The use of artificial intelligence (AI) in the form of artificial neural networks -- in particular, deep neural networks (DNNs) -- is poised to experience exponential growth in a wide variety of embedded systems, but who is going to define, create, and train these little scamps? Before we plunge into the fray with gusto and abandon, it's worth noting that many people think of DNNs only in the context of computer/machine/embedded vision applications. In reality, however, these little rascals are applicable to a wide variety of tasks (see Deep learning hits a sweet note). There are several steps involved in creating a DNN. The first is to define and implement the network architecture and topology.

Companies have another set of tools at their disposal to build chatbots. Salesforce CEO Marc Benioff has begun touting a new LiveMessage service that's aimed at connecting his company's Service Cloud with messaging services like Facebook Messenger and SMS. Benioff is pitching the new service as a way to turn messaging apps into a user interface for Salesforce, in addition to serving as a tool for connecting people with their friends. It will power bots, in addition to direct communications between service representatives and customers. Right now, LiveMessage works with SMS, and it will be expanded to work on Facebook Messenger later this year.

As Salesforce AI morphs from a stand-alone tool to a core element of operational systems, it has the potential to transform the role of traditional enterprise systems like CRM. Rather than serving as static automation systems and systems of record that deliver improved tracking and efficiency gains, new AI-driven systems like Einstein may drive greater marketing effectiveness and revenue growth for companies. It is not easy to hire data scientists who are in heavy demand today. Instead of hiring data scientists to develop models for custom apps, brands can rely on Salesforce AI and other vendors' software with native AI capabilities -- that is, artificial intelligence that is built into platforms. It can take at least several weeks to develop a model for third-party predictive analytics software, so this makes it that much easier to incorporate AI into marketing efforts, and do it in less time.

The Philosophy Club took a look at artificial intelligence and how sci-fi can be reality. Philosophy instructor Daniel Vecchio was the presenter for the Tuesday, Oct. 4 meeting which featured a lecture on machines and if they could be the future of our world. Vecchio explained to the audience of 15 different groups of people perceive as living things, he went on further to discuss how to tell a difference between a living human and a computer. "Passing the Turing test, […], you watch a conversation going on, on a computer screen, one is a human, and the other is an artificial intelligence. "If the observer can't determine which is the human and which is the AI in a reliable manner, it doesn't pass the test and has no mind," he said. The test was created by Alan Turing to figure out machine intelligence. Faculty in attendance made a comparison to the Terminator franchise and how AIs can eventually take over should the human race not be careful. Another comparison was made to Star Trek where the characters were trying to figure out if a machine had a soul and should be treated with human rights or not. Students also were interested in the topic of AIs. Luis Guzman, history and journalism major, said,"The presentation was interesting.

Companies like IBM, Microsoft, Apple, Google, Facebook and Amazon are actively leveraging A.I. as part of their technology stacks. However, in order to dominate the market, these vendors will need to monetize A.I. at a large scale. Who can win the early race to monetize A.I.? The battle in the artificial intelligence (A.I.) market has been heating up. IBM, Microsoft, Amazon, Apple, Facebook, and Google are all continuously releasing impressive technologies in the space that are capturing the minds of developers and customers. From a market perspective, A.I. is positioned to become a pillar of the next generation of software technologies.

Last week at RoboBusiness, I was fortunate to hear James Kuffner, CTO of Toyota's Research Institute (TRI), present his vision of a million connected robots. If this premise sounds scary, I'm sorry. Halloween is just around the corner. Seriously, it is worth digging into in greater detail. According to Kuffner, connectivity speeds are as important to cloud robotics as the growth of processing speeds or Moore's Law.

This week – augmenting human senses, stealing AI, Google tries to harness cloud robotics, Samsung gets its own Siri and we get a closer look on a farming robot. Plus – what is life and what is synthetic biology, designer babies and the future of human reproduction and a mask that allows you to smell virtual worlds. Biohacking may open us a way to sense the world in a completely and different way. And there are people who are working on projects aimed at augmenting our senses in a new and creative way. A Device For The Deaf That Lets You "Listen" With Your Skin It's called Versatile Extra-Sensory Transducer, or VEST in short, and it works by picking up sound either from surrounding or from a smartphone, and then translates them into movement of 32 tiny motors that vibrate on your back.

A month back, I participated in a Kaggle competition called TFI. I started with my first submission at 50th percentile. Having worked relentlessly on feature engineering for more than 2 weeks, I managed to reach 20th percentile. To my surprise, right after tuning the parameters of the machine learning algorithm I was using, I was able to breach top 10th percentile. This is how important tuning these machine learning algorithms are.

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We keep hearing about advances in artificial intelligence and the coming apocalypse as foreseen in the Terminator movies. But not all AI is created equal, and some will be squarely focused on doing one task really well. In the case of the /laundroid1, terrible name aside, that task is folding your laundry. Everyone hates folding their laundry, but it's a mandatory task if you don't want clean clothes that require a hot iron to get the creases out. If there was a machine that could do the folding for you, though?