Media Search:



Sewage Enforcement Officers (SEO)

SEO News ItemsAct 34

On June 5, 2020, Act 34 was signed into law as an amendment to the Pennsylvania Sewage Facilities Act (35 P.S. 750)(SFA). Act 34 of 2020 amended sections of the SFA that were previously amended by Act 26 of 2017; specifically, sections 5(c.1) and 5(c.2). On March 2, 2021, an All SEO Letter was sent to clarify the Departments expectation of what municipalities should do with proposals for new land development that they have already received and that were submitted based on the draft Pennsylvania Sewage Facilities Act Program Guidance; Site Suitability and Alternatives Analysis Guidelines for New Land Development Proposing On lot Sewage Disposal (385-2207-001) (Planning Guidance) that was developed in response to Act 26 of 2017. The letter contains important deadlines for sewage planning proposals and can be found under the All SEO Letters heading on this webpage. The Department is working on additional guidance to address specific items associated with the implementation of the SFA as amended by Act 34 of 2020. This guidance will be forthcoming in another All SEO Letter.

The SEO Certification and Training Program Guidance (385-2314-002) has been revised. It was published in the Pennsylvania Bulletin on December 12, 2020, as final. The Technical Guidance Document (TGD) and the Comment and Response Document is now posted in the Departments eLibrary and also accessible via the link below under the heading SEO Training Program. The TGD provides a framework for the Sewage Enforcement Officer (SEO) certification and training program with the goal of producing a knowledgeable and skilled SEO community to help administer the on-lot sewage program in Pennsylvania. The program includes criteria for SEO candidates who wish to become certified SEOs, criteria for certified SEOs to maintain their SEO certification, and criteria for lapsed or inactive SEOs who wish to reinstate their SEO certification. In response to public comments on the draft TGD, changes were made, including: several clarifications; providing for up to three continuing education credits to be carried over from one certification cycle to the next certification cycle; and providing options to test out of the precertification soils course. Changes of note:

The Department recently received an inquiry from a local agency regarding the charging of a fee for a Sewage Enforcement Officer to conduct a complaint investigation. We have been advised by DEP's regulatory counsel that the imposition of such a fee is not sanctioned by the Sewage Facilities Act and is not one of the powers and duties granted to municipalities by the legislature. Please consult with your regional DEP office if you have any questions in this regards.

The Department of Environmental Protection (DEP) and the Department of Conservation and Natural Resources (DCNR) entered into a joint policy in June 1996 (modified December 2002) regarding privies, holding tanks, and water supplies under pressure for existing leased campsites on state lands. To further provide clarification to SEOs and campsite Lessees of the obligations under the Pennsylvania Sewage Facilities Act and DEP's and DCNR's regulations regarding sewage disposal on leased campsites, DEP and DCNR have partnered to develop this new fact sheet.

On April 16, 2015, the states of Delaware, Maryland, Pennsylvania, Virginia, and West Virginia signed a Memorandum of Cooperation (MOC) to share data developed to document the performance of advanced onsite pretreatment units for nitrogen reduction. This will simplify and expedite the approval processes for these technologies in each individual state, and reduce costs to residents and manufacturers. Prior to this MOC, all states nationwide approved systems on an individual basis, and many do not take data collected by other state programs into account.

The benefits of data sharing include:

These advanced treatment systems reduce nitrogen loading by an average minimum of 50 percent. Onsite systems are the smallest source of nutrient loading to the Bay at 3-4% according to the modeling efforts at the EPA Chesapeake Bay Program Office.

As a result of recent inquiries from SEOs regarding conflicts of interest, please follow this legal directive (PDF) if conditions apply.

Note: The following All SEO Letters were sent via electronic mail. If you did not receive any of these letters, please contact RA-SEOtrng@pa.gov to update your email address and request which letter you would like to be resent.

State Board for Certification of Sewage Enforcement Officer

This hCard created with the hCard creator.

