We are tracking the most impactful AI use cases here. This is meant to be a list that grows over time so feel free to contribute with your comments, this list is definitely not comprehensive now. And share the knowledge with your twitter followers: @AndrewYNg claims that "AI is the new electricity". We compiled 100 applications runnning on this new electricity. Marketing can be summarized as reaching the customer with the right offer, the right message, at the right time, through the right channel while constantly learning. Optimizing product, pricing & placement allows marketers to create an attractive value proposition to customers. Gesture Control: Gesture control enables higher levels of activity and engagement by allowing users another mode of interaction with your digital products. Quantify the gesture levels and other engagements in order to provide meaningful insights. Pricing Optimization: Also called dynamic pricing or demand pricing, pricing optimization allows companies to optimize markdowns. Optimal markdowns minimize cannibalization while maximizing revenues. One of the easiest transformations a business can achieve, dynamic prices directly impact the bottom line and can be rolled out in a matter of days. Optimize markdowns to minimize cannibalization while maximizing revenues. Identify which products are of significant importance for customers.

The House of Commons will vote next week on Theresa May's amended Brexit deal. Ahead of this, MPs are beginning to submit their own amendments. Among the proposals so far are those aimed at: preventing a no-deal Brexit; extending the Article 50 deadline if a deal isn't agreed by 26 February; looking at options including renegotiating with Brussels or holding another referendum. On Monday, the prime minister said she was focusing on altering the Irish backstop, and that she was scrapping proposals for a £65 fee for EU citizens to remain in the UK. But Labour's Jeremy Corbyn argued that Mrs May was in denial about the level of opposition to her plans.

Plans for a European base on the moon have taken a major step forward. The European Space Agency revealed it has signed up rocket maker ArianeGroup to develop plans for a moon base that could be used to mine material from the lunar surface. The project will'examine the possibility of going to the Moon before 2025 and starting to work there' - and could trigger a new space race as countries rush to harness lunar resources. The European Space Agency revealed it has signed up rocket maker ArianeGroup to develop plans for a moon base that could be used to mine material from the lunar surface. The project will'examine the possibility of going to the Moon before 2025 and starting to work there'.

Rapid identification of bacteria is essential to prevent the spread of infectious disease, help combat antimicrobial resistance, and improve patient outcomes. Raman optical spectroscopy promises to combine bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to the weak Raman signal from bacterial cells and the large number of bacterial species and phenotypes. By amassing the largest known dataset of bacterial Raman spectra, we are able to apply state-of-the-art deep learning approaches to identify 30 of the most common bacterial pathogens from noisy Raman spectra, achieving antibiotic treatment identification accuracies of 99.0$\pm$0.1%. This novel approach distinguishes between methicillin-resistant and -susceptible isolates of Staphylococcus aureus (MRSA and MSSA) as well as a pair of isogenic MRSA and MSSA that are genetically identical apart from deletion of the mecA resistance gene, indicating the potential for culture-free detection of antibiotic resistance. Results from initial clinical validation are promising: using just 10 bacterial spectra from each of 25 isolates, we achieve 99.0$\pm$1.9% species identification accuracy. Our combined Raman-deep learning system represents an important proof-of-concept for rapid, culture-free identification of bacterial isolates and antibiotic resistance and could be readily extended for diagnostics on blood, urine, and sputum.

Radial-basis-function networks are traditionally defined for sets of vector-based observations. In this short paper, we reformulate such networks so that they can be applied to adjacency-matrix representations of weighted, directed graphs that represent the relationships between object pairs. We re-state the sum-of-squares objective function so that it is purely dependent on entries from the adjacency matrix. From this objective function, we derive a gradient descent update for the network weights. We also derive a gradient update that simulates the repositioning of the radial basis prototypes and changes in the radial basis prototype parameters. An important property of our radial basis function networks is that they are guaranteed to yield the same responses as conventional radial-basis networks trained on a corresponding vector realization of the relationships encoded by the adjacency-matrix. Such a vector realization only needs to provably exist for this property to hold, which occurs whenever the relationships correspond to distances from some arbitrary metric applied to a latent set of vectors. We therefore completely avoid needing to actually construct vectorial realizations via multi-dimensional scaling, which ensures that the underlying relationships are totally preserved.

