Services


Tinder finally ditches controversial scoring system it used to create matches based on desirability

Daily Mail

Tinder will no longer rely on a controversial method of sorting users based on an internal'desirability' score, according to a recent announcement from the company. Instead, the popular dating app's new algorithm will prioritize its patrons based on one overarching factor: volume of usage. The hidden ranking system that Tinder previously relied on assigned scores to users based on how many people have liked their profile. Tinder will no longer rely on a controversial method of sorting users based on an internal'desirability' score, according to a recent announcement from the company. According to the company, Tinder has matched 30 billion users around the world.


SAS to invest $1 billion in AI for industry uses, education, R&D

ZDNet

SAS in recent years "hasn't been as visible as it could have been," said Schabenberger. But the company has been making pivots to software as a service, connecting its platform to other analytics tools and targeting industries better. SAS has been focused on "how our offering can bring analytics to areas undiscovered," he added SAS has also been focused on targeting a wide range of companies beyond large enterprises and making its offering more consumable. The company is entering a results as a service model where customers come with business problems and SAS can help solve them with its expertise in analytics, machine learning and data science. Most of the company's customers are on-premises, but migrating to cloud workloads at different paces, said Schabenberger.


Make your dumb bulbs and devices smarter with these killer TP-Link deals

PCWorld

If you don't have hundreds of dollars to spend on new bulbs, hubs, and thermostats, you can still make your home a whole lot smarter. And today's a great time to start: B&H Photo is selling the TP-Link HS300 smart Wi-Fi power strip for $55Remove non-product link when applying the 31 percent coupon on the listing,, along with a three-pack of TP-Link's HS200 smart Wi-Fi switches for $57Remove non-product link, nearly 50 percent off its list price of $105. The smart Wi-Fi power strip allows you to plug in up to six devices at once, and control them individually with their individual switches or by using the connected app. There are also three handy USB ports for charging up extra devices. Using TP-Link's Kasa app, you can set schedules and turn devices on and off remotely, as well as monitor energy usage.


Best Google Home add-ons and accessories

PCWorld

Your message has been sent. There was an error emailing this page. Welcome to the Google Home shadow market, a symbiotic ecosystem of third-party products that add a bit more versatility to the Google Home Mini and original Google Home smart speaker. Some grant true portability to Google's otherwise-tethered speakers. Others help you place the speakers in a more convenient position.


Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation

arXiv.org Artificial Intelligence

Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years. Most previous interactive recommendation systems only focus on optimizing recommendation accuracy while overlooking other important aspects of recommendation quality, such as the diversity of recommendation results. In this paper, we propose a novel recommendation model, named \underline{D}iversity-promoting \underline{D}eep \underline{R}einforcement \underline{L}earning (D$^2$RL), which encourages the diversity of recommendation results in interaction recommendations. More specifically, we adopt a Determinantal Point Process (DPP) model to generate diverse, while relevant item recommendations. A personalized DPP kernel matrix is maintained for each user, which is constructed from two parts: a fixed similarity matrix capturing item-item similarity, and the relevance of items dynamically learnt through an actor-critic reinforcement learning framework. We performed extensive offline experiments as well as simulated online experiments with real world datasets to demonstrate the effectiveness of the proposed model.


The most important AI projects from Google AndroidPIT

#artificialintelligence

Success at games helps develop more powerful AI that can be used directly in more practical applications in the real world. DeepMind's AI agents also assist in medical research, are involved in diagnosis of diseases and the organization of patient records. With regard to the latter, DeepMind has taken some heat for data protection issues related to patients during its work with the UK's National Health Service. After being criticized for this, the company has emphasized its commitment to ethical and socially beneficial uses of AI, founding the DeepMind Ethics & Society group dedicated to directing the use of AI in a socially responsible manner. DeepMind has also contributed to subtle conveniences on your smartphone.


3 Top Artificial Intelligence Stocks to Watch in March -- The Motley Fool

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The artificial intelligence market is often cited as the next frontier for many tech companies, since AI algorithms can quickly crunch large amounts of data to automate decisions. However, AI is frequently tossed around as a buzzword, which makes it tough for investors to identify the top investments in the market. Today, a trio of our Motley Fool contributors will highlight three companies that have established firm footholds in the nascent AI market: Baidu (NASDAQ:BIDU), NVIDIA (NASDAQ:NVDA), and AMD (NASDAQ:AMD). Leo Sun (Baidu): Chinese tech giant Baidu, which owns the country's largest search engine, is also one of the world's biggest players in artificial intelligence. Like its overseas counterpart Alphabet's Google, Baidu accumulated large amounts of data through its search engine, mapping platform, mobile app, and cloud services.


Andrew Ng's AI Transformation Playbook shares key lessons Internet of Business

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Co-founder of Google Brain and former Chief Scientist at Baidu, Andrew Ng, has unveiled an AI Transformation Playbook. The guide to successfully adopting AI in enterprise draws on insights gained from leading AI teams at Google and Baidu. Andrew Ng claims that, "it is possible for any enterprise to follow this Playbook and become a strong AI company." However, it is primarily intended for larger enterprises with a market cap/valuation from $500 million to $500 billion. The AI Transformation Playbook is distributed freely on the Landing AI website.


Artificial Intelligence and Search Engine Trend

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Search engines understand very broad and generic information. This is why many of these search engine providers keep updating their search systems with different algorithms. For example Google search understands queries like movies, geography, images etc. This is not what a user wants. Users want to get more information and today's Google search engine cannot provide such information.


Is Google's New Lingvo Framework a Big Deal for Machine Translation? Slator

#artificialintelligence

Researchers in neural machine translation (NMT) and natural language processing (NLP) may want to keep an eye on a new framework from Google. Lingvo is specifically tailored toward sequence models and NLP, which includes speech recognition, language understanding, MT, and speech translation. The Google AI team claims there are already "dozens" of research papers in these areas based on Lingvo. In fact, they said this was one reason they decided to open-source the project: to support the research community and encourage reproducible results. Lingvo supports multiple neural network architectures -- from recurrent neural nets to Transformer models -- and comes with lots of documentation on common implementations across different tasks (i.e., NLP, NMT, speech synthesis).