If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Russian Direct Investment Fund (RDIF) is considering investments in the Botkin.AI platform developed by Intellogic LLC and the OSA Hybrid Platform, one of Russia's leading companies in RetailTech, the Fund said in a statement on Saturday. Botkin.AI, a high-tech platform for medical image analysis, is used for diagnostics and disease risk assessment. "By supporting the Botkin.AI platform, RDIF and its partners seek to provide medical centers with additional tools for effective, efficient and timely diagnosis. AI enables doctors to choose the right treatment tactics and, if necessary, consult with colleagues using the platform's capabilities. We see significant opportunities for the expansion of Botkin.AI internationally and are committed to helping the platform enter the global healthcare market," RDIF Chief Executive Officer Kirill Dmitriev was quoted as saying.
Everyone keeps hearing the word " Chatbots" all the time and end up wondering about its use cases and applications it holds for businesses and consumers alike. Chatbots have been in the news for long and yet we are seeing the rise of Chatbot now. With increasing digital-savvy customers, businesses across the world are warming to the concept of Chatbot. Statistics are telling the true picture of growing acceptance of Chatbots by the B2B, B2C, SaaS, Start-ups, SME among others as it increases engagement with the online visitors while helping them making a purchase online. Gartner predicts that chatbots will power 85 percent of all customer service interactions by the year 2020.
Business intelligence has become firmly established among enterprise clients and larger SMEs and is now an indispensable tool for forward-looking corporate management. At the same time, the technology is developing rapidly. The next milestone in "predictive" and "prescriptive" analytics is about to be reached. Taking this development into account, Informatec has entered into a partnership with DataRobot, the leader in enterprise AI. Informatec announced its partnership with DataRobot at its second Qlik Discovery & Booster Day in Pratteln at the end of October.
The disruptive sales startup presented its solution to local investors, after it has gained successful track record working with leading clients in Europe and South America. Enerjoy, an artificial intelligence platform that uses personalized gamification to increase sales teams' motivation and performance, announced the launch of its series A fundraising round, as part of a remarkable event held by Strtupboost and SAP Next Gen at the latter's headquarters in New York city. Enerjoy's scientifically based solution was proven to increase sales reps performance by an average of 25%, catering leading clients as banks, insurance, travel and telecom companies in Europe and South America. Gabby Hasson, Managing Partner at Bseed who's mother company Besadno VC invested in enerjoy last June says; "as a venture capital firm that sees hundreds of startups each year, we always look for smart technologies that can make a real impact on different industries while presenting significant scale potential. Besadno joins enerjoy's former investors' list: Nielsen Innovate, Samurai-Incubate and Israeli Innovation Authority. Enerjoy takes pride in its customers as Orange telecom and Tatra Bank in Slovakia, Coca Cola in Israel, Fattal hotel reservation centers and other media, insurance and technology companies in different countries. The company developed a personal motivational profile algorithm based on research it has conducted with its organizational and behavioural scientists, along with other studies such as Harvard motivational model. Their conclusions were then translated into an artificial intelligence platform that uses gamification to motivate each rep individually. The platform increases each reps' sales rates and responds to changes in real time. In addition, it serves as a support tool for the teams' manager, sending relevant notifications about reps progress. Viki Glam, enerjoy's CEO and Co-Founder noted: "We have spent a lot of time and resources to validate our motivational algorithm and to prove it can bring results to serious clients in different industries and different cultures.
More than a decade ago leading UK investigative journalist Nick Davies published Flat Earth News, an exposé of how the mass media had abdicated its responsibility to the truth. Newsroom pressure to publish more stories, faster than their competitors had, Davies argued, led to journalists becoming mere "churnalists", rushing out articles so fast that they could never check on the truth of what they were reporting. Shocking as Davies' revelations seemed back in 2008, they seem pretty tame by today's standards. We now live in a post-truth world of Fake News and'alternative facts'; where activists don't just seek to manipulate the news agenda with PR but now use advanced technology to fake images and footage. A particularly troubling aspect of these'deepfake' videos is their use of artificial intelligence to fabricate people saying or doing things with almost undetectable accuracy.
Artificial intelligence - A system or machine which can be programmed to display self-learning through experience and understanding patterns. In short, mimicking human ability to think and do. Automation - a piece of software that follows rules that are pre-programmed which are then applied to repetitive tasks. Digital lending has become a data problem due to the increasing volumes of users and transactions, which is why the process is perfect for machine learning. In order to keep up with shifts in trends within the rapidly increasing small business and start up industry, the Digital lending marketplace now uses these technologies to avail of loans at the single click of a button.
Nvidia has topped an independent AI Inference benchmarking test called MLPerf. The test measures AI performance in data-centres and at the edge (on your phone, in robots, etc.) in several categories, all of which Nvidia managed to top. Much like children, AI needs to be taught to do things before it's allowed into the wild. This is done by first training an AI model in a supercomputer, where it is brought up on a diet of data. The idea is that the AI munches through this data and figures out how to deduce information from it, in other words, the AI learns to infer.
There's booming demand for silicon custom-designed to accelerate AI workloads, as the gobs of cash raised by startups like Hailo Technologies, Graphcore, and Untether AI demonstrates. The fierce competition isn't deterring Blaize (formerly Thinci), which hopes to stand out from the crowd with a novel graph streaming architecture. The nine-year-old startup's claimed system-on-chip performance is impressive, to be fair, which is likely why it's raised nearly $100 million from investors including automotive component maker Denso. Blaize emerged from stealth today with $87 million raised over several venture rounds from strategic and venture backers Denso, Daimler, SPARX Group, Magna, Samsung Catalyst Fund, Temasek, GGV Capital, SGInnovate, and Magna; the second-to-last round closed in September 2018 and totaled $65 million. The company initially focused on what it called vision processors -- chips to speed up vision, radar, and sensor fusion tasks -- before expanding to encompass datacenters, edge infrastructure devices, and enterprise client devices.
Designers no longer need to worry about the costs of deep-learning acceleration: Nvidia is making the technology available for free. The company has extracted the deep-learning accelerator (NVDLA) from its Xavier autonomous-driving processor and is offering it for use under a royalty-free open-source license. It's managing the NVDLA project as a directed community, which it supports with comprehensive documentation and instructions. Nvidia delivers the NVDLA core as synthesizable Verilog RTL code, along with a step-by-step SoC-integrator manual, a run-time engine, and a software manual. The company's strategy in creating the open-source project is to foster more-widespread adoption of neural-network inference engines. It expects to thereby benefit from greater demand for its expensive GPU-based training platforms. Most neural-network developers train their models on Nvidia GPUs, and many use the Cuda deep-neural-network (cuDNN) library and software-development kit (SDK) to run models built in Caffe2, Pytorch, TensorFlow, and other popular frameworks.
Nvidia, leading manufacturer of AI-enabled processor technology, and embedded specialist Syslogic are entering into a strategic partnership. The new addition is a Syslogic component by Nvidia's partner program Jetson Ecosystem. Nvidia lists companies that promote the development of products based on the Jetson platform and thus pave the way for AI applications. Thanks to the new partnership with Syslogic, Nvidia's processor technology will be increasingly used in the rough industrial environments. As an AI pioneer Nvidia currently offers three processor families with different performance capabilities with its Jetson platform - Jetson Nano, Jetson TX2 and Jetson AGX Xavier.