Officially it is just a research vessel, but China's newly unveiled drone carrier is a clear sign Beijing is rushing to deploy an autonomous swarm of unmanned devices in its push for military supremacy in the Pacific Ocean. State media last month showed the launching of the Zhu Hai Yun -- "Zhu Hai Cloud" -- capable of transporting an unspecified number of flying drones as well as surface and submarine craft, and operating autonomously thanks to artificial intelligence. The 89-metre (292-foot) ship would be operational by year-end with a top speed of 18 knots, vastly increasing China's surveillance potential of the vast Pacific area it considers its zone of influence. "The vessel is not only an unprecedented precision tool at the frontier of marine science, but also a platform for marine disaster prevention and mitigation, seabed precision mapping, marine environment monitoring, and maritime search and rescue," Chen Dake, lab director at the firm that built the carrier, told China Daily. Armies worldwide see drone squadrons as key players in combat, able to overwhelm defence systems by sheer numbers and without putting soldiers' lives at risk, such as with more expensive jets or tanks.

This article is a collaboration with David Gossett, Principal with Infornautics, who builds first mover technologies that have no instruction set and need to be invented from scratch. He believes data has a story to tell if we apply the right machine models. His specialty is unstructured data. This article is intended to be provocative, to summon curiosity into the issues that plague us today when it comes to machine learning. Three years ago, I wrote this article, Artificial Intelligence Needs to Reset. The AI Hype that was supposed to transpire into all-things automated is still far off. Since that time, we've experienced speed bumps that have pointed to issues including lack of model accountability (black boxes), bias, lack of data representation in the training set etc. An AI Ethics movement emerged to demand more responsible tech, increased model transparency and verifiable models that do what they're supposed to do without impairment or harm to individuals or groups, in the process. Our future is Artificial Intelligence. It's been conjectured that this wonderful AI will be our savior.

China has launched the world's first drone carrier, a vessel that will likely be used for military purposes. The ship, Zhu Hai Yun, can be controlled remotely to navigate autonomously in open water. Zhu Hai Yun, launched last week, has a wide deck equipped to carry dozens of unmanned vehicles including drones, unmanned ships and submersibles, reported the South China Morning Post. This also makes it a powerful platform to launch UAVs for military purposes, though Beijing claims the vehicle has been designed for marine research purposes. The drone mothership is expected to be commissioned by the end of the year after sea trials. According to the Chinese state-run Science and Technology Daily, the ship could be an "efficient tool in marine disaster prevention and mitigation, environmental monitoring and offshore wind farm maintenance besides delivering accurate marine information."

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. President Joe Biden is devoting his Saturday to cementing ties with South Korea and its new leader Yoon Suk Yeol as the two sides consult on how best to check the nuclear threat from North Korea at a time when there's little hope of real diplomacy on the matter. The division of the Korean peninsula after World War II has led to two radically different nations. In South Korea, Biden is touring factories for computer chips and next-generation autos in a democracy and engaging in talks for greater cooperation.

A small island in the South Pacific Ocean recently shot to fame by becoming the first territory on our planet to derive its energy needs from the Sun. Covering a small area of 10 square kilometers, Tokelau is a part of New Zealand and lies to the North of Samoan islands . Funded by the government of New Zealand, Tokelau spent about $7 million to put in place three solar grids that will now enable its 1500 residents to harness and utilize solar energy for their daily needs. Why spend $7 million for a power plant in the middle of nowhere you might ask! While the small island generates a small sum of $ 500,000 every year by selling agricultural produce, it spends over $2.8 million, most of which is spent of food and fuel.

GODDESS FAMILY CLUB-Congratulation! (Add Strings Version).flac

A senior director at Apple has quit his job in protest at the company demanding staff return to the office three days a week. Ian Goodfellow, the director of machine learning, is believed to be the most senior employee to resign so far as a result of the plan. On April 11, the company began mandating one day a week in the office - a requirement that rose to two days on May 2. By May 23, all staff had to be at their desks three days a week. A survey of Apple workers from April 13-19 found 67 percent saying they were dissatisfied with the return-to-office policy, Fortune reported. And Goodfellow, in his resignation note, said he would not do it.

In March, a largely overlooked, 90-page Government Accountability Office study revealed something interesting: This summer, the Pentagon is getting a new AI Strategy. Between shaping ethical norms for AI and establishing a new Chief Data and AI Officer, it's clear top brass have big plans for the technology, though the report is light on the details. Released in 2018, the last AI Strategy laid the scaffolding for the U.S. military's high-tech competition with China. But over the past four years one thing has become apparent: The United States needs a balanced approach to AI investment -- one that doesn't simply guard against threats, but also imposes costs on a Chinese force that sees AI as the key to victory. Undoubtedly, a military conflict between the United States and China would be catastrophic, and every effort must be taken to avoid such an outcome through diplomatic means.

Plastic waste dumped in landfill could be cleared sooner than expected, after engineers developed an enzyme that can break it down in just a few hours. Millions of tons of plastic is left abandoned every year, pilling up in landfills and pollution the land and waterways - typically taking centuries to degrade. A team from the University of Texas in Austin created a new enzyme variant that can supercharge recycling on a large scale, reducing the impact of plastic pollution. The work focusing on PET (polyethylene terephthalate), which is a polymer found in most consumer plastic including bottles, packaging and some textiles. The enzyme was able to complete a'circular process' of breaking down the plastic into smaller parts and chemically putting it back together in as little as 24 hours. They've called it FAST-PETase (functional, active, stable, and tolerant PETase), developed from a natural PETase that allows bacteria to degrade and modify plastic.

Glassdoor estimates the average salary for a Machine Learning Engineer at $131,001 USD. Indeed lists 2091 openings with an averMachine Learning Engineer age nationwide salary of $131,276 USD. The San Francisco Bay Area is the high-end of the salary range at $193,485 with Eden Prairie, Minnesota at $106,780. ZipRecruiter calculates the average US Machine Learning Engineer salary at $130,530. Our first pick is the Machine Learning Engineer -- learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker, Deep Learning Topics within Computer Vision and NLP, Developing Your First ML Workflow, Operationalizing Machine Learning Projects, and a Capstone Project -- Inventory Monitoring at Distribution Centers, Second, the Machine Learning with PyTorch Open Source Torch Library -- machine learning, and for deep learning specifically, are presented with an eye toward their comparison to PyTorch, scikit-learn library, similarity between PyTorch tensors and the arrays in NumPy or other vectorized numeric libraries,clustering with PyTorch, image classifiers, And third, AWS Certified Machine Learning -- AWS Machine Learning-Specialty (ML-S) Certification exam, AWS Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services, Machine Learning Modeling.