With little room left to widen roads to reduce congestion, Broward County is turning to artificial intelligence to shorten commuter drive times. The county is building a network of cameras and sensors on its roads that will quickly adjust signals to reduce delays as changing traffic patterns are detected. That data repository will analyze what's happening on the roads to help planners determine where turn-lane changes or other road projects could improve traffic flow. She wears an all white suit made of plastic and has big glowing eyes. She's four feet tall and has an iPad in her chest.

SINGAPORE - Students fresh out of secondary school will from April next year be able to take up a full-time diploma programme in applied artificial intelligence (AI) and analytics at Singapore Polytechnic (SP). The polytechnic, which will take up to 80 students in the first batch, will be the first of the five polys here to offer such a programme. Currently, such courses are offered as specialist diploma programmes, which are for existing diploma or degree holders - usually adult learners - to deepen their knowledge and skills. The new diploma course was launched on Friday (Oct 18) during the inaugural SP AI Symposium held at the Concorde Hotel, where there was a showcase of AI-related projects done by students and industry partners. Students enrolled in the programme will learn to apply AI and big data to solve current challenges across industries such as finance, information technology and commerce.

FILE - In this June 4, 1942 file photo provided by the U.S. Navy shows the USS Yorktown listing heavily to port after being struck by Japanese bombers and torpedo planes in the Battle of Midway. Researchers scouring the world's oceans for sunken World War II ships are honing in on debris fields deep in the Pacific.(AP MIDWAY ATOLL, Northwestern Hawaiian Islands (AP) -- Deep-sea explorers scouring the world's oceans for sunken World War II ships are focusing on debris fields deep in the Pacific, in an area where one of the most decisive battles of the time took place. Hundreds of miles off Midway Atoll, nearly halfway between the United States and Japan, a research vessel is launching underwater robots miles into the abyss to look for warships from the famed Battle of Midway. Weeks of grid searches around the Northwestern Hawaiian Islands have already led the crew of the Petrel to one sunken warship, the Japanese ship the Kaga.

Many companies rush to operationalize AI models that are neither understood nor auditable in the race to build predictive models as quickly as possible with open source tools that many users don't fully understand. In my data science organization, we use two techniques -- blockchain and explainable latent features -- that dramatically improve the explainability of the AI models we build. In 2018 I produced a patent application (16/128,359 USA) around using blockchain to ensure that all of the decisions made about a machine learning model, a fundamental component of many AI solutions, are recorded and auditable. My patent describes how to codify analytic and machine learning model development using blockchain technology to associate a chain of entities, work tasks and requirements with a model, including testing and validation checks. The blockchain substantiate a trail of decision-making.

GE Healthcare officially launched the Edison AI platform in Shanghai, China at its Digital Ecosystem Forum event. GE also signed a Memorandum of Understanding (MoU) of strategic partnership with five local software development companies: Shukun Technology, Yizhun Medical AI, YITU Technology, 12Sigma Technologies and Biomind. Under the MoU, GE will cooperate with the five software vendors to develop the platform's applications in China. GE Healthcare's Edison platform was first introduced at last year's Radiological Society of North America annual meeting in Chicago in November. The platform is touted as a way to help hospitals derive more value from their technology.

The turbulence of Brexit has left both UK and European startups alike wondering about the best path forward. From recruiting to acquiring investment to scaling into other parts of Europe, the challenges seem to be mounting. By December, who knows what will have happened on the Brexit landscape, such is the chaos. At Disrupt Berlin in December, we'll hear from investor Bindi Karia who has deep European ties, founder Glenn Shoosmith who's expanding his startup internationally and German-born but UK-domiciled VC Volker Hirsch on how to make the right decisions in the face of these obstacles. Bindi Karia works as a venture partner at a large london-based VC and has held positions in and around the tech industry for as long as she's been working.

Artificial intelligence (AI) is one of the most exciting technologies in the world right now. In particular, it's bringing life to ideas that were once just a figment of Hollywood films. However, it has also created polarised viewpoints. Many AI experts are working towards reaping its full potential, while others worry about creating a Black Mirror-esque reality. Perhaps the best way to meet in the middle is by exploring explainable AI.

Foreign Lush customers in Japan can now shop without language barriers as the brand launches the first language-free concept store in Shinjuku district. By using AI technology, the UK cosmetics retailer helps its customers enjoy their retail experience without words as they use digital functions, including interactive walls and app-controlled lighting, to locate and choose their favourite products. "Shinjuku represents the ultimate version of what we want from a shop. Importantly, it was the first time our tech warriors and brand and shop design teams collaborated to create a retail space in a digital age," said Adam Goswell, tech R&D manager at Lush. Besides being its first language-free concept store, Lush Shinjuku is also its largest store in Asia, spreading over four floors with its signature fragrant goods.

When a data scientist/machine learning engineer develops a machine learning model using Scikit-Learn, TensorFlow, Keras, PyTorch etc, the ultimate goal is to make it available in production. Often times when working on a machine learning project, we focus a lot on Exploratory Data Analysis(EDA), Feature Engineering, tweaking with hyper-parameters etc. But we tend to forget our main goal, which is to extract real value from the model predictions. Deployment of machine learning models or putting models into production means making your models available to the end users or systems. However, there is complexity in the deployment of machine learning models.

Consumer-focused personal robots have a spotty history. In 2017, Jibo was touted as the world's first social robot for the home but it ended up flopping soon after. Bosch took a stab a creating a rolling robot named Kuri in 2018 and months later the product was a dud. Now another company is taking a stab at it, launching a new yet familiar spin on personal service machines. Rather than keeping you company at home, gita (pronounced Jee-Tah) wants to help you go hands-free while you walk down the street, to the grocery store or to visit your neighbors.