IMAGE: Figure 1 shows three kinds of patterns, "I ", "C ", and "T ", expressed in 3x3 blocks used for the associative memory operation experiment. Researchers at Tohoku University have, for the first time, successfully demonstrated the basic operation of spintronics-based artificial intelligence. Artificial intelligence, which emulates the information processing function of the brain that can quickly execute complex and complicated tasks such as image recognition and weather prediction, has attracted growing attention and has already been partly put to practical use. The currently-used artificial intelligence works on the conventional framework of semiconductor-based integrated circuit technology. However, this lacks the compactness and low-power feature of the human brain.

I believe it was Sartre who wisely said hell is conversational AI. Despite the best intentions of engineers, today's machine learning really is the savior and handicap of personal assistants. Berkeley-based startup Semantic Machines might suffer the same Achilles' heel, but its team of 18 artificial intelligence PhDs thinks it can get farther than the current state-of-the-art establishment. To understand what Semantic Machines is trying to build, you have to think about what existing personal assistants lack. Behind relatable names and repetitive humor, Siri, Google Assistant, Cortana and Alexa all essentially work the same way -- they recognize and parse speech, classify intent and then execute commands.

BlackBerry's track record for mobile security and leadership in automotive software makes moving into autonomous driving research a natural fit, the company's chief executive John Chen said Monday at the opening of a new research centre in Kanata, Ont. "Autonomous vehicles require software that is extremely sophisticated and highly secure," Chen said. "Our innovation track record in mobile security and our demonstrated leadership in automotive software make us ideally suited to dominate the market for embedded intelligence in the cars of the future." Prime Minister Justin Trudeau attended the launch of the Autonomous Vehicle Innovation Centre (AVIC) by the Waterloo, Ont.-based smartphone pioneer. "With the opening of its innovation centre in Ottawa, BlackBerry is helping to establish our country as the global leader in software and security for connected car and autonomous vehicle development," Trudeau said.

AWS (Amazon Web Services) introduced a handful of new artificial intelligence (AI) services at its re:Invent conference last week. Among the new products are Polly, a more lifelike text-to-speech service, Rekognition, an image analysis and face recognition service that can be added to applications and Lex, a standalone version of the technology that powers the company's Alexa AI assistant. "Amazon AI services are fully managed services so there are no deep learning algorithms to build, no machine learning models to train, and no up-front commitments or infrastructure investments required," the company said in a statement. "This frees developers to focus on defining and building an entirely new generation of apps that can see, hear, speak, understand, and interact with the world around them." So far, few developers have been able to build, deploy, and broadly scale apps with AI capabilities due to the vast amount of data and specialized expertise in machine learning and neural networks required, Amazon said.

Otsimo provides free games for autistic children to help improve attention spans using machine learning and gamification. Autistic spectrum disorders, or ASDs, impose huge costs, both human and economic, on sufferers, their families, and the community. The human toll, in terms of care and impaired relationships, is almost impossible to quantify. Looking at the US alone, the economic expenditure last year was estimated at about $268bn. The exact causes of the pathology are still unknown, and there is no medical solution except for early and intensive education, which can at least reduce the symptoms.

Val is powered by Kasisto's KAI Banking bot and "delivers insights into spending, savings, borrowing and helps people set goals as well as offer updates and encouragement about their progress". Varo's target market is millennials, says the vendor, and this segment is "hands on" with their money. "Val's insights are always personal, relevant, timely and actionable," Kasisto states. The bot provides "human-like conversations". "Varo is bringing together this intelligent bot with deposit account, debit card, savings and lending in a single intuitive app. So in addition to insights, Val will also help answer FAQs, provide banking and app support, and assist performing transactions."

The Jeopardy Challenge helped us address requirements that led to the design of the DeepQA architecture and the implementation of Watson. After 3 years of intense research and development by a core team of about 20 researcherss, Watson is performing at human expert levels in terms of precision, confidence, and speed at the Jeopardy quiz show. Our results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating, and advancing a wide range of algorithmic techniques to rapidly advance the field of QA. The architecture and methodology developed as part of this project has highlighted the need to take a systems-level approach to research in QA, and we believe this applies to research in the broader field of AI. We have developed many different algorithms for addressing different kinds of problems in QA and plan to publish many of them in more detail in the future.

First of all, more labeled data sets to learn from. Training a machine learning program can lead to better results if you improve the algorithms being used, but often just throwing more data at it will help it improve its accuracy greatly. In the internet and big data age, an enormous amount of data is being collected every day, from the tweets you send, to the pictures you publish, or the articles you're shopping online. Your own picture tagging helps figure out that a cat is indeed present in a picture, or what a given customer might buy next, considering it bought X and Y before, mimicking the behavior of other shoppers online. Big quality data sets, with labels and outcomes, help improving the learning ability of your neural networks.

Last week, we learned about Random Forest Algorithm. Now we know it helps us reduce a model's variance by building models on resampled data and thereby increases its generalization capability.

You ask your smartphone virtual assistant to make an appointment for you. You receive a message alert from your bank enquiring if you made a certain transaction. You receive recommendations for music or movies or online purchases based on your past behaviour. These are all examples of Artificial Intelligence (AI) entering your daily life. There is no widely accepted definition of the term or what constitutes AI. Definitions are usually based on some variation of computerized systems or computers exhibiting behaviour or thought that is normally demonstrated by humans or requires intelligence (which itself is hard to define). It could involve rationally solving complex problems or taking appropriate actions to achieve objectives in real world circumstances.