Human Inspired Memory Patterns in Deep Learning

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Deep Learning) has hit a plateau. Researchers are beginning to realize that it is insufficient to solely rely on mathematical methods. Rather there is new motivation to focus again on the only known proof of general intelligence that exists. Researchers are again now studying how the human brain works to gain inspiration for how an Artificial General Intelligence (AGI) may be constructed. These fields have rarely been able to produce demonstrable models of cognition.


The Eighty Five Percent Rule for optimal learning

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When we learn something new, like a language or musical instrument, we often seek challenges at the edge of our competence--not so hard that we are discouraged, but not so easy that we get bored. This simple intuition, that there is a sweet spot of difficulty, a'Goldilocks zone'1, for motivation and learning is at the heart of modern teaching methods2 and is thought to account for differences in infant attention between more and less learnable stimuli1. In the animal learning literature it is the intuition behind shaping3 and fading4, whereby complex tasks are taught by steadily increasing the difficulty of a training task. It is also observable in the nearly universal'levels' feature in video games, in which the player is encouraged, or even forced, to a higher level of difficulty once a performance criterion has been achieved. Similarly in machine learning, steadily increasing the difficulty of training has proven useful for teaching large scale neural networks in a variety of tasks5,6, where it is known as'Curriculum Learning'7 and'Self-Paced Learning'8.


[Interview] This Vancouver-based Startup Plans To Boost Drug Design With AI

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Variational AI is a newly formed artificial intelligence (AI)-driven molecule discovery & drug design startup out of Vancouver, British Columbia, Canada. The company has developed Enki, an AI-powered small molecule discovery service. The founders of Variational AI are planning to build on top of their state-of-the-art expertise in machine learning, reflected in more than 40 research publications, including those presented at NIPS/NeurIPS, ICML, ICLR, CVPR, ICCV, and other top events in the area of artificial intelligence research. The organizing principle of Variational AI is that the exponentially growing cost of drug discovery can only be halted if the pharmaceutical industry shifts the paradigm by which it searches the space of molecules. Variational AI has developed a machine learning algorithm that organizes the full space of 1060 drug-like molecules based upon their pharmacological properties rather than their chemical structure, enabling state-of-the-art QSAR and transformative multi-property inverse QSAR/QSPR.


Blaize Emerges from Stealth to Transform AI Computing

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El DORADO HILLS, CA -- November 12, 2019 -- BlaizeTM today emerged from stealth and unveiled a groundbreaking next-generation computing architecture that precisely meets the demands and complexity of new computational workloads found in artificial intelligence (AI) applications. Driven by advances in energy efficiency, flexibility, and usability, Blaize products enable a range of existing and new AI use cases in the automotive, smart vision, and enterprise computing segments, where the company is engaged with early access customers. These AI systems markets are projected to grow rapidly* as the disrupting influence of AI transforms entire industries and AI functionality becomes a "must-have" requirement for new products. "Blaize was founded on a vision of a better way to compute the workloads of the future by rethinking the fundamental software and processor architecture," says Dinakar Munagala, Co-founder and CEO, Blaize. "We see demand from customers across markets for new computing solutions that address the immediate unmet needs for technology built for the emerging age of AI, and solutions that overcome the limitations of power, complexity and cost of legacy computing."


Automation in 2019: Friend or Foe?

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Perhaps it was 1984's blockbuster movie, The Terminator, that ignited man's fear of robots taking over the world. Or perhaps that fear is rooted in an instinctive paranoia that faces a future of unfamiliar territory with caution. Whatever the reason, technophobia is alive and well, and it affects many of the ways in which we feel about and integrate technology into our daily lives. Not all of these fears are based in unfounded skepticism, however. In fact, it is not dramatic upheaval that most fear, but rather that their jobs will be lost to automated robots that may very well be quicker and more efficient at performing them.


