Theory of Optimal Learning Machines


Matteo Marsili from The Abdus Salam International Centre for Theoretical Physics with lecture titleTheory of Optimal Learning Machines is now publicy available.

Einstein's favourite childhood toy is set to fetch up to £46,000 at auction

Daily Mail - Science & tech

Albert Einstein's favourite childhood toy that he cherished all his life will go up for sale next month for £46,000 ($60,000). The German game, titled'Perlen Mosaik Spiel' (Mosaic Pearl Game), consists of 520 coloured beads that can be inserted into a punch-hole frame to create patterns. The game shows some general signs of wear and tear, including minor chipping to the title label and'intriguing' pencil markings inside the box, which may represent his first autograph. The board game would have been cherished by the young and gifted physicist, who went on to win the 1921 Nobel Prize in Physics. Seller Bonhams New York describes the set as'a rare and joyous Einstein artefact of museum quality' and'an essential learning tool for the young genius'.

Honda to reorganize development operations in bid to increase efficiency

The Japan Times

Honda Motor Co. said Tuesday it will reorganize its vehicle development operations on April 1 in a bid to boost efficiency. The automaker will take over vehicle development functions from its Honda R&D Co. unit and absorb another unit engaged in development of machine tools and others. The move is part of Honda's efforts to streamline operations related to each process, from planning to sales. The company also said it has established Honda Mobility Solutions Co., a new company in charge of planning and operation of cutting-edge businesses such as those related to autonomous driving and robotics.

3 Ways Brands Use Big Data & Machine Learning -


How do brands use Big Data & Machine Learning throughout the customer experience to improve their performance? We outline 3 ways to get started using data. Analysing the data that your business generates is vital to ensuring that you stay ahead in an increasingly competitive landscape. Businesses who adopt data-driven marketing are six times more likely to be profitable year-over-year, and they are more likely to have an advantage over competition (ADS, 2018). Today, data-driven marketing is either embedded or strategic for 78% of marketers and 64% of marketing executives are in strong agreement that data-driven marketing is crucial to success in a hyper-competitive global economy (CMO, 2016).

The Future of Ubersuggest


Do you know why I got into SEO? Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents. When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day. I didn't mind it because that's life and I needed the money. At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.

Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine: Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier: 9781788393485: Books


Alexis Perrier is a data science consultant with a background in signal processing and stochastic algorithms. A former Parisian, Alexis is now actively involved in the D.C. data science community as an instructor, blogger, and presenter. Alexis is also an avid jazz and classical music fan, a book lover and proud owner of a real chalk blackboard on which he regularly tries to share his fascination with mathematical equations with his 3 children. He holds a Master in Mathematics from Université Pierre et Marie Curie Paris VI, a Ph.D. in Signal Processing from Telecom ParisTech and currently resides in Washington D.C. Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research was focused on machine learning applications in the study of the urban sound environments.

Using Machine Learning Techniques for Fraud Detection: Machine prediction or Anomaly detection or Behavioral analytics Saksoft


Every now and then, there is a fraudulent activity masquerading as the original – no exception to the business world. And if fraud detection is about dealing with smokes and mirrors with barely any room for errors, then Machine learning and AI have grown into reckoned technology forces giving enterprises the hope of clearing the smoke and smashing the mirror. Given the most complex of a situation – to decide whether it is a fraud being perpetrated or an original one being conducted– and the need to combat even the most-modern fraud tricks, organizations across Banking, Fintech, Insurance, Retail and other industries are using machine learning techniques for fraud detection to unearth subtle fraud patterns, detect anomalies as well as suspicious behaviors, and prevent fraud. In using machine learning techniques for fraud detection, what sets the prerogative for using machine prediction or anomaly detection or behavioral analytics? Now, when we are entrusted with this fraud detection and prevention task, data would be the first stop to frame the solution strategy.

Engineering Clean Wars?


In recent years, the rise of robotics and cyber technologies in warfare has given rise to a new variety of ethical questions. In the realm of military technology, these new developments are often defended as a path to more'human' wars, including more effective combat, more durable defence, more rapid conflict resolution and less human victims. Automated fighting appears then as an effective way to achieve these goals. The removal of human fighters from the battlefield--the vision offered by fully robotic warfare--would be the most direct way to reduce casualties. However, the use of robotics and automatized war also pose very serious ethical questions.

How pharma industry can take advantage of cognitive chatbot


In today's business era, AI chatbots are redefining the way pharma companies interact and engage with their clients. These chatbots mimic human conversation via text or auditory means which is a huge opportunity for the pharma industry to have a one-to-one conversation with their customers, doctors, and patients. Apart from that, by using intelligent virtual assistants, pharmaceutical companies can build a strong relationship with doctors and patients by communicating with them and assisting them directly. The two main areas within this industry that will drastically benefit from developing a pharma chatbot are R&D and marketing. By developing a chatbot, a pharma company can have a virtual digital assistant to provide information to users on various topics, such as how to respond to inquiries on certain health conditions, a complex drug procedure, and the appropriate method of using a certain medical device.

Urban Stories #8: The Creative Algorithm


As part of art-meets-tech collective Telemagic, Roos Groothuizen created the project'Concert in A.I.', a series of concerts where self-learning musical algorithm'AlgoRhythmics' is the host, conductor, instrument and musician. Arran Lyon was involved in the project as one of the coders. With the concerts, they search for new insights in music, creation, space and visual design. How do they look at the end result? Andreas Refsgaard is an artist and creative coder based in Copenhagen who uses algorithms and machine learning to make unconventional connections between inputs and outputs.