In manufacturing, four factors -- speed, agility, quality, and reliability -- typically decide winners from losers. But most of today's plants are missing the secret to improving these areas: data. In fact, less than 5% of all data generated in manufacturing plants ever gets analyzed for insights, with little of that in real time. The industrial Internet of Things (IIoT) can change all that, while helping plant operators boost asset performance and returns. In this info-packed webinar, two of the world's top experts on the IIoT and data science will offer you: Today a consultant, speaker, author, and blogger, Joe Barkai was once vice president of research at IDC, one of the world's top market research firms.
A 28-year-old Bangladeshi law student was hacked to death by at least four assailants after criticizing Islamism on Facebook, police said Thursday. The secular activist's death is the latest in a string of killings of independent writers in the South Asian country. Nazimuddin Samad was reportedly attacked with machetes at a traffic junction late Wednesday in the capital city of Dhaka. The assailants shouted "Allahu Akbar" (God is great) as they attacked Samad, whose family lives in London. Samad was attacked near Dhaka's Jagannath University, the Dhaka Tribune reported.
This story was originally published by HuffPost and has been republished here with permission from Climate Desk. MIAMI―Myesha Pugh fled the apartment complex where she spent the first 30 years of her life after an insect wormed into her grandmother's ear in the middle of the night. "My dad took her to the hospital, and the hospital retrieved a live cockroach," she recounts with disgust. Conditions at the multifamily complex in the heart of Miami's Overtown neighborhood, where rents hovered at about $500 a month, quickly deteriorated after the original owner died and left it to her children. "I personally think they're waiting for the city to condemn the building," says Pugh. Miami has a housing crisis, and Pugh is one of its victims.
With antiquated trains, rusty rails and straphangers who keep the doors from closing, the New York City subway could hardly be described as efficient. And yet, some trains arrive with a certain regularity, following a neat statistical model similar to that seen in quantum systems. Aukosh Jagannath at the University of Toronto, Canada, and Tom Trogdon at the University of California, Irvine, used the subway system's real-time data feeds to analyse gaps between arrival times on two lines. They found that the 6 line that runs up the east side of Manhattan is inefficient. Its trains follow the Poisson distribution, a statistical model that describes particles that arrive more or less randomly.
You will then learn how to implement these in pythonic and concise PyTorch code, that can be extended to include any future deep Q learning algorithms. These algorithms will be used to solve a variety of environments from the Open AI gym's Atari library, including Pong, Breakout, and Bankheist. You will learn the key to making these Deep Q Learning algorithms work, which is how to modify the Open AI Gym's Atari library to meet the specifications of the original Deep Q Learning papers. Also included is a mini course in deep learning using the PyTorch framework. This is geared for students who are familiar with the basic concepts of deep learning, but not the specifics, or those who are comfortable with deep learning in another framework, such as Tensorflow or Keras.