Rotterdam.AI organizes quarterly gatherings for Artificial Intelligence practitioners focusing on lessons learned from applying AI. Discover: 15 min applied AI talks of industry peers sharing insights and actionable advice based on hands-on experiences applying AI. Check out our applied AI talks below! Share: AI Clinic session for practitioners in the audience to share their specific challenge applying AI and gather initial feedback from industry peers and fellow practitioners. Connect: Peer-to-Peer networking sessions on Machine Learning, Natural Language Processing and Computer Vision to connect with new and leading practitioners in your technology realm.

A Japanese company has developed artificial intelligence technology that can be easily linked to security cameras to identify suspicious human behaviour. Japanese Fujitsu's technology can analyse video footage and very accurately recognise about 100 types of behaviour, such as walking, running, and carrying an object. It can judge actions to be suspicious based on certain sequences of motions. Fujitsu says surveillance cameras equipped with the technology can spot someone shoplifting at retailers. It adds that the technology can also contribute to marketing analysis by showing what products customers have taken from shelves, according to Japan's broadcaster (NHK World). Fujitsu says the technology can examine actions, yet cannot identify people.

We invite applications for a Tenure Track Assistant Teaching Professor position in Machine Learning. We interpret this area broadly and invite candidates who can provide students with strong foundations in machine learning, deep learning, neural networks, and/or visual computation. We are especially interested in candidates who will flourish in a Cognitive Science Department, and whose research, teaching, or service has prepared them to contribute to our commitment to diversity, inclusion, and equity within an academic setting. Joint appointment with other departments can be considered where appropriate. The Assistant Teaching Professor is also known within the UC as an LPSOE (Lecturer with Potential for Security of Employment).

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast volume of data took many organizations' focus away from ETL to data lakes. Too many people disparaged ETL as a tool of the past. However, as IT has always been aware, data lakes aren't a solution all to themselves and rebranding to ELT doesn't change the fact that there are now far more sources and targets than there ever were. Data movement is still a complex problem and metadata management (MDM), and it's a problem becoming even more challenging as regulatory requirements for privacy mean data must be better tracked and controlled.

A code of practice should govern when police forces deploy facial recognition technology, the information commissioner has said. It comes after South Wales Police was found to have acted lawfully when a shopper complained his human rights were breached when he was photographed. An investigation by commissioner Elizabeth Denham has raised "serious concerns" over use of the technology. Ms Denham called on the government to introduce a statutory code of practice. Ed Bridges had brought a legal challenge after he was photographed shopping in Cardiff in 2017, and the following year at a peaceful protest against the arms trade.

The next few years are going to be lively ones for the datacenter, with more than half of new infrastructure being deployed in edge locations, half of core enterprise datacenters and two-thirds of the major edge IT sites leveraging artificial intelligence (AI) and machine learning (ML), more than half of datacenter infrastructure running "as-a-service" solutions, and a steadily growing number of companies relying on colocation partners. Those were a few of the predictions offered by the industry watchers at IDC last week with the release the analyst firm's first annual "Futurescape" forecast focused on the datacenter. Emphasizing trends emerging in 2020, the report was presented in part during a webcast led by some of its authors. "At the core of all of our predictions is the reality that technology is very rapidly moving from the back office to the front office," said Jennifer Cooke, research director of IDC's Cloud to Edge Datacenter Trends and Strategies research team. "And a lot of this is about the boundaries between an organization's internal operations and external ecosystem of customers, partners and markets. These boundaries are just disappearing."

An artificial intelligence has debated with humans about the the dangers of AI – narrowly convincing audience members that AI will do more good than harm. Project Debater, a robot developed by IBM, debated on both sides of the argument, with two human team mates for each side helping it out. Speaking in a female American voice to a crowd at the University of Cambridge Union on Thursday evening, the AI gave each side's opening statements, using arguments drawn from more than 1100 human submissions ahead of time. On the proposition side, arguing that AI will bring more harm than good, Project Debater's opening remarks were darkly ironic. "AI can cause a lot of harm," it said.

Thanx, a leading provider of digital guest engagement and retention tools for retailers and restaurants, today announced an enhanced offering for intelligently identifying and winning back valued guests with a high risk of churn. Thanx Personalized Winback uses an advanced ensemble-based Machine Learning algorithm to predict the churn likelihood of an individual guest based on nearly 40 data points, including spend and visit frequency compared to past behavior, recent and historic customer satisfaction, average check, LTV, likelihood of reacquisition and more. Once identifying the right at-risk guests, Thanx Personalized Winback automatically encourages those guests to return with personalized incentives. This press release features multimedia. Based on this cutting-edge Machine Learning capability, Thanx predicts an individual's likelihood of churn faster and with a higher degree of accuracy than traditional retention programs.

Great Learning's Machine Learning course in Chennai offers a certificate from Great Lakes and helps working professionals to become proficient in …