About Massimiliano Versace I am the co-founder andam the co-founder and CEO of Neurala Inc., a Boston-based company building Artificial Intelligence emulating brain function in software. Neurala commercializes a new Deep Learning technology called Lifelong-DNN which revolutionizes AI by enabling continuous learning even on small compute devices. Over my academic and industrial career, I have co-founded the Boston University Neuromorphics Lab, authored dozens among academic papers, book chapters, and patents, and lectured at dozens of events and venues, including TEDx, keynote at Mobile World Congress, DARPA, the Pentagon, GTC, InterDrone, Los Alamo National Lab, GE, Air Force Research Labs, HP, iRobot, Samsung, LG, Qualcomm, Huawei, Ericsson, BAE Systems, AI World, Mitsubishi, ABB and Accenture, among many others. My work has been featured in in TIME, IEEE Spectrum, Fortune, CNBC, The Boston Globe, Xconomy, The Chicago Tribune, TechCrunch, VentureBeat, Nasdaq, Associated Press and many other media. Career and company awards include: CB Insights 100 Most Promising AI Companies, Draper Venture Network Most Innovative Company, Disruptor Daily 100 Most Disruptive Companies, Edison Award Best New Product in Social Innovation.

The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it, either for the purchase of accelerated hardware (such as computers with high-end GPUs) or for the rental of compute resources in the cloud (such as instances with attached GPUs, TPUs, and FPGAs). On the other hand, solving the skills problem is harder. Data scientists often command hefty salaries and may still be hard to recruit. Google was able to train many of its employees on its own TensorFlow framework, but most companies barely have people skilled enough to build machine learning and deep learning models themselves, much less teach others how.

Chips developed by domestic autonomous driving solution provider Horizon Robotics are displayed at the WAIC 2019 in Shanghai.

The democratization of artificial intelligence and machine learning is transforming information technology. Developers and operations teams can access intelligent tools to make sense of vast data sets and troubleshoot issues. Now AI and ML are trickling down to regular business people. Intelligent experience technology is putting AI and ML in laymen's hands. It is enabling them to transform the way actual business processes -- not IT processes -- are completed.

Industrial Growth Forecast Report Artificial Intelligence AI As a Service Market 2019-2025: The Global Artificial Intelligence AI As a Service Market Report provides Insightful information to the clients enhancing their basic leadership capacity identified with the worldwide Artificial Intelligence AI As a Service Market business, including market dynamics, segmentation, competition, and regional growth. Each section of the report reveals critical information about the global Artificial Intelligence AI As a Service market that could be used to ensure strong growth in the coming years. All of the segments included in the report are studied on the basis of different factors such as Artificial Intelligence AI As a Service market share, consumption, revenue, and growth rate. The prime objective of this research report is to define the size of the different segments and the geographies as well as to forecast the trends that are likely to gain traction in the following couple of years. This market research report has been designed to incorporate both the qualitative and quantitative aspects of the industry within each of the regions.

An unsupervised machine learning study presented at the 2019 meeting of Association for Computational Linguistics--which examined 3.5M books published between 1900 and 2008--indicates that men are described based on their behavior, where women are described based on appearance. In specific, words like "beautiful" and "sexy" are two of the adjectives most frequently used to describe women, while common descriptors for men were "brave," "rational," and "righteous." The books, which amounted to approximately 11B words in sum, included a mix of fiction and non-fiction. "We are clearly able to see that the words used for women refer much more to their appearances than the words used to describe men," said University of Copenhagen computer scientist and assistant professor Isabelle Augenstein in a statement. "Thus, we have been able to confirm a widespread perception, only now at a statistical level."

In Europe, 37,000 people die each year from infections caught while hospitalized. How are we working to prevent this global public health concern in Norway? This episode discusses how AI can benefit the healthcare industry, where its impact promises to be truly life-changing. From hospital care to clinical research, drug development and insurance, AI applications are revolutionizing how the healthcare sector works to reduce spending and improve patient outcomes. Tune in to hear more about how the Nordics are working to prevent infections caught while hospitalized from the Director of Technology and e-health at Helse Sør-Øst.

How can artificial intelligence be oriented toward the common good? The belief in AI for good has widespread acceptance in the industry and among governments. Declarations from around the globe--Canada, China, South Korea, France, and more--call for the development of AI to have a social purpose. But what is that purpose? The workshop seeks to develop a vision for a commons-based approach to the future of AI.

The concept of autonomous driving has been around for a very long time. Today, almost every car manufacturer produces some sort of self-driving car, but only a few of them are developing systems that in the future will do not need human drivers to take control to operate the vehicle. Chinese tech giant Huawei is developing autonomous vehicles in partnership with various European, Japanese and Chinese car manufacturers to launch self-driving cars as early as 2021. The Company seeks to move beyond its traditional telecom equipment industry to embrace a broader range of artificial intelligence products. Huawei recently signed a memorandum of understanding with Audi.

Alibaba co-founder Jack Ma thinks that artificial intelligence (A.I.) will allow humans to work 12-hour workweeks. Ma made that statement while sharing a stage with Tesla CEO Elon Musk at the World Artificial Intelligence Conference in Shanghai. "I think people should work three days a week, four hours a day," Ma said, adding: "I think that because of artificial intelligence, people will have more time to enjoy being human beings. I don't think we'll need a lot of jobs." Musk, who helped co-found OpenAI, a semi-non-profit dedicated to mitigating any existential risk from A.I., also offered that computers will surpass humans "in every single way" (per CNBC).