Read the original post:
Sewage Enforcement Officers (SEO)

The Affiliate Marketing Podcast M&A Everything you need to know – AffiliateINSIDER – AffiliateINSIDER

In Season 3 of the Affiliate Marketing Podcast, Lee-Ann has been discussing the latest affiliate and digital marketing trends with industry experts. This week, she was joined by Ben Robinson to discuss merge and acquisition (M&A), when affiliate entrepreneurs are ready to sell their business or when brands are ready to buy.

Ben is the Co-Founder of rb.capital, a specialist M&A and funding brokerage company, combining best-in-breed expertise for growth, investment and M&A across gaming, fintech and media verticals.

Ben has 20 years of commercial experience across technology and media, of which the last ten have been deeply embedded in the online gambling and blockchain sectors. Subsequently, he sits on several advisory boards for Fin-Tech and iGaming companies across Europe, Asia-Pacific and the Americas.

[03:20] Ben explains that the pandemic hasnt so much hampered business operations, especially in the online gambling sector.

[10:00] Listen to know the worth of your business and the current average multipliers you can expect.

[17:45] Lee-Ann invites Ben to share his top tips to prepare yourself for selling your affiliate business.

[22:30] Hear to know what are the pitfalls that could happen while you are busy in the selling process and the mistakes a seller can make.

[37:00] Ben talks about where he sees the market going, where it is booming and the current competition.

I love AffiliateINSIDERs Affiliate Marketing Podcast.< If that sounds like you,please give us a 5 Star rating here! Taking the time to do that, helps us support more people in our community to access digital and affiliate marketing insights, expert lead learnings and allows us to share the latest online marketing tactics that help Affiliate programs and businesses to grow.

Click here, scroll to the bottom, tap to rate with five stars, and select Write a Review. Also, if you havent done so already,subscribe to our weekly newsletter and never miss out on FREE insights and training.

We will be adding new episodes as we continue our 3RD SEASON of the Affiliate Marketing Podcast which will be featuring guests wholl be sharing insights on SEO, Social Media, Paid Advertising, Social Selling and so much more!

Subscribe to our podcast HERE!

Read more here:
The Affiliate Marketing Podcast M&A Everything you need to know - AffiliateINSIDER - AffiliateINSIDER

Diffblue’s First AI-Powered Automated Java Unit Testing Solution Is Now Free for Commercial and Open Source Software Developers – StreetInsider.com

Get inside Wall Street with StreetInsider Premium. Claim your 1-week free trial here.

OXFORD, United Kingdom, March 22, 2021 (GLOBE NEWSWIRE) -- Diffblue, creators of the worlds first AI for code solution that automates writing unit tests for Java, today announced that its free IntelliJ plugin, Diffblue Cover: Community Edition, is now available to use to create unit tests for all of an organizations Java code both open source and commercial.

Free for any individual user, the IntelliJ plugin is availablehere for immediate download. It supports both IntelliJ versions 2020.02 and 2020.03. The Diffblue Cover: Community Edition to date has already automatically created nearly 150,000 Java unit tests!

Diffblue also offers a professional version for commercial customers who require premium support as well as indemnification and the ability to write tests for packages. In addition, Diffblue offers a CLI version of Diffblue Cover, perfect for teams to collaborate using.

Diffblues pioneering technology, developed by researchers from the University of Oxford, is based on reinforcement learning, the same machine learning strategy that powered AlphaGo, Alphabet subsidiary DeepMinds software program that beat the world champion player of Go.

Diffblue Cover automates the burdensome task of writing Java unit tests, a task that takes up as much as 20 percent of Java developers time. Diffblue Cover creates Java tests at speeds 10X-100X faster than humans that are also easy for developers to understand, and automatically maintains the tests as the code evolves even on applications with tens of millions of lines of code. Most unit test generators create boilerplate code for tests, rather than tests that compile and run. These tools guess the inputs that can be used as a starting point, but developers have to finish them to get functioning tests. Diffblue Cover is uniquely able to create complete human-readable unit tests that are ready to run immediately.

Diffblue Cover today supports Java, the most popular enterprise programming language in the Global 2000. The technology behind Diffblue Cover can also be extended to support other popular programming languages such as Python, Javascript and C#.