As a forerunner facing various social challenges, including addressing the aging population, as well as environmental and energy issues, Japan is poised to find solutions and share them with other countries that are also expected to be confronted with these complex problems. Through hosting the upcoming G20 summit in Osaka in June, the country will promote further cooperation among all relevant stakeholders, both government and non-governmental, toward a future society that realizes both economic growth and solutions for such issues. The annual meeting of the World Economic Forum (WEF) in Davos, Switzerland, will be a timely occasion for world leaders to address these growing challenges as the conference aims to delve into the topics to "shape a new framework for global cooperation," preparing for the arrival of "Globalization 4.0" driven by the "Fourth Industrial Revolution." Assuming the G20 presidency immediately after the Buenos Aires summit in December, Prime Minister Shinzo Abe stated Japan would seek to realize a "human-centered future society," promoting discussions in cross-cutting areas. "Japan is determined to lead global economic growth by promoting free trade and innovation, achieving both economic growth and reduction of disparities, and contributing to the development agenda and other global issues with the SDGs (United Nations Sustainable Development Goals) at its core," Abe said. "In addition, we will lead discussions on the supply of global commons for realizing global growth such as quality infrastructure and global health," he continued. "We will exert strong leadership in discussions aimed toward resolving global issues such as climate change and ocean plastic waste."

When temperatures drop, the expansion and contraction of water that seeps into cracks in asphalt can create giant tire-chompers. But these problem spots are too often the final result of damage that has been brewing for a while. "There are things you can do 5 or even 10 years before that happens to push the lifespan of a road," says Benjamin Schmidt, CTO of RoadBotics in Pittsburgh. RoadBotics is using state-of-the-art computer-vision techniques to help local governments better manage roads. The company's machine-learning algorithms process images of the road collected via smartphone.

The aim is clear: To help the community digitally record information to cut costs and increase yields -- with just a smartphone in their hands as AI leveraged Cloud computing to make sense of the data for farmers. India has now embarked on a journey to bring AI sensors into the fields. For Anant Maheshwari, the company's India President, Microsoft has begun empowering small-holder farmers in India to increase their income through higher crop yield and greater price control. "We are working with farmers, state governments, the Ministry of Electronics and Information Technology (MeitY) and the Ministry of Agriculture and Farmers Welfare to create an ecosystem for AI into farming," Maheshwari told IANS. In some villages in Telangana, Maharashtra and Madhya Pradesh, farmers are receiving automated voice calls that tell them whether their cotton crops are at risk of a pest attack, based on weather conditions and crop stage.

Facing this tsunami of transformation is a tall task, but the spirit of Davos is to synthesize the global noise--the voices, viewpoints and vision of the government leaders, academic experts, corporate executives and individuals who must collaborate on solutions for the future. Optimistically, writes Klaus Schwab, "a new framework for global public-private cooperation has been taking shape. Public-private cooperation is about harnessing the private sector and open markets to drive economic growth for the public good, with environmental sustainability and social inclusiveness always in mind."

AI-driven chatbots go rogue In 2019, cyber criminals and black hat hackers will create malicious chatbots on legitimate sites to socially engineer unknowing victims into clicking malicious links, downloading files containing malware, or sharing private information. There are myriad decisions that must be made when a company extends their use of AI. Implications exist for privacy regulation but there are also legal, ethical, and cultural implications that warrant the creation of a specialized role in 2019 with executive oversight of AI usage. In some cases, AI has demonstrated unfavorable behavior such as racial profiling, unfairly denying individuals loans, and incorrectly identifying basic information about users. CAOs and CDOs will need to supervise AI training to ensure AI decisions avoid harm.