Tokyo-based AI Medical Service Inc., which is developing endoscopic software powered by artificial intelligence, announced today that it has raised $42.9 million in a Series B round. Japan's Globis Capital Partners, World Innovation Lab (WiL) out of Palo Alto and Sony Innovation Fund by IGV (Innovation Growth Ventures), and others participated in the financing. Combined with the company's last raise of $9 million in August 2018, AI Medical Service has now brought in about $57 million in venture funding since its inception in September 2017. In its own words, the company "develops AI technology that brings together the wisdom of Japanese endoscopic specialists and supports endoscopic examinations of gastrointestinal organs, such as the esophagus, stomach, small intestine and large intestine." Its goal is to more quickly and efficiently diagnose gastric cancer.

"Let's not use society as a test-bed for technologies that we're not sure yet how they're going to change society," warned Carly Kind, director at the Ada Lovelace Institute, an artificial intelligence (AI) research body based in the U.K. "Let's try to think through some of these issues -- move slower and fix things, rather than move fast and break things." Kind was speaking as part of a recent panel discussion at Digital Frontrunners, a conference in Copenhagen that focused on the impact of AI and other next-gen technologies on society. The "move fast and break things" ethos embodied by Facebook's rise to internet dominance is one that has been borrowed by many a Silicon Valley startup: develop and swiftly ship an MVP (minimal viable product), iterate, learn from mistakes, and repeat. These principles are relatively harmless when it comes to developing a photo-sharing app, social network, or mobile messaging service, but in the 15 years since Facebook came to the fore, the technology industry has evolved into a very different beast. Large-scale data breaches are a near-daily occurrence, data-harvesting on an industrial level is threatening democracies, and artificial intelligence (AI) is now permeating just about every facet of society -- often to humans' chagrin.

Connect, download a free E-Book, watch a keynote, or browse my blog. In the early days of life on Earth, biological organisms were exceedingly simple. They were microscopic unicellular creatures with little to no ability to coordinate – a little like me still to be frank, especially after I've been travelling. Yet billions of years of evolution through competition and natural selection led to the complex life forms we have today – as well as complex human intelligence. Researchers at OpenAI, the San Francisco based for-profit AI research lab, are now testing a hypothesis – if you could mimic that kind of competition in a virtual world, would it also give rise to much more sophisticated artificial intelligence?

While some predict mass unemployment or all-out war between humans and artificial intelligence, others foresee a less bleak future. A future looks promising, in which humans and intelligent systems are inseparable, bound together in a continual exchange of information and goals, a "symbiotic autonomy." It will be hard to distinguish human agency from automated assistance -- but neither people nor software will be much use without the other. In the future, I believe that there will be a co-existence between humans and artificial intelligence systems that will be hopefully of service to humanity. These AI systems will involve software systems that handle the digital world, and also systems that move around in physical space, like drones, and robots, and autonomous cars, and also systems that process the physical space, like the Internet of Things.

In line with a PwC India report named "With AI's Great Power Comes Great Responsibility", a very sad 10 percent of Indian CEOs are pretty dependable and in confidence of the accuracy and authenticity of the Artificial Intelligence (AI) application software they put to use. This is a really alarming and an attention drawing scenario where in today's world and time, Indian business establishments lack the aid of the AI benefactor. This report brought to light the dire need to understand the'Responsible AI' system and the areas it can be made use in.

Global Intelligent Process Automation (IPA) Market Size (Sales) Market Share by Type (Product Category) [Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA] in 2018 Intelligent Process Automation (IPA) Market by Application/End Users [IT Operations, Business Process Automation, Application Management, Content Management, Security] Global Intelligent Process Automation (IPA) Sales (Volume) and Market Share Comparison by Applications Global Global Intelligent Process Automation (IPA) Sales and Growth Rate (2014-2025) Intelligent Process Automation (IPA) Competition by Players/Suppliers, Region, Type and Application Intelligent Process Automation (IPA) (Volume, Value and Sales Price) table defined for each geographic region defined. Global Intelligent Process Automation (IPA) Players/Suppliers Profiles and Sales Data Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers Market Sales, Revenue, Price and Gross Margin (2014-2018) table for each product type which include Cost Structure Analysis Key Raw Materials Analysis & Price Trends Supply Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis ……..and view more in complete table of Contents

With the rise of self-driving technologies, there is great speculation as to how this new world of autonomous transportation will impact the economy and society. Critics claim that industries will suffer, millions of people will lose their jobs, and society will overall be worse off. Optimists predict that along with new technologies will come new industries and new jobs, and with the benefits of self-driving cars, there will be a ripple of benefits into other aspects of life. Before exploring these different possibilities of what the future may be, let's take a journey to the past. Here we find civilizations at war, and one of the earliest forms of transportation: the chariot.

As big pharmaceutical companies run into roadblocks in discovering new treatments, they are turning to AI startups for assistance. Large pharmaceutical companies are partnering with AI startups to develop new drugs and therapeutics. Artificial intelligence could expedite the drug discovery process by finding new molecular compounds faster than traditional methods. AI may also improve predictions for the outcomes of new drugs, potentially boosting the likelihood of success through each stage of the drug development pipeline. Pharma giants like Pfizer are collaborating with startups like XtalPi, a Massachusetts-based startup backed by Google, Sequoia Capital China, and Tencent Holdings.

Global demand for food is anticipated to increase by 60% by 2050. Today, a great percentage of the world's population is fed by small-scale farmers, primarily from developing countries, using traditional methods and rudimentary farming practices. The complex value chain and the lack of resources and connectivity add to the agricultural inefficiency, so, there is a strong need for a wider package of yield optimizing and risk decreasing services for these small-scale farmers. Project FARM, created at Capgemini's Applied Innovation Exchange (AIE) Collaboration Zone (CoZone) in the Netherlands, aims to address these issues. The Project FARM platform uses Artificial Intelligence to determine farming patterns through big data, generating insights from the data to make recommendations.

The destruction of reality just got one step closer with a new Artificial Intelligence development that will help the world sink further into discord, unrest, and good old propaganda: a neural network capable of writing believable fake comments to news articles. DeepCom -- as the new horseman of the AI apocalypse is called -- has recently been made public in a research paper by engineers from Microsoft and Beihang University in China. According to the paper, the scientists believe that "automatic news comment generation is beneficial for real applications." The system is formed by two neural networks: one to analyze the content of the article -- which interprets the headline, lede and body to realize what are the important points. Then, another neural network uses that information to generate the fake comment.