Have you ever read or written an online review? The answer is probably yes, and many other consumers would agree. Business owners are also avid readers of online reviews, using this information to gauge customer satisfaction and steer product development. Now, there's a new type of audience looking through online reviews: an artificial intelligence platform called BERT. BERT, also known as Bidirectional Encoder Representation from Transformations, is a deep learning platform capable of language modelling.

Self-driving cars have countless obstacles to contend with on the road, chiefly drivers who don't always act predictably -- or responsibly. There's inclement precipitation and wind to worry about, plus jaywalking pedestrians and zippy electric bikes and scooters. That's not to mention alleyways and busy intersections that no amount of Google Maps data can elucidate. Perhaps it's not surprising, then, that Ghost Locomotion, a stealthy startup headed by former Yahoo CTO and Pure Storage cofounder John Hayes, isn't tackling a full stack autonomous car platform just yet. Instead, it's honing in on the task that constitutes two-thirds of all miles driven in the U.S.: highway driving.

The announcement was made during the American Medical Writer's Association (AMWA) annual conference in San Diego, California. TrialAssure's newest addition to its transparency suite, ANONYMIZE R, is intended for reports and documents, and it gives users the ability to apply rules that substitute information, reducing the possibility of a reader identifying a clinical trial patient. Using a powerful risk algorithm builder, ANONYMIZE R generates a re-identification risk score and produces a risk assessment report, ensuring that the anonymized document meets an acceptable risk threshold. "When clinical trial data and documents are released to the public or research community, they are often prepared through different channels and at different times – leading to inconsistencies in the anonymization process. These inconsistencies limit the value of the information, because they reduce the ability for other researchers to effectively analyze all the available data," said Zach Weingarden, Product Solutions Manager, TrialAssure.

World's most populous country lacks the one thing it needs to become an AI powerhouse: enough talented people

The symptoms of angina--the pain that occurs in coronary artery disease--do not differ substantially between men and women, according to the results of an unusual new clinical trial led by MIT researchers. The findings could help overturn the prevailing notion that men and women experience angina differently, with men experiencing "typical angina"--pain-type sensations in the chest, for instance--and women experiencing "atypical angina" symptoms such as shortness of breath and pain-type sensations in the non-chest areas such as the arms, back, and shoulders. Instead, it appears that men and women's symptoms are largely the same, say Karthik Dinakar, a research scientist at the MIT Media Lab, and Catherine Kreatsoulas of the Harvard T.H. Chan School of Public Health. Dinakar and his colleagues presented the results of their HERMES angina trial at the European Society of Cardiology's annual congress in September. Their research is one of the first clinical trials accepted at the prestigious conference to use machine learning techniques, which were used to characterize the full range of symptoms experienced by individual patients and to capture nuances in how they described their symptoms in a natural language exchange. The trial included 637 patients in the United States and Canada who had been referred for their first coronary angiogram, the gold-standard test to diagnose coronary artery disease.

Developing a master plan to transform John F. Kennedy International Airport in New York. Keeping beachgoers safe from polluted waters in New Zealand with advanced analytics. Those are just a few of the thousands of complex projects delivered each year by Mott MacDonald, a global engineering, management and development consulting firm headquartered in London. With 180 principal offices in 50 countries, the company helps solve some of the world's most urgent social, environmental and economic challenges. Because Mott MacDonald doesn't create physical products, its success relies on the knowledge and expertise of its 16,000 employees.

The first benchmark results from the MLPerf consortium have been released and Nvidia is a clear winner for inference performance. For those unaware, inference takes a deep learning model and processes incoming data however it's been trained to. MLPerf is a consortium which aims to provide "fair and useful" standardised benchmarks for inference performance. MLPerf can be thought of as doing for inference what SPEC does for benchmarking CPUs and general system performance. The consortium has released its first benchmarking results, a painstaking effort involving over 30 companies and over 200 engineers and practitioners.

According to a global study, in terms of women's advancements in the workforce, India is inconsistent due to various reasons. The study also revealed that while the participation of Indian women in the workforce is only 27 percent, they have a higher-than-average share in artificial intelligence skill set. The global provider of executive search, leadership assessment, and development, Heidrick and Struggles discovered that the country has an inconsistent history of the advancement of women due to cultural norms that fundamentally male-dominant and strongly favor males from birth. The gender inequality in India is hard to tackle which subsequently leads to a low 27 percent participation of women in the workforce. The report also revealed that the low participation rate is due to various cultural factors, as well as challenges faced by women in the workplace, including healthcare access, gender bias, and lack of flexible working opportunities.

Digitalization is making a relentless headway and transforming all kinds of industries and economic sectors, as a result of which many companies are assessing the most suitable technologies to invest in. To help them in their decision-making and implementation, the time has come for another IoTSWC (IoT Solutions World Congress), the international flagship event that will bring together more than 350 exhibitors, including the world's leading suppliers of IoT, artificial intelligence and blockchain solutions. It will also host a congress with over 300 speakers who will discuss the benefits of digitalization based on their experiences in different businesses, analyzing the challenges and new implications opening up in this era of smart connectivity. Organized by Fira de Barcelona in partnership with the IIC (Industrial Internet Consortium), the IoTSWC will be held from 29th to 31st October in Gran Via venue in the framework of Barcelona Industry Week. It's the largest international event devoted to the industrial internet and, throughout its history, has complemented its offering with other converging technologies that are accelerating the digital transformation of sectors such as transport, manufacturing, healthcare, energy, utilities, construction, infrastructure, retail, and agriculture, among others.

Nightfall (formerly Watchtower AI), a San Francisco-based provider of cloud data loss prevention solutions, today emerged from stealth with $20.3 million in funding led by Bain Capital Ventures and Venrock, with participation from Pear VC and Atlassian CTO Sri Viswanath. CEO Isaac Madan said the proceeds from this latest round will bolster Nightfall's R&D and market expansion. "Our mission at Nightfall is to build the control plane for cloud data, enabling enterprises to know what data they have across the cloud, and to proactively manage and protect that information," said Madan, who was previously with Venrock's investment division. Nightfall's eponymous platform monitors data flowing into and out of the services a customer uses, which machine learning algorithms classify as sensitive, personally identifiable (PII), noncompliant (with regulations like HIPAA and GDPR), or safe to share. Using a visual dashboard, admins can set up automated workflows for quarantines, deletions, alerts, and more that integrate with dozens of software-as-a-service (SaaS) platforms and APIs, and view analytics metrics like real-time and historical PII count by type.