SAN DIEGO – A 25-year-old U.S. citizen has been charged with using a drone to smuggle more than 13 pounds of methamphetamine from Mexico, an unusually large seizure for what is still a novel technique for bringing illegal drugs into the United States, authorities said Friday. Jorge Edwin Rivera told authorities that he used drones to smuggle drugs five or six times since March, typically delivering them to an accomplice at a nearby gas station in San Diego, according to a statement of probable cause. He said he was to be paid $1,000 for the attempt that ended in his arrest. Border Patrol agents in San Diego allegedly saw the drone in flight on Aug. 8 and tracked it to Rivera about 2,000 yards from the Mexico border. Authorities say agents found Rivera with the methamphetamine in a lunch box and a 2-foot drone hidden in a nearby bush.

From his perch as editor in chief, he watched as the nascent internet took off, fulfilling his prediction that the world was about to be swept by a digital "Bengali typhoon." Among other things, that epochal storm spawned a dotcom wave that was cresting in 1998. Now, two decades later, Rossetto has written a novel that captures the optimism, greed, fervor, and madness of that era. Set in a fictional San Francisco, Change Is Good: A Story of the Heroic Era of the Internet, follows the intertwined adventures of a startup CEO, a WIRED reporter, a code-writing true believer, and many more instantly iconic characters ripped from the mists of the first dotcom boom. What follows is a chapter from Rossetto's novel, which takes place during a wild party thrown by the fictional WIRED magazine. Carl Hess stands in the line flowing into a looming warehouse off Third Street in the Mission Bay wasteland that was once the old Union Pacific yards.

SAN DIEGO – A 25-year-old U.S. citizen has been charged with using a drone to smuggle more than 13 pounds (6.1 kilograms) of methamphetamine from Mexico by drone, an unusually large seizure for what is still a novel technique to bring illegal drugs into the United States, authorities said Friday. Jorge Edwin Rivera told authorities that he used drones to smuggle drugs five or six times since March, typically delivering them to an accomplice at a nearby gas station in San Diego, according to a statement of probable cause. He said he was to be paid $1,000 for the attempt that ended in his arrest. The U.S. Drug Enforcement Administration said in a recent annual report that drones are not often used to smuggle drugs from Mexico because they can only carry small loads, though it said they may become more common. In 2015, two people pleaded guilty to dropping 28 pounds (62 kilograms) of heroin from a drone in the border town of Calexico, California.

The U.S. Drug Enforcement Administration said in a recent annual report that drones are not often used to smuggle drugs from Mexico because they can only carry small loads, though it said they may become more common. In 2015, two people pleaded guilty to dropping 28 pounds (62 kilograms) of heroin from a drone in the border town of Calexico, California. That same year, Border Patrol agents in San Luis, Arizona, spotted a drone dropping bundles with 30 pounds (66 kilograms) of marijuana.

SANTA CLARA, Calif., and JERUSALEM, Aug. 8, 2017 -- Intel Corporation (NASDAQ: INTC) and Mobileye N.V. (NYSE: MBLY) today announced the completion of Intel's tender offer for outstanding ordinary shares of Mobileye, a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver assistance systems and autonomous driving. The acquisition is expected to accelerate innovation for the automotive industry and positions Intel as a leading technology provider in the fast-growing market for highly and fully autonomous vehicles. The combination of Intel and Mobileye will allow Mobileye's leading computer vision expertise (the "eyes") to complement Intel's high-performance computing and connectivity expertise (the "brains") to create automated driving solutions from cloud to car. Intel estimates the vehicle systems, data and services market opportunity to be up to $70 billion by 2030. "With Mobileye, Intel emerges as a leader in creating the technology foundation that the automotive industry needs for an autonomous future," said Intel CEO Brian Krzanich.

Abstract argumentation offers an appealing way of representing and evaluating arguments and counterarguments. This approach can be enhanced by considering probability assignments on arguments, allowing for a quantitative treatment of formal argumentation. In this paper, we regard the assignment as denoting the degree of belief that an agent has in an argument being acceptable. While there are various interpretations of this, an example is how it could be applied to a deductive argument. Here, the degree of belief that an agent has in an argument being acceptable is a combination of the degree to which it believes the premises, the claim, and the derivation of the claim from the premises. We consider constraints on these probability assignments, inspired by crisp notions from classical abstract argumentation frameworks and discuss the issue of probabilistic reasoning with abstract argumentation frameworks. Moreover, we consider the scenario when assessments on the probabilities of a subset of the arguments are given and the probabilities of the remaining arguments have to be derived, taking both the topology of the argumentation framework and principles of probabilistic reasoning into account. We generalise this scenario by also considering inconsistent assessments, i.e., assessments that contradict the topology of the argumentation framework. Building on approaches to inconsistency measurement, we present a general framework to measure the amount of conflict of these assessments and provide a method for inconsistency-tolerant reasoning.

Statista reports that the size of chatbot market is was 113 million USD in 2015 and projected to be 994.5 million USD in 2024 McKinsey reports that in 2015 30% of all customer care interactions took place through chat, social media, and email; this is projected to rise to 48% in 2020. While chatbot use and investment are booming, they have a long way to go. Currently, the most popular chatbot platform is Facebook messenger, which has over 100,000 chatbots embedded into the messenger. Recently, Facebook launched its own chatbot using its developer kit called "Assistant M;" however, it has a 70% failure rate. This is ultimately because of lacking technological advancements within Artificial Intelligence.

Latent space models are effective tools for statistical modeling and exploration of network data. These models can effectively model real world network characteristics such as degree heterogeneity, transitivity, homophily, etc. Due to their close connection to generalized linear models, it is also natural to incorporate covariate information in them. The current paper presents two universal fitting algorithms for networks with edge covariates: one based on nuclear norm penalization and the other based on projected gradient descent. Both algorithms are motivated by maximizing likelihood for a special class of inner-product models while working simultaneously for a wide range of different latent space models, such as distance models, which allow latent vectors to affect edge formation in flexible ways. These fitting methods, especially the one based on projected gradient descent, are fast and scalable to large networks. We obtain their rates of convergence for both inner-product models and beyond. The effectiveness of the modeling approach and fitting algorithms is demonstrated on five real world network datasets for different statistical tasks, including community detection with and without edge covariates, and network assisted learning.

Anca Dragan UC Berkeley Ensuring that robots and humans work and play well together. Angela Schoellig University of Toronto Her algorithms are helping self-driving and self-flying vehicles get around more safely. Jianxiong Xiao AutoX His company AutoX aims to make self-driving cars more accessible. Greg Brockman OpenAI Trying to make sure that AI benefits humanity. Joshua Browder DoNotPay Using chatbots to help people avoid legal fees.

The response to Musk's comments about the need for Artificial Intelligence (AI) regulation by experts in has been almost like a knee-jerk reaction. The reaction has been prevalently along the lines of not being able to identify areas that require regulation. I suspect that most AI researchers have not really made a serious effort with regards to the big picture. I am deliberately avoid discussing here the "Why?" of AI regulation. Rather I will discuss the questions of "What?" and "How?".