Artificial Intelligence sales platform, Enerjoy, Launches its series A fundraising round at an event held in SAP Next Gen HQ in NYC

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The disruptive sales startup presented its solution to local investors, after it has gained successful track record working with leading clients in Europe and South America. Enerjoy, an artificial intelligence platform that uses personalized gamification to increase sales teams' motivation and performance, announced the launch of its series A fundraising round, as part of a remarkable event held by Strtupboost and SAP Next Gen at the latter's headquarters in New York city. Enerjoy's scientifically based solution was proven to increase sales reps performance by an average of 25%, catering leading clients as banks, insurance, travel and telecom companies in Europe and South America. Gabby Hasson, Managing Partner at Bseed who's mother company Besadno VC invested in enerjoy last June says; "as a venture capital firm that sees hundreds of startups each year, we always look for smart technologies that can make a real impact on different industries while presenting significant scale potential. Besadno joins enerjoy's former investors' list: Nielsen Innovate, Samurai-Incubate and Israeli Innovation Authority. Enerjoy takes pride in its customers as Orange telecom and Tatra Bank in Slovakia, Coca Cola in Israel, Fattal hotel reservation centers and other media, insurance and technology companies in different countries. The company developed a personal motivational profile algorithm based on research it has conducted with its organizational and behavioural scientists, along with other studies such as Harvard motivational model. Their conclusions were then translated into an artificial intelligence platform that uses gamification to motivate each rep individually. The platform increases each reps' sales rates and responds to changes in real time. In addition, it serves as a support tool for the teams' manager, sending relevant notifications about reps progress. Viki Glam, enerjoy's CEO and Co-Founder noted: "We have spent a lot of time and resources to validate our motivational algorithm and to prove it can bring results to serious clients in different industries and different cultures.


9 Big Takeaways from one Digital Procurement Event. - Kodiak Rating

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It's a big call, and I will happily admit that I've had some people snicker at this statement. "You're grandstanding!" they say, "That's unbelievable!" And whilst it may feel like a dramatic statement, I stand by it. If anything, I consider it to be an understatement when you assess the reality of exponential and combinatorial technological change. When AI (artificial intelligence) meets HI (human intelligence), business, as usual, is dead.


AI ready to disrupt the property market

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Though Artificial Intelligence (AI) is a hot topic for businesses right now, it has so far failed to shake up the real estate industry and the use of property software in the same way it has transformed sectors such as banking and healthcare. Tom Shrive explains how the sector is ripe for AI disruption, and why this burgeoning tech will not jeopardise jobs. AI is an inescapable buzzword at the moment and has become an essential part of the technology industry. However, the emergence of Artificial Intelligence (AI) has not come without controversy, provoking polarized responses from the general public. By definition, artificial intelligence is technology that can perform human-like tasks.


14 incredible things Artificial Intelligence can do right now

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As of now, most are aware that Artificial Intelligence (AI) is rapidly becoming a present part of our daily lives. However, a lot of us would be rather surprised to learn of some of the tasks that AI already knows how to undertake. Here are 14 incredible things that AI can do right now. Be it news articles, books, weblinks and more, SummarizeBot can make automatic text summarizations using AI and machine learning that not just reads communications but also report back the most essential information. As of now, SummarizeBot can be used in Facebook Messenger or Slack and it makes use of natural language processing, machine learning, artificial intelligence, and blockchain technologies.


KMI - KMi Festival - The future of knowledge, learning and media

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Conceived in 2013 by Prof. Zdenek Zdrahal, OUAnalyse is a joint collaborative project between the Knowledge Media Institute (KMi), the Institute of Educational Technology (IET) and Data and Student Analytics (DSA). The resulting product of this fruitful collaborative research and development effort is a learning analytics tool, currently available to all undergraduate modules at the OU! Based on trained Machine Learning models, this tool automatically identifies students at risk of failure within the institution. Not only the research behind this tool demonstrates its association with enhanced student performance, but an earlier deployment of this tool at the Czech Technical University has demonstrated its profound impact in terms of increasing retention. The number of failing students in this institution has dropped down by 49% since the 2015/16 academic year, generating an economic saving of more than 1M pounds. The results of OUAnalyse are currently being extended at two other UK universities as part of the the Institute of Coding.