Salesforce unveiled a number of new products and services at its annual event on Wednesday in San Francisco. The company is looking to increase its clout in the burgeoning Artificial Intelligence and Internet of Things segments. Salesforce is also integrating its operations by consolidating several of its core components under one umbrella. The most prominent offering at the conference was its AI platform called Einstein. The company dubbed the platform as "artificial intelligence for everyone."

A.I. is being incorporated in so many things, and we have seen how A.I. and chatbots will change startups. For those who claim their products are "A.I.-powered," though, I must ask: Are they actually using A.I.? What are A.I. chatbots? Will Viv use A.I. to book my flight tickets? In my previous post, I tried to have a chat session with a few chatbots to see how they respond to random, unrelated questions. Artificial intelligence does not just mean a computer that can think like humans and learn things naturally. Artificial intelligence means a program with abilities to solve problems on its own.

The AI Post is the premier business and professional publication that chronicles and analyzes the advancement of artificial intelligence technology and its impact on economy, society, and state(s). With an eye on advancing the technology while helping government shape responsible policies, protecting economic interests of people and businesses, consumer welfare, and safety of biological lifeforms, the publication takes the dual position of: maximizing and accelerating the adoption of the artificial intelligence technology while minimizing the associated social, economic, and political costs. Our mission is: To advance artificial intelligence safely and responsibly. The AI Post is written for concerned and serious scholars, business people, government officials, attorneys, executives, and others who are interested in having a serious debate about artificial intelligence and its diffusion. Far removed from the hype-ridden Silicon Valley culture or the overly abysmal technology-is-bad crowd, we want to provide a space where intellectual debate and examination of new technologies is possible in a more pragmatic and applied sense.

Several machine learning based investment models are already deployed and functioning. Some of them focus on technical analysis and apply investment models based upon daily fluctuations in the market. Having the ability to observe patterns, provide quick feedback, and adjust course, these algorithms take positions, and exit from positions, while accumulating trading profits and simultaneously learning from each transaction. Then there are other models that are based upon the fundamentals of the stock. The one that I found of great interest is the one developed by SignalFire.

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Humans may live longer and longer, but eventually we all grow old and die. This leads to a simple question: Is there an intrinsic maximum limit to human lifespan or not? There are two equally simple answers. Either there is a limit or there isn't. Soft pretzels are one of the best things to come out of concession stands, but homemade pretzels are a million times better.

Googles engineers recently delivered a Google Translate upgrade that harnesses the popular artificial intelligence technique known as deep learning. Google has launched a Google Translate upgrade utilizing enhanced deep-learning techniques to produce more accurate translations. The neural machine translation system considers the entire sentence as one unit to be translated. The system relies on a recurrent neural network algorithm consisting of layered nodes, and a network of eight layers acts as the encoder and transforms the input into a list of vectors representing all possible meanings of each word. The second eight-layer network acts as the decoder and generates the translation one word at a time. Meanwhile, an attention network connects the encoder and decoder by directing the decoder to refer back to certain weighted vectors.

ARTIFICIAL INTELLIGENCE CAN do remarkable things, like recognize faces on social networks, instantly translate speech from one language to another, and identify commands barked into a smartphone. But it also can do stupid things, like label an African-American couple "gorillas." The artificial intelligence underpinning Google Photos did just that last year. The platform uses deep neural networks to identify images in your photo collection. These networks of hardware and software, modeled after the network of neurons in your brain, learn to recognize objects, animals, and faces by analyzing many millions of pre-labeled photos.

The Nobel Prize in Chemistry this morning went to Jean-Pierre Sauvage, J. Fraser Stoddart and Bernard L. Feringa for breakthroughs in designing molecular machines. Their insights on building tiny motors -- 1,000 times thinner than a strand of hair -- have led to molecular robots that can pluck out and connect individual amino acids. They can also be used for drug delivery. And there's more to come: The Nobel committee said the molecular motor is about as advanced at this stage as the electric motor was in the 1830s, "when researchers proudly displayed various spinning cranks and wheels in their laboratories without having any idea that they would lead to electric trains, washing machines, fans, and food processors." The miniscule machinery honored today will likely be used in the future to build an array of sensors, energy storage systems, and even new material.