Tianjin, China – At a factory in China's north, workers are busy testing an automated vehicle designed to move bulky items around industrial spaces, one of a new generation of robots Beijing wants to shift the country's manufacturing up the value chain. The robot's Tianjin-based maker has received tax breaks and government-guaranteed loans to build products that modernize China's vast factory sector and advance its technological expertise. "The government is paying great attention to the manufacturing sector and the real economy -- we can feel that," said Ren Zhiyong, general manager of Tianjin Langyu Robot Co. China is backing R&D efforts by high-tech manufacturers like Langyu, driven by an urgent desire to reduce reliance on imported technology and reinforce its dominance as a global factory power, even as it cracks down on other parts of the economy. Beijing's pivot puts the focus on advanced manufacturing, rather than the services sector, to steer the world's second-largest economy past the so-called "middle income trap", where countries lose productivity and stagnate in lower-value economic output.

The FDA has authorized the marketing of Paige Prostate, an AI-based software platform to help pathologists identify prostate cancer when they review slide images from prostate biopsies.1 The standard biopsy review process involves the pathologist examining digitally scanned slide images from prostate biopsies to find areas that are suspicious for cancer. Paige Prostate provides a supplementary assessment of the image and locates the area with the highest probability of harboring cancer. The pathologist can then examine this specific area further if they did not identify it on their initial assessment. "Pathologists examine biopsies of tissue suspected for diseases, such as prostate cancer, every day. Identifying areas of concern on the biopsy image can help pathologists make a diagnosis that informs the appropriate treatment," Tim Stenzel, MD, PhD, director of the Office of In Vitro Diagnostics and Radiological Health in the FDA's Center for Devices and Radiological Health, stated in a press release.

Joe Biden made his début at the elegant green-marble rostrum of the United Nations this week, as the coronavirus infected more than half a million people each day worldwide, as wildfires and floods aggravated by climate change ravaged the Earth, and as the U.S. struggled to prevent a new cold war with China. In lofty language, the President tried to redirect the world's focus away from the calamitous end to America's longest war, in Afghanistan, and a recent bust-up with its most longstanding ally, France. Just eight months into his Presidency, Biden is already trying to hit reset on his foreign policy. "I stand here today for the first time in twenty years with the United States not at war. We've turned the page," Biden told the chamber.

Researchers have been investigating automated solutions for fact-checking in a variety of fronts. However, current approaches often overlook the fact that the amount of information released every day is escalating, and a large amount of them overlap. Intending to accelerate fact-checking, we bridge this gap by grouping similar messages and summarizing them into aggregated claims. Specifically, we first clean a set of social media posts (e.g., tweets) and build a graph of all posts based on their semantics; Then, we perform two clustering methods to group the messages for further claim summarization. We evaluate the summaries both quantitatively with ROUGE scores and qualitatively with human evaluation. We also generate a graph of summaries to verify that there is no significant overlap among them. The results reduced 28,818 original messages to 700 summary claims, showing the potential to speed up the fact-checking process by organizing and selecting representative claims from massive disorganized and redundant messages.

Modern quantitative finance is based around the approach of pattern recognition in historical data. This approach requires teams of scientists to work in a collaborative and regulated setting in order to develop models that can be used to make trading predictions. With the growing influence of this field, both participants and regulators are looking to put in place mechanisms to understand how and why models have been developed, for reasons such as regulatory compliance and model reproducibility. We refer to this tractability problem as lineage. The challenge of reproducibility and lineage in machine learning (ML) is three-fold: code lineage, data lineage, and model lineage.

Sepsis is a huge healthcare concern. "You take every single cancer and all the deaths due to every single cancer and you add them all up together. More people die from sepsis worldwide than that," said Bobby Reddy, Jr., CEO of Prenosis, in an interview with MD DI. And even if patients survive, they can have lifelong consequences. "Sepsis occurs when you have a very abnormal, unhealthy reaction to infection," Reddy said.

Activision Blizzard has confirmed an investigation by US regulators following allegations of sexual misconduct and discrimination at one of the world's most high-profile video game companies. The California-based company said on Tuesday that it was complying with a recent Securities and Exchange Commission subpoena sent to current and former employees and executives and the company itself on "employment matters and related issues". The Wall Street Journal had reported on Monday that the SEC was investigating how the company had treated complaints of sexual misconduct and workplace discrimination and had subpoenaed senior executives including the CEO, Bobby Kotick, a well-known tech billionaire. An SEC spokesman declined to comment. Activision Blizzard – the maker of popular video games including Candy Crush, Call of Duty, Overwatch and World of Warcraft – also said on Tuesday that it had cooperated with an Equal Employment Opportunity Commission investigation into employment practices and that it was working with multiple regulators "on addressing and resolving workplace complaints it has received" and that it was committed to making the company "one of the best, most inclusive places to work".

During the pandemic, technology companies have been pitching their emotion-recognition software for monitoring workers and even children remotely. Take, for example, a system named 4 Little Trees. Developed in Hong Kong, the program claims to assess children's emotions while they do classwork. It maps facial features to assign each pupil's emotional state into a category such as happiness, sadness, anger, disgust, surprise and fear. It also gauges'motivation' and forecasts grades.

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. NASA has added a pair of interactive experiences to the enthralling array of sights and sounds generated from the Mars 2020 mission. The new tools let you explore the planet from the comfort of your home. In one, called "Explore with Perseverance," you can follow the voyage of NASA's car-shaped rover through a 3D simulation of the planet.

Siemens Energy has launched a new solution for monitoring and responding to cyberthreats against the Industrial Internet of Things (IIoT). The industrial sector is undergoing a rapid shift from legacy, separate, on-the-floor systems to connected platforms that utilize IoT for maintenance, monitoring, and to collect data suitable for operations and future business decisions, in what is known as IIoT or Smart Factory (Industry) 4.0. However, when you create networks and bring devices online, you run the risk of allowing threat actors access unless adequate protection is in place. As IoT continues to accelerate and operational technology (OT) becomes smarter, companies need to make sure they manage and secure endpoints and industrial networks to mitigate the risk of damage, data theft, and disruption caused by external entities. On Tuesday, Siemens said a new offering, dubbed Eos.ii -- not to be confused with the blockchain protocol EOS.IO -- is an artificial intelligence (AI) and machine learning (ML) Security Information and Event Management (SIEM) platform that "provides CISOs with an evergreen foundation for industrial IoT cybersecurity."