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Digital Marketing Tips For Small Businesses 2015 - Booming

#artificialintelligence

Today, Businesses Have More Ways – And Places – Than Ever To Market Themselves.Your Local Digital Marketing Strategy Should Specifically Target And Appeal To Potential Customers In Your Geographic Area. Many Local Companies Have Used Some Form Of Digital Marketing Online Even If They Are Not Aware Of It.This Is An Important Local Digital Marketing Tip For Any Business. It's Also Important That You Get Your Local Seo Strategy Right So Your Business Scores A Consistently High Rank On Local Search Engine Results Pages.So Make Sure You Include Your Location Information In Keywords. NOTE: Local Digital Marketing Strategy You Choose For Your Local Business, It's Important To Track Your Progress And Find Out What Is Working And What Isn't.Remember Creating Content That Is Relevant To Your Business And Making It Searchable Is Key.


Deep Learning Research Review Week 1: Generative Adversarial Nets

@machinelearnbot

This week, I'll be doing a new series called Deep Learning Research Review. The way the authors combat this is by using multiple CNN models to sequentially generate images in increasing scales. The approach the authors take is training a GAN that is conditioned on text features created by a recurrent text encoder (won't go too much into this, but here's the paper for those interested). In order to create these versatile models, the authors train with three types of data: {real image, right text}, {fake image, right text}, and {real image, wrong text}.


Feature Engineering in IoT Age - How to deal with IoT data and create features for machine learning?

#artificialintelligence

Given the fast pace of change to connected devices and our perspective of data science, we think that data science professionals need to understand and explore feature engineering of IOT or sensor data. Prior to creation of features from IOT or sensor data, it is important to consider the level of aggregation (across time) of the continuous streaming data. In these cases, both atomic level and aggregated level are used for generating the features, but in most cases, the aggregated level features prove more productive. Once the window for aggregation has been arrived at, the next step involves aggregating the sensor data over these time windows to create a set of new variables / features from the atomic ones.


NASA Missions: AI Spacecraft Could One Day Run Missions Without Directions From Humans

International Business Times

Future space missions are going to reach the deepest part of the final frontier. Researchers currently conduct their work through the remotely controlled robotic spacecraft. But Chien and Wagstaff said autonomous craft are going to be key for future missions. Such autonomous systems are in the works for NASA's Mars rover scheduled for a 2020 launch.


Tech Metaphors Are Holding Back Brain Research

WIRED

If memory works the way most neuroscientists think it does--by altering the strength of connections between neurons--storing all that information would be way too energy-intensive, especially if memories are encoded in Shannon information, high fidelity signals encoded in binary. That assumption leads some scientists--mind-body dualists--to argue that we won't learn much by studying the physical brain. Over time, our memories are physically encoded in our brains in spidery networks of neurons--software building new hardware, in a way. That's because the street lamp infrastructure in the two halves of the city remain different, to this day--West Berlin street lamps use bright white mercury bulbs and East Berlin uses tea-stained sodium vapor bulbs.


[slides] Governance of IoT Data @ThingsExpo #AI #IoT #IIoT #M2M #BigData #SmartCities

#artificialintelligence

With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 21st Cloud Expo @ThingsExpo October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Modeling the way towards Artificial General Intelligence

#artificialintelligence

The potential for improvement to the system will be made realizable as a consequent of the Google researches making their work available on Tensor2Tensor library, allowing more researches to work and improve on the algorithim. Although the algorithim is not yet as powerful as DeepMind's work on networks that only have to perform individual tasks, this work could become a further step towards making artifical neural networks work like our own natural neural networks. Memory capability that allows human-like learning, linked with Google's MultiModel algorithim, will make it possible for future AI algorithims and systems to be trained on less training data. This pollination of intellectual work will allow strides to be made in more varied tasks, which will overall allow systems to be able to handle multiple tasks and multiple contexts, paving the way towards artifical general intelligence and eventually artifical superintelligence as these systems become more than just human-like.


The future of drone delivery depends on predicting the weather

Mashable

And it's becoming clear that delivery drones themselves will play an increasingly important role in collecting weather conditions on their journeys through the sky, relaying that information to computer weather models and perhaps back to fleets of drones following behind. Weather reports for drones will rely on multilayered systems of ground-based weather gauges, sensors on the drones themselves, and data from national weather services, all feeding computer models, said Marcus Johnson, a research aerospace engineer at the NASA Ames Research Center at Moffett Field, California. It just comes down to cost," said Tarleton, whose company makes the weather balloons the National Weather Service sets loose each day to compile the national forecast. SEE ALSO: The only company this activist investor isn't taking on is his dad's BNSF Railway Co.--the only company in the U.S. flying drones long distances, a project it's undertaken as part of an FAA study--has called back flights or kept them grounded because of the elements, said Todd Graetz, director of BNSF's drone program.



Helping or hacking? Engineers and ethicists must work together on brain-computer interface technology

Robohub

Just using an individual's brain activity – specifically, their P300 response – we could determine a subject's preferences for things like favorite coffee brand or favorite sports. The potential ability to determine individuals' preferences and personal information using their own brain signals has spawned a number of difficult but pressing questions: Should we be able to keep our neural signals private? Putting ethicists in labs alongside engineers – as we have done at the CSNE – is one way to ensure that privacy and security risks of neurotechnology, as well as other ethically important issues, are an active part of the research process instead of an afterthought. The goal should be that the ethical standards and the technology will mature together to ensure future BCI users are confident their privacy is being protected as they use these kinds of devices.