Qualcomm Technologies, Inc. today announced three new additions to the Qualcomm Snapdragon 600 and 400 tiers - the Snapdragon 632, 439 and 429 Mobile Platforms. These platforms are engineered to bring higher performance, better battery life, more efficient designs, impressive graphics and artificial intelligence (AI) capabilities into the highest-selling Snapdragon tiers. Qualcomm debuts Snapdragon 429, 439 and 632 Mobile Platforms Qualcomm continues to bring more premium technology advancements to lower Snapdragon tiers, which is helping to transform the mass-market consumer experience. Snapdragon 632 The new Snapdragon 632 brings some of the most sought-after mobile experiences, including mainstream gaming, 4K video capture, artificial intelligence, and fast LTE speeds-all for an affordable price. Built on advanced FinFET process technology, the Snapdragon 632 boasts up to 40% higher performance thanks to the combination of the Qualcomm Kryo 250 CPU and Qualcomm Adreno 506 GPU.

We consider the problem of detecting norm violations in open multi-agent systems (MAS). We show how, using ideas from scrip systems, we can design mechanisms where the agents comprising the MAS are incentivised to monitor the actions of other agents for norm violations. The cost of providing the incentives is not borne by the MAS and does not come from fines charged for norm violations (fines may be impossible to levy in a system where agents are free to leave and rejoin again under a different identity). Instead, monitoring incentives come from (scrip) fees for accessing the services provided by the MAS. In some cases, perfect monitoring (and hence enforcement) can be achieved: no norms will be violated in equilibrium. In other cases, we show that, while it is impossible to achieve perfect enforcement, we can get arbitrarily close; we can make the probability of a norm violation in equilibrium arbitrarily small. We show using simulations that our theoretical results, which apply to systems with a large number of agents, hold for multi-agent systems with as few as 1000 agents--the system rapidly converges to the steady-state distribution of scrip tokens necessary to ensure monitoring and then remains close to the steady state.

Whether it is facial recognition tech that is (allegedly) able to pick a wanted criminal out of a crowd of thousands or aerial drones which use image recognition smarts to predict fights before they take place, there is no doubt that we are living through a major paradigm shift for automated surveillance technology. But this kind of tech can have more grounded, everyday applications, too -- like helping prevent shoplifters stealing goods from their local mom-and-pop corner store. That is something seemingly demonstrated by a new artificial intelligence security camera called the "A.I. Guardman," built by Japanese telecommunication company NTT East and startup Earth Eyes Corp. The camera uses a special pose detection system to identify behavior it deems to be suspicious.

Unlike the previous wireless networks – 3G, 4G, and LTE – that have all successfully launched and done their part in creating faster, more reliable cellular connections, 5G networks that wireless companies are trying their hardest to roll out to customers are having a bit more trouble. The radio access networks that 5G connections work off of rely on two emerging technologies that haven't worked out all the kinks yet. One of these technologies, referred to as millimeter waves, which are spectrums that broadcast at frequencies between 30 and 300 gigahertz, compared to the bands below 6 GHz that were used for mobile devices in the past. Their name comes from their size, which is much smaller (about 1-10 mm) than the current radio waves that cater to smartphones that measure tens of centimeters in length. The other new tech that 5G networks need to work to their potential is known as massive MIMO.

This paper discusses technology challenges and opportunities to embrace artificial intelligence (AI) era in the design of wireless networks. We aim to provide readers with motivation and general methodology for adoption of AI in the context of next-generation networks. First, we discuss the rise of network intelligence and then, we introduce a brief overview of AI with machine learning (ML) and their relationship to self-organization designs. Finally, we discuss design of intelligent agent and it's functions to enable knowledge-driven wireless networks with AI.

The Samsung Galaxy S10 is heavily rumored to arrive with an in-display fingerprint scanner. Now a new report from Korea claims that this could be true and that the Galaxy S10 won't have an iris scanner, but could come with an iPhone X-inspired feature. Samsung has not requested any of its suppliers to make iris scanners for the Galaxy S10, according to The Bell. The Korean news outlet claims that the upcoming Samsung flagship phone will have an in-display fingerprint scanner and 3D facial recognition technology, which will function a lot like Apple's Face ID on the iPhone X. Samsung is still lagging behind Apple when it comes to 3D facial recognition. The South Korean phone maker did introduce an Animoji competitor called AR Emoji on the Galaxy S9, as pointed out by The Verge. However, Apple already has an answer to AR Emoji called Memoji, which will arrive with the iOS 12 update later this fall.

Wireless carriers around the world are pushing to bring 5G service to their customers as quickly as possible, but the new radio access networks--which will rely on emerging technologies including millimeter waves and huge antenna arrays known as massive MIMO--will be a lot more complicated than what came before. Nokia is applying machine learning to some of the problems that result from this complexity, hoping that artificial intelligence can boost network performance and cut costs, Rajeev Agrawal said recently during a 5G summit at the Computex trade show in Taipei, Taiwan. Agrawal, who is in charge of Nokia's radio access network offerings, presented three possibilities for machine learning and 5G that Nokia has studied internally but not yet published in academic research papers. In a MIMO (multiple-input multiple-output) network, cellular base stations send and receive radio frequency signals in parallel through many more antennas than are normally used on a base station. This means the base station can transmit and receive more data, but these signals also interfere with one another.

Consider the following problem: given a database of records indexed by names (e.g., name of companies, restaurants, businesses, or universities) and a new name, determine whether the new name is in the database, and if so, which record it refers to. This problem is an instance of record linkage problem and is a challenging problem because people do not consistently use the official name, but use abbreviations, synonyms, different order of terms, different spelling of terms, short form of terms, and the name can contain typos or spacing issues. We provide a probabilistic model using relational logistic regression to find the probability of each record in the database being the desired record for a given query and find the best record(s) with respect to the probabilities. Building on term-matching and translational approaches for search, our model addresses many of the aforementioned challenges and provides good results when existing baselines fail. Using the probabilities outputted by the model, we can automate the search process for a portion of queries whose desired documents get a probability higher than a trust threshold. We evaluate our model on a large real-world dataset from a telecommunications company and compare it to several state-of-the-art baselines. The obtained results show that our model is a promising probabilistic model for record linkage for names. We also test if the knowledge learned by our model on one domain can be effectively transferred to a new domain. For this purpose, we test our model on an unseen test set from the business names of the secondString dataset. Promising results show that our model can be effectively applied to unseen datasets. Finally, we study the sensitivity of our model to the statistics of datasets.

Seattle-based Opanga Networks says it has found a way to minimize wireless network congestion and improve traffic flow by using machine learning algorithms in the network core. The company's software is being used today in 3G and 4G networks to make them more efficient without requiring more spectrum Basically, Opanga's software platform is deployed in the packet core. The software, which can run over existing hardware or new COTS hardware, uses machine learning to identify what Opanga calls "elephant flows." These are large users of capacity. According to Opanga CEO Dave Gibbons, about 3 percent of data sessions on a wireless network generate about 60 percent of traffic.

The Galaxy S9 may have been a modest evolution of its predecessor, but you might not get to level that accusation against the S10. Korean financial news outlet The Bell claims that the Galaxy S10 (codenamed "Beyond") will include an in-display fingerprint reader similar to devices like the Oppo Find X or Vivo Nex. You wouldn't have to lift up your phone and hunt for the reader on the back. It's reportedly "considering" an iPhone X-style face recognition system at the same time, so you might even have a choice of cutting-edge biometric sign-ins. This switch might lead to a casualty, however: the iris scanner could be going away.