Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issues that affect the current review process used by these conferences. The review process has several issues that may undermine the nature of scientific research, which is of being fully objective, apolitical, unbiased and free of misconduct (such as plagiarism, cheating, improper influence, and other improprieties). In this work, we study the problem of reviewers' recruitment, infringements of the double-blind process, fraudulent behaviors, biases in numerical ratings, and the appendix phenomenon (i.e., the fact that it is becoming more common to publish results in the appendix section of a paper). For each of these problems, we provide a short description and possible solutions. The goal of this work is to raise awareness in the Machine Learning community regarding these issues.

UPDATE! Behind the scenes, we're working hard to establish a corona-proof event concept. We offer tickets to the live event (max. All registered visitors receive access to the presentation videos (on demand) afterwards. Registration is possible until 1 day prior to the conference.

The Machine Learning & Deep Learning Track is where experts in the rapidly expanding fields of Deep Learning and Machine Learning gather to discuss the latest advances, trends, and models in this exciting field. Attend talks, tutorials, and workshops and hear from the creators and top practitioners as they demonstrate and teach the latest models and trends in Machine Learning and Deep Learning to solve problems in business and society.

ModalityIQ, a community-based knowledge sharing and learning platform, is pleased to announce the acquisition of The Machine Learning Conference ("MLconf" and "MLconf.com"), a leader in serving the Machine Learning and Artificial Intelligence community. Founded by Courtney and Shon Burton in 2012, MLconf has gathered thousands of members of the machine learning community to coalesce and share lessons learned through a series of 20 conferences that showcase the latest innovations in machine learning tools, techniques and algorithms attracting Data Scientists, Machine Learning professionals and others who have a vested interest in ML/AI. "Sharing lessons learned that help advance the ML/AI community is at the core of ModalityIQ's mission and is why the acquisition of MLconf made sense for us," said Richard Rivera, Founder & CEO of ModalityIQ. "Courtney's years of service and her dedication to providing a platform for the ML/AI community to share, learn, and inspire one another made her the obvious person for us to partner with. We look forward to working with her and the MLconf team to continue to facilitate the sharing of knowledge within the ML/AI community today and in the years to come." In addition to hosting annual conferences, MLconf also has a vibrant online presence through a community blog and job board at mlconf.com, a monthly newsletter, and via social media in addition to a prolific YouTube channel with hundreds of videos highlighting current and past MLconf presentations.

Overjet is an early-stage VC-backed startup building the future of data-driven dentistry. We are using AI to transform the $130B dental care market and improve patient outcomes. We are seeking an entrepreneurially-minded a highly skilled developer who is comfortable with backend software development including deploying machine learning models, loves challenges and is passionate about impacting lives. Please email your resume to careers@overjet.ai. Develop machine learning pipelines Deploy machine learning models for inference Implement and maintain metrics for tracking ML models performance Design and develop microservices and APIs related to data ingestion, machine learning and product quality Ensuring responsiveness of applications.

MEConferences team cordially invites all the participants from all over the world to attend World Machine Learning and Deep Learning Congress during August 30 - 31, 2018 in Dubai, UAE. This includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions. Machine Learning is a subset of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed and to make intelligent decisions. It also enables machines to grow and improve with experiences. It has various applications in science, engineering, finance, healthcare and medicine.

Whether you're interested in cognitive computing, artificial intelligence or machine learning, you probably know that the fourth industrial revolution is well underway and accelerating rapidly. The speed of change presents a challenge to developers who want to stay abreast of the latest ideas and approaches. Conferences, workshops and other meetings provide opportunities to learn where the jobs and technology is headed and a chance to learn and practice the skills necessary to keep up. Why you should attend: AI engineers, practitioners, researchers and scientists will discuss the latest developments in the field, while tutorials and workshops will give attendees a chance to hone their skills. Speakers will be drawn from a wide variety of sectors, including Microsoft, MIT, the National Science Foundation and NASA Ames Research Center.

Janzamin, H. Sedghi and A. Anandkumar, Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods, 2015 The AI Winter refers to the period in the mid-1980s in which interest in AI began to drop as the field failed to yield significant practical gains. Skynet is the name of the fictional, murderous artificial intelligence in the Terminator movie series. See also Harry Surden, Technological Opacity, Predictability, and Self-Driving Cars, 38 Cardozo L. Rev. 121, 162–63 (2016). See also In the Matter of the American Medical Association, et al., 94 F.T.C. 701 (1979) (doctors); In the Matter of Connecticut Chiropractic Ass'n, 114 F.T.C. 708 (1991) (chiropractors); In the Matter of Nat'l Soc'y of Prof'l Eng'rs, 116 F.T.C. 787 (1993) (engineers).

Whether you're interested in cognitive computing, artificial intelligence or machine learning, you probably know that the fourth industrial revolution is well underway and accelerating rapidly. The speed of change presents a challenge to developers who want to stay abreast of the latest ideas and approaches. Conferences, workshops and other meetings provide opportunities to learn where the jobs and technology is headed and a chance to learn and practice the skills necessary to keep up. Why you should attend: AI engineers, practitioners, researchers and scientists will discuss the latest developments in the field, while tutorials and workshops will give attendees a chance to hone their skills. Speakers will be drawn from a wide variety of sectors, including Microsoft, MIT, the National Science Foundation and NASA Ames Research Center.