Personal Assistant Systems
Intelligent connectivity: The fusion of 5G, AI, and IoT
GSMA Director General Mats Granryd outlines 5G's brisk growth since the beginning of 2018, and shares his excitement about how the combination of intelligent connectivity will create smarter applications that make life better and safer. I ntelligent connectivity enables transformational capabilities in transport, entertainment, industry, and much more. For technical systems to digitally match human actions with connected environments, however, they must meet the speed of our natural reaction times. They will also rely on cost-effective edge infrastructure to enable scaling. According to GSMA, 5G could account for as many as 1.4 billion connections by 2025.
Revolution of Artificial Intelligence in E-commerce 2019 โ Infographic
When you talk about Artificial Intelligence there are many changes that has been grown and implemented over different platforms and specially over eCommerce platform. The technology has been attracting everyone to get more innovative into the online market. Artificial Intelligence in eCommerce is revolutionizing by shaping the world of online shopping experience by creating new standards. It is been done to understand the customer by fulfilling their better experience and satisfying expectations through this new eCommerce artificial intelligence techniques. Below you will find now new opportunities to implement on your online business. Embed this infographic on your site The growth of Artificial Intelligence is currently rising very speedily and this is what creates new eCommerce world to take steps toward future with new technologies.
SAIN: Self-Attentive Integration Network for Recommendation
Yun, Seoungjun, Kim, Raehyun, Ko, Miyoung, Kang, Jaewoo
With the growing importance of personalized recommendation, numerous recommendation models have been proposed recently. Among them, Matrix Factorization (MF) based models are the most widely used in the recommendation field due to their high performance. However, MF based models suffer from cold start problems where user-item interactions are sparse. To deal with this problem, content based recommendation models which use the auxiliary attributes of users and items have been proposed. Since these models use auxiliary attributes, they are effective in cold start settings. However, most of the proposed models are either unable to capture complex feature interactions or not properly designed to combine user-item feedback information with content information. In this paper, we propose Self-Attentive Integration Network (SAIN) which is a model that effectively combines user-item feedback information and auxiliary information for recommendation task. In SAIN, a self-attention mechanism is used in the feature-level interaction layer to effectively consider interactions between multiple features, while the information integration layer adaptively combines content and feedback information. The experimental results on two public datasets show that our model outperforms the state-of-the-art models by 2.13%
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Zhang, Jiani, Shi, Xingjian, Zhao, Shenglin, King, Irwin
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-GCN) architecture to learn node representations for boosting the performance in recommender systems, especially in the cold start scenario. STAR-GCN employs a stack of GCN encoder-decoders combined with intermediate supervision to improve the final prediction performance. Unlike the graph convolutional matrix completion model with one-hot encoding node inputs, our STAR-GCN learns low-dimensional user and item latent factors as the input to restrain the model space complexity. Moreover, our STAR-GCN can produce node embeddings for new nodes by reconstructing masked input node embeddings, which essentially tackles the cold start problem. Furthermore, we discover a label leakage issue when training GCN-based models for link prediction tasks and propose a training strategy to avoid the issue. Empirical results on multiple rating prediction benchmarks demonstrate our model achieves state-of-the-art performance in four out of five real-world datasets and significant improvements in predicting ratings in the cold start scenario. The code implementation is available in https://github.com/jennyzhang0215/STAR-GCN.
AI and the data production landscape
It's never easy to predict the future, and the speakers of Data Science Salon New York have somewhat divergent views on how we might expect ML and AI to be applied to the field of Media and Entertainment in the next five to ten years. But there's one clear area of agreement: "We're going to continue to see the implementation (and improvement) of personalized recommendation algorithms that are based on person-level data." said Lauren Lombardo, Senior Data Scientist at Nielsen. "It will vastly improve the overall relevance of the content and advertisements served across premium video, and make content exploration much simpler and more enjoyable," suggests Chris Whitely, Senior Director, Applied Analytics at Comcast. But the recommendation engines of tomorrow will be even more robust. "We've barely scratched the surface of utilizing recommendation engines for generating new content," said Josh Miller, Director of Data Analytics at Samba.tv.
Better than Prime Day - time's running out to get the best Echo Dot deal ever
When the Amazon Prime Day deals roll into town in July, it's a no-brainer that the Amazon Echo Dot will get a big discount like it does every year. The thing is, it'll be nowhere near as good as this one - and it ends at 9am tomorrow. This is a UK-only deal, but we've rounded up the latest top deals in the US over on our Memorial Day sales page. UK readers, be sure to check out the Bank Holiday sales this weekend too. We're expecting Prime Day to bring the Echo Dot down to ยฃ29.99 as per usual, or ยฃ24.99 at the very best if Google aggressively price cuts the Google Home Mini as the search giant can't help but wind Amazon up any chance it gets with its line of rival smart speakers.
Let's not allow artificial intelligence to reinforce very real stereotypes
Playing with my Lego, as a child, I would build human-like figures. I would create a whole cast of goodies and baddies, who would invariably end up fighting. The goodies always spoke with a North American drawl, while the baddies spoke English with heavy foreign accents. The very few female characters in my games were either shrieking, hyper-feminine princesses who needed saving, or near-voiceless helpers who looked after the base and cared for the wounded heroes. My bedroom carpet was a showground for the stereotypes of the day.
Five greatest advantages of artificial intelligence AndroidPIT
The future of car traffic is self-propelled or at least much more automated than before. Keeping an eye on the many variables and possible situations requires exactly the qualities that a well-designed AI system brings with it. In this way, traffic runs more smoothly and, above all, more safely for all concerned. This is not even about your own vehicle. In China, for example, artificial intelligence is used to dynamically and automatically control traffic light circuits so that ambulances, police or fire brigades can arrive at the scene more quickly and provide assistance.
The sexism of AI reflects the reality of the tech industry
Just ask the creators of Alexa or Siri and they will confirm how important their dulcet tones are. Imagine the strain of having Amitabh Bachchan rasp out the weather report in the morning and answering sundry other queries throughout the day. For those still sceptical about the significance of a soothing timbre, there are the findings of a recent Unesco report that examines the implications of the charming feminine voice that almost all virtual assistants have been blessed with. The report noted that technology companies justify the use of obliging female voices by citing surveys that show that this is what consumers of both sexes prefer. What is seldom mentioned is that the same surveys show that people like the sound of a male voice when authoritative statements are being made and a female voice when help is being offered.
Spain A Rising Star In The Startup Scene
As a world class tourist destination, Spain is considered to have it all; from a rich vibrant culture, world heritage sights, and a culinary scene fit for any foodie, Spain has something for everyone. On the tech front, Spain is a rising star as its startup scene is becoming the country's most flourishing sector. However, let us rewind approximately 10 years to the global financial crisis that took the world by storm. Spain was heavily hit by the 2008 global financial crisis, when the housing market crashed, leaving half-finished projects scattered from the suburbs of Madrid to the shores of the Mediterranean coastline. The sense of revival in Spain is clearer than the waters off Barcelona's coastline.