure and resultant positive RoI with AI's integration in farm equipment and operations has even reached above 30% in a few countries.

WalkMe, a CA-based digital adoption platform, secured $90 million in the funding round. Vitruvian Partners led the latest funding round while Insight Partners also noted their participation. Founded in 2011, CA-based, WalkMe offers a digital adoption platform. The platform is powered by Machine Learning, Artificial Intelligence, automation, and analytics capabilities. To date, the company has raised a total of $307.9

Chinese artist Ai Weiwei announced a new documentary at Art Basel Miami Beach, where he has several pieces on display, the Art Newspaper reports. With one film already in the works on animals and the environment, Ai sent a camera team to the Brazilian states of Rondônia, Mato Grosso, and Amazonas to capture footage of the ongoing fires in the Amazon Rainforest, along with another team which went to Pará to shoot cattle farms. This footage will be used for a separate documentary on the fires, as well as in next year's production of Turandot at the Teatro dell'Opera di Roma, which Ai is directing. Agribusiness and the deforestation of the Amazon are inextricably linked issues. Ai said in his announcement: "We can clearly see that the fires are a part of a wide-ranging and premeditated plan to cause deforestation to increase land use for agriculture and cattle farming."

We introduce a novel framework for analysing stationary time series based on optimal transport distances and spectral embeddings. First, we represent time series by their power spectral density (PSD), which summarises the signal energy spread across the Fourier spectrum. Second, we endow the space of PSDs with the Wasserstein distance, which capitalises its unique ability to preserve the geometric information of a set of distributions. These two steps enable us to define the Wasserstein-Fourier (WF) distance, which allows us to compare stationary time series even when they differ in sampling rate, length, magnitude and phase. We analyse the features of WF by blending the properties of the Wasserstein distance and those of the Fourier transform. The proposed WF distance is then used in three sets of key time series applications considering real-world datasets: (i) interpolation of time series leading to data augmentation, (ii) dimensionality reduction via non-linear PCA, and (iii) parametric and non-parametric classification tasks. Our conceptual and experimental findings validate the general concept of using divergences of distributions, especially the Wasserstein distance, to analyse time series through comparing their spectral representations.