An Initial Estimate of the Cost of Lost Climate Regulation Services Due to Changes in the Arctic Cryosphere

Outlines how arctic sea ice and snow cover help maintain the global climate and ecosystems, the impact of changes in sea and land reflectivity and methane emissions, research on the social cost of carbon, and the estimated economic cost of climate change

Changing the Rules: How to Get Your Green Job

The planet needs saving, and you need a job. What is your first step? Eban Goodstein, Director of the Bard Center for Environmental Policy, will discuss getting started in a green career, and discuss the “C2C Strategy” to finding the sustainability work you want, in the town where you want to live. Working in small groups, teams work through the strategy process. Each student will head home with a plan to land a job or summer internship, and lay the foundation for a career saving the planet.Participants will be introduced to career tracks in sustainability and fundamental skills for career success, including people asking for stuff, visioning, and persuasive communication. In the workshop, working in teams, students will develop a concrete strategy for finding a green job or sustainability internship in both the field and the geographic area where they want to work

Criminal liability of the Police in Cameroon: Prospects and Challenges

This paper looks at the institutional framework and the procedural mechanisms involved in rendering police accountable through the criminal trial process in Cameroon. The difficulties involved in getting a police agent answer for his criminal misconduct as a result of the coexistence of the civil and common-law legal systems will be of particular interest. Challenges facing the criminal trial process prior to and after the enactment of a single criminal procedure code in Cameroon are also examined and recommendation offered with the view to enhancing the criminal trial of police officers in Cameroon without hampering the smooth running of their duties

Weight compression for deep networks using Kronecker products

Deep networks have shown success in many challenging applications, e.g., image understanding, natural language processing, etc. The success of deep networks is traced to the large numbers of neurons deployed, each with weighted interconnections to other neurons. The large numbers of weights result in classification accuracy, but also use significant memory. This disclosure describes techniques to reduce the number of weights used in deep networks by representing the matrices of deep network weights as the Kronecker product of two or more smaller matrices. The reduction in weights is made possible by the observation that deep networks do not always use a majority of their weights. Training procedures are described for the resulting compressed network. The techniques of this disclosure enable deep networks to be deployed in small footprint applications, e.g., mobile or wearable devices. Applications with no immediate memory constraint, e.g., servers, also benefit by the greater speed of deployment enabled by the techniques herein