Deep neural networks have evolved to be the state-of-the-art technique for machine learning tasks ranging from computer vision and speech recognition to natural language processing. However, deep learning algorithms are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources. To address this limitation, deep compression significantly reduces the computation and storage required by neural networks. For example, for a convolutional neural network with fully connected layers, such as Alexnet and VGGnet, it can reduce the model size by 35x-49x. Even for fully convolutional neural networks such as GoogleNet and SqueezeNet, deep compression can still reduce the model size by 10x.

Users are looking for more than the humble SMS text message to communicate with friends and family. Our communication requirements now demand group messaging capabilities with the ability to seamlessly share an image or video on the move. Apple's iMessage, WhatsApp and Facebook's Messenger are leading the way, but the recent release of Google Allo suggests that messaging has become the new tech battleground. Our love affair with mobile apps is changing because we have so many, often over 50, yet on average we only actually use five of them on a regular basis. Searching for an app that is hidden in a folder of apps on page 3 of our phones is no longer deemed productive in an age of instant gratification.

Google is doubling down in Canada's artificial intelligence scene. The search giant said Monday that it's creating a new AI research group in its Montreal office and will invest $4.5 million over three years in the Montreal Institute for Learning Algorithms, an AI research lab part of the University of Montreal. Google's goog new Montreal AI research outpost will be part of Google's Brain team, the search giant's company wide-AI research group headquartered in Mountain View, wrote Google Montreal head of engineering Shibl Mourad in a blog post. Google hired Hugo Larochelle, who was recently a top research scientist at Twitter twtr, to lead the new Montreal unit. Part of Google's investment will involve funding renowned AI expert Yoshua Bengio's research projects as head of the Montreal Institute for Learning Algorithms.

Artificial Intelligence (AI) can help us in many ways: it can perform hard, dangerous or boring work for us, can help us to save lives and cope with disasters, can entertain us and make our daily life more comfortable. Advances in AI are occurring at high speed. The potential risks and problems of AI technology are filling newspapers (e.g. However, rather than being a threat to our existence or plotting to take over the rule of the world, AI is already changing our daily lives, almost entirely in ways that improve human health, safety, and productivity. In the coming years we can expect AI systems to be used increasingly in domains such as transportation, service robots, healthcare, education, low-resource communities, public safety and security, employment and workplace, and entertainment (100 Year AI report).

As the presence of artificial intelligence continues to grow in the world, industry leaders and scholars are starting to explore the ethics surrounding the science. As the presence of artificial intelligence continues to grow in the world, industry leaders and scholars are starting to explore the ethics surrounding the science. In 1941, science-fiction writer Isaac Asimov stated "The Three Laws of Robotics," in his short story "Runaround." Law One: A robot may not injure a human being or, through inaction, allow a human being to come to harm. Law Two: A robot must obey orders given it by human beings except where such orders would conflict with the First Law.

Farming is, by far, the most mature industry mankind has created. Dating back to the dawn of civilization, farming has been refined, adjusted and adapted -- but never perfected. We, as a society, always worry over the future of farming. Today, we even apply terms usually reserved for the tech sector -- digital, IoT, AI and so on. So why are we worrying? The Economist, in its Q2 Technology Quarterly issue, proclaims agriculture will soon need to become more manufacturing-like in order to feed the world's growing population.

The power behind self-driving cars, real-time facial recognition, and intelligent robots is called machine learning,a subfield of artificial intelligence (AI).The first formal definition of AI came from Arthur Samuel in 1959: "A field of study that gives computers the ability to learn without being explicitly programmed."They've Currently, machine learning not only enablescomputers to park our cars and win at Jeopardy, it also allows them to beat humans at chess and Go, and to learn for itself how to play new games without any instruction.Although these are all very flashy applications of this technology, the business applicability has so far been limited. Nevertheless, understanding how machine learning algorithms work can be very useful in a business context. This can also lead to potential applications in sales, marketing, finance, and HR that can drive better decisions and give you a competitive edge.

Google has invested a total of $4.5 million CAD ($3.4M US) in AI research in Montreal's Institute for Learning Algorithms, with an academic fund covering three years that will help pay for seven faculty members across various Montreal academic institutions, including the University of Montreal and McGill. The investment is also continued backing for deep learning expert Yoshua Bengio's work, and is part of Google's continued bet on Canada's strong expertise in machine learning and AI research, both of which are becoming increasingly important to its core business. To that end, along with the investment, Google is also opening a brand new deep learning and AI research group in Montreal at its existing office in the city. The new team will be a remote arm of its Google Brain team based in Mountain View, and will be led locally by Hugo Larochelle, a deep learning expert who's returning home to Montreal from a role with Twitter in Boston specifically for the new position. Google notes that its total investment in academic research in Canada to date now amounts to around $13 million Canadian over the past 10 years, and it hopes that the new investment will help with the ongoing formation of an AI supercluster in Montreal, which is becoming a hotbed for AI startups as well as academic research.

We're 30 years removed from the final episodes of the original Knight Rider, the hit series in which David Hasselhoff was aided in his crime fighting by automotive artificial intelligence assistant, KITT. But that doesn't mean that we're not still clinging on for the perfect in-car AI system -- and thanks to new Kickstarter Dashbot, we may not be waiting too much longer. Heck, it even has the quasi-retro interface working in its favor! Dashbot is a smart AI assistant, designed to be 100 percent voice-controlled so drivers keep their hands on the wheel and, just as importantly, their eyes on the road. Connecting to your smartphone via Bluetooth, it promises to be the on-the-road smart assistant we have been hankering after.

David Cheng is an investment manager at DCM Ventures where he focuses on opportunities in the consumer internet, mobile applications and SaaS space. In living organisms, evolution is a multi-generational process where mutations in genes are dropped and added. Well-adapted organisms survive and those less fortunate go extinct. Resilience is great, but if you don't grow gills in time for the flood, then tough luck. Engineering, on the other hand, is a deliberate process with reliable steps designed to reach a stated objective.