Autonauts review – sim robots share the load of colonisation

The Guardian

You'll know that Autonauts has taken over your thinking when you first reach for a real pen and paper while playing. For the many genres this intriguing game capably spans, interacting with it is really about keeping up with a spiralling to-do list. And at some point that list will exceed the capacity of your brain and spill over on to the closest paper to hand. To lose yourself to Autonauts is to find notes like "reprogram plank-sorting robots!" scrawled on the backs of envelopes scattered around your computer. Autonauts is a game about colonising new worlds; landing alone on an unspoiled planet, your task is to build a thriving civilisation.

StradVision, ushering in the era of the fully autonomous vehicle - PetaCrunch


StradVision has raised $16.6M in total. We talked with Junhwan Kim, its CEO. How would you describe StradVision in a single tweet? StradVision is a pioneer in deep learning-based vision processing technology, providing the software that will allow Advanced Driver-Assistance Aystems (ADAS) in autonomous vehicles to reach the next level of safety, and usher in the era of the fully autonomous vehicle. How did it all start and why?

Online evaluation of machine learning models - O'Reilly Artificial Intelligence Conference in London 2019


Academic machine learning involves almost exclusively offline evaluation of machine learning models. In the real world this is, somewhat surprisingly, often only good enough for a rough cut that eliminates the real dogs. For production work, online evaluation is often the only option to determine which of several final-round candidates might be chosen for further use. As Einstein is rumored to have said, theory and practice are the same, in theory. So it is with models.

Looking into Natural Language Processing (NLP)


Natural language processing (NLP) is a branch of artificial intelligence. It helps computers understand, interpret and manipulate human text language. Today there are an enormous amount of emails, social media text, video stream, customer reviews, customer support requests, etc. All of these textual data become the perfect place to apply NLP. We need NLP tools and techniques to process, analyze, and understand unstructured "big data" in order to release the power in analytics.

Tata Consultancy Services


For many organizations, automating hundreds or thousands of manual tasks has become a competitive necessity. However the same attributes that make automation so effective also open up organizations to new risks. The reason: Because AI enables a company to remotely manage machines and make them interact with other machines, bad actors could take control of the technology and wreak havoc. Consider the common threats to a computer network: malignant software such as viruses and phishing emails for tricking people into revealing valuable information. If a worker clicks on a malware link and damages his computer on the network, the virus can spread to others.

Ken Goldberg on Twitter


Can a machine create art? Artificial intelligence is one thing, but is artificial creativity possible? Is it an exaggeration or real possibility?

When Accuracy is Academic and Data Deceives


The rise of artificial intelligence has brought with it a strange paradox: Although AI itself is grounded in data and logic, business users can be tempted to throw rationality out the window when dealing with AI models. After all, AI algorithms have been imbued with nearly magical properties, capable of telling a business how to identify risky customers, predict customer behavior, structure the perfect incentive program to reduce customer churn, and just generally provide elegant, unbiased answers to a business's most vexing questions. If only we could put our trust in what we wish were pure, scientifically derived AI models. Alas, it is more complicated than that. In this article, I will describe two of the major pitfalls associated with artificial intelligence models, discuss why it can be so difficult to avoid these pitfalls, and offer some ideas on how to move past them to make AI more useful and profitable.

Batch Norm Patent Granted To Google: Is AI Ownership The Gold Rush Of 21st Century?


The machine learning community has witnessed a surge in releases of frameworks, libraries and software. Tech pioneers like Google, Amazon, Microsoft and others have insisted their intention behind open-sourcing their technology. However, there has been a growing trend of these tech giants claiming ownership for their innovations. According to the National Bureau of Economic Research study, in 2010, there were 145 US patent filings that mentioned machine learning, compared to 594 in 2016. Google, especially, has filed patents related to machine learning and neural networks 99 times in 2016 alone.

TUGU Insurance launches AI-enabled app for agents and policyholders


Indonesian insurance provider TUGU Insurance has launched the "tdrive" mobile app to deliver a seamless brand experience to its agents and customers. Developed by Singapore-based insurtech company Zensung, the app leverages artificial intelligence and Internet of Things to prevent and reduce fraudulent claims. The app is currently available for TUGU Insurance's auto insurance products, but plans to expand it to other verticals such as travel, medical and home insurance are in the pipeline. While enabling agents and policyholders to buy insurance and submit their claims digitally, the app also aims to help them understand potential risks. According to a press release, tdrive includes functions to promote safe driving and drivers safety as well as carbon footprint awareness for drivers and organisations.