About DiffblueDiffblue is leading the automation of software creation through the power of AI. Founded by researchers from the University of Oxford, Diffblue Cover uses AI for code to write unit tests that help software teams and organizations efficiently improve their code coverage and quality and to ship software faster, more frequently and with fewer defects. With customers including AWS and Goldman Sachs, Diffblue is venture-backed by Goldman Sachs and Oxford Sciences Innovation. Follow us on Twitter:@diffblueHQ

Editorial contact DiffblueLonn Johnston, Flak42lonn@flak42.com+1.650.219.7764

Visit link:
Diffblue's First AI-Powered Automated Java Unit Testing Solution Is Now Free for Commercial and Open Source Software Developers - StreetInsider.com

PNYA Post Break Will Explore the Relationship Between Editors and Assistants – Creative Planet Network

n honor of Womens History Month, Post Break, Post New York Alliance (PNYA)s free webinar series, will examine the way two top female editors have worked with their assistants to deliver shows for HBO, Freeform and others.

By ArtisansPR Published: March 23, 2021

Free video conference slated for Thursday, March 25th at 4:00 p.m. EDT

NEW YORK CITYA strong working relationship between the editor and her assistants is crucial to successfully completing films and television shows. In honor of Womens History Month, Post Break, Post New York Alliance (PNYA)s free webinar series, will examine the way two top female editors have worked with their assistants to deliver shows for HBO, Freeform and others.

Agns Challe-Grandits, editor of the upcoming Freeform series Single, Drunk Female and her assistant, Tracy Nayer will join Shelby Siegel, Emmy and ACE award winner for the HBO series The Jinx: The Life and Deaths of Robert Durst and her assistant, JiYe Kim, to discuss collaboration, how they organize their projects and how editors and assistants support one another. The discussion will be moderated by Post Producer Claire Shanley.

The session is scheduled for Thursday, March 25th at 4:00pm EDT. Following the webinar, attendees will have an opportunity to join small, virtual breakout groups for discussion and networking.

Panelists

Agns Grandits has decades of experience as a film and television editor. Her current project is Single Drunk Female, a new, half-hour comedy for Freeform. Her previous television credits include P. Valley and SweetBitter for STARZ, Divorce for HBO, Odd Mom Out for Bravo and The Breaks for VH1. She also worked for Showtime on The Affair and Nurse Jackie. In addition, she edited The Jim Gaffigan Show for TV Land, Gracepoint for Fox, an episode on the final season of Bored to Death for HBO, and 100 Centre Street, directed by Sydney Lumet for A&E. Her credits with HBO also include Sex and the City and The Wire.

Tracy Nayer has been an Assistant Editor for more than ten years and has been assisting Agns Grandits for five. She began her career in editorial finishing at a large post-production studio.

Shelby Siegel is an Emmy award-winning film and television editor who has worked in New York for more than 20 years. Her credits include Andrew Jareckis Capturing the Friedmans and All Good Things, Jonathan Caouettes Tarnation, and Gary Hustwits Helvetica and Urbanized. She won Emmy and ACE awards for HBOs acclaimed six-part series The Jinx: The Life and Deaths of Robert Durst. Most recently, she edited episodes of Quantico (ABC), High Maintenance (HBO) and The Deuce (HBO). She began her career working under some of the industrys top directors, including Paul Haggis (In the Valley of Elah), Mike Nichols (Charlie Wilsons War), and Ang Lee on his Oscar-winning films, Crouching Tiger, Hidden Dragon and Brokeback Mountain. She also worked on the critically acclaimed series The Wire.

JiYe Kim began her career in experimental films, working with Anita Thacher and Barbara Hammer. Her first credit as an assistant editor came for Alphago (2017). Her most recent credits include High Maintenance, The Deuce, Her Smell and Share.

Moderator

Claire Shanley is a Post Producer whose recent projects include The Plot Against America and The Deuce. Her background also includes post facility and technical management roles. She served as Managing Director at Sixteen19 and Technical Director at Broadway Video. She Co-Chairs the Board of Directors of the NYC LGBT Center and serves on the Advisory Board of NYWIFT (NY Women in Film & Television).

