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.
Let's see some simple example which helps you to illustrate the reinforcement learning mechanism. Consider the scenario of teaching new tricks to your cat. There are three approaches to implement a Reinforcement Learning algorithm. In a value-based Reinforcement Learning method, you should try to maximize a value function V(s). In this method, the agent is expecting a long-term return of the current states under policy π.