One day neural networks could help marketers with their online campaigns. Google's DeepMind is a tantalising glimpse of that future. It can not only recognise and analyse images in a video but in one publicised example, discovered cats. Yes, through its deep learning algorithms, without human guidance, it figured that YouTube is the home of cat videos. It identified 10 million of them (no doubt including my all-time favourite: keyboard cat).

Financial firms were the early adopters of the mainframe computer, relational databases, and have eagerly awaited the next level of computational power. Inorganics Intelligence helps Fintech companies in solving human problems, by increasing efficiency. Artificial Intelligence (AI) improves results by applying methods derived from aspects of Human Intelligence at a beyond human scale. Technologies like Machine Learning, Artificial Intelligence (AI), Neural Networks, Big Data Analytics, evolutionary algorithms, and much more have allowed computers to crunch huge varied, diverse and deep datasets than ever before. In early ages of Banking, bankers used to have personal connections to their customers to help them assist well for their decisions.

Facebook is applying computer vision and artificial intelligence (AI) technology that it developed for visually impaired people to its image search function. Using its Lumos computer vision platform, Facebook will now enhance your image search results by actually "looking" at images and understanding the content within, reports TechCrunch. As Facebook explains on its developer blog, search today is based on tags and text. Images need to have the right tags and captions or search will simply not work. Lumos is a deep neural network, one implementation of AI that learns from experience.

The perceptual smart machine age: Smart machine technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks that will allow organizations with smart machine technologies to harness data in order to adapt to new situations and solve problems that no one has encountered previously. Enterprises that are seeking leverage in this theme should consider the following technologies: Machine Learning, Virtual Personal Assistants, Cognitive Expert Advisors, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Natural-Language Question Answering, Personal Analytics, Enterprise Taxonomy and Ontology Management.

Within a decade, our living spaces will be enhanced by a host of new devices and technologies, performing a range of household functions and redefining what it means to feel at home. The promise of devices that not only meet our household needs but anticipate them as well has been around for decades. To date, that promise remains largely unfulfilled. Advances such as the Nest thermostat by Alphabet (parent company to Google) and Amazon's Alexa personal assistant are notable, but the home-technology market as a whole remains fragmented, and the potential for a truly smart home is still unrealized. A tipping point may be at hand.

Holistic Salons are a series of AI MeetUps featuring talks by Monica Anderson about her research (especially Artificial Intuition) and its philosophical foundations. Initially these were held salon-style in her home but as their popularity grew they were made part of the AI MeetUps.

The development of artificial intelligence (AI) has had a huge influence on today's society, as ongoing discussions evaluate the impacts of creating machines and computer systems that can react and perform like humans. These systems can process information in a more cognitive way, making them capable of more human-like functions like learning, decision-making, and visual perception. Hollywood portrayals of hyper-intelligent robots taking over the planet might make artificial intelligence seem intimidating, but there is a lot that can be gained by through these advanced computer systems. Without the element of human error, intelligent machines are capable of unmatched precision and accuracy, and since they don't require fundamental human needs like oxygen or food, they can perform tasks with far fewer limitations. In fact, AI is already popping up everywhere in our daily lives – through social media recommendations, virtual assistants on our smartphones, and even self-driving cars.

"May you live in Interesting times" widely known as a Chinese proverb, and ironically also referred to as a Chinese curse. Though no etymological trace has been found to its Chinese origin, it is used in an ironic sense, since historically "interesting times" are characterized by chaos, disruption and instability as opposed to peace, order and stability in uninteresting times:-) By that definition, ours is the cursed generation, since there has never been a more interesting time in the history of the human race than today, as we are being swept up slowly but surely in the wave of disruption that is impacting the human way of life. This disruption is visible in our work, our leisure, our consumption patterns, our relationships, and our cultural and social interactions. And this disruption is primarily driven by two but related factors. The first one- A near exponential reduction in cost of technology and the second- the convergence or coming together of various diverse technologies to drive rapid innovation at scale and at speed. The most widely talked about, predicted and feared development is Artificial Intelligence with Machine Learning- the ability of algorithms and systems to replicate human ability of "thinking", "Decision making" and "self learning" ( and soon consciousness) so as to eventually replace human beings across a large variety of jobs.

By 2020, medical data is expected to double every 73 days. With the rapidly growing amount of health data being produced, it is no surprise that medical knowledge is being drowned in the sea of scientific data. To make use of the incredible amounts of medical data, health professionals are increasingly turning to artificial intelligence (AI) to help find patterns in the deluge of data to provide better diagnostics and treatment. And now, the Chan Zuckerberg Initiative may speed progress in that area. The philanthropic arm of Facebook CEO Mark Zuckerberg and his wife Priscilla Chan has just purchased a Canadian healthcare startup, Meta, which uses AI to find, review and compile scientific papers. Meta is the Chan Zuckerberg Initiative's first outright acquisition and will be made free to use for all researchers.

Voice-based artificial intelligence assistants can understand human speech better than ever. But while AI can decipher our words and context to deliver fast results and actions, AI doesn't understand the tone, or one's feelings. Researchers from MIT set out to change that, creating a wearable that can detect the tone of a conversation. In the future, the tool might help people with anxiety or Asperger's syndrome better deal with stressful situations. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Institute of Medical Engineering and Science (IMES) published their findings on an AI-based wearable system that would correlate audio and vital-sign data to act as a social coach for the wearer.