When: Thursday, March 25, 2021, 4:00pm EDT

Title: The E&A Team

REGISTER HERE

Sound recordings of past Post Break sessions are available here: https://www.postnewyork.org/page/PNYAPodcasts

Past Post Break sessions in video blog format are available here: https://www.postnewyork.org/blogpost/1859636/Post-Break

About Post New York Alliance (PNYA)

The Post New York Alliance (PNYA) is an association of film and television post-production facilities, labor unions and post professionals operating in New York State. The PNYAs objective is to create jobs by: 1) extending and improving the New York State Tax Incentive Program; 2) advancing the services the New York Post Production industry provides; and 3) creating avenues for a diverse talent pool to enter into The Industry.

http://www.pnya.org

Read more:
PNYA Post Break Will Explore the Relationship Between Editors and Assistants - Creative Planet Network

You need to Know about the History of Artificial Intelligence – Technotification

The concept of a machine that thinks derives from ancient Greece. However, as the introduction and the events and achievements for the development of artificial intelligence are significant events and related to some of the subjects covered in this article:

1950: Computing Machinery and Knowledge is written by Alan Turing. In the article, Turingknown for cracking the ENIGMA code of Nazi society during the Second World Warproposes to respond to the question do machines think? and implements the Turing Test (link exists outside of IBM), which would decide if a robot can show the same intellect as the human. Since then, the importance of the Turing test has been discussed.

1956: at the first-ever Dartmouth College AI meeting, John McCarthy coins the word artificial intelligence. (The Lisp language was invented by McCarthy.) Later that year the Logic Theorist, the first AI software in use was developed by Allen Newell, J.C. Shaw, and Herbert Simon.

1967: The first computer-based on a neural network, Frank Rosenblatt produces the Mark 1 Perceptron which is learned through checking and mistakes. A year later, Marvin Minsky and Seymour Papert released a book called Perceptrons, the seminal work of neural entries and an argument against future research ventures of neural networks for at least a while.

1980: Backpropagated neural networks network training algorithms are commonly used in AI applications.

1997: IBMs Deep Blue champion Garry Kasparov defeats than in the chess match (and rematch).

2011: Ken Jennings and Brad Rutter at Jeopardy beating winners of IBM Watson!

2015: The Minwa Supercomputer of Baidu uses a special deep neural network called a neural network to recognize and categorize images that are more precise than the human average.

2016: the AlphaGo software from DeepMind, guided by a deep neural network beats in a five-match game Lee Sodol, the world champion Go. The win is important in light of the large number of moves available (more than 14.5% after only four moves!) as the game progresses. Subsequently, Google bought a rumored $400 million from DeepMind.

Artificial intelligence allows computers and devices to imitate the mental capacity of the human mind to perceive, understand, solve problems and take decisions.

The word artificial intelligence refers to a human-like intelligence demonstrated by a computer, robot, or other machines in computer science. Artificial intelligence refers in common use to a computer or a machines capacity to imitate the human minds capacity to learn from examples and experience, to recognize objects, to understand and respond to language, to make decisions, to resolve problems and to combine these and other capabilities to full function, for instance, to greet a guest at the hotel.

AI is now part of our daily lives after decades of being confined to science fiction. A huge volume of data and the subsequent growth, as well as the vast availability of computing technology, are making a boost in AI development feasible, which allows all this data to be processed more quickly and reliably than human users can. AI finishes by typing our terms, gives instructions when asked, vacuums our floors, and suggests what to buy or watch next. It also helps qualified practitioners perform quicker and with better results by pushing software, such as medical image processing.

As popular today as is artificial intelligence, it can be difficult to grasp the language for AI and AI since certain words are used interchangeably, and in some cases synonymous. What is the difference between machine learning and artificial intelligence? Between the learning process and profound learning? Between speech recognition and production of natural language? Zwischen AI weak and AI strong? This article will help you overcome these and other terms and grasp the concepts of AIs working.

Continue reading here:
You need to Know about the History of Artificial Intelligence - Technotification