Speech recognition or machine translation have entered the lives of millions of people but, to make the machine learning (ML) algorithms behind them work better, it takes a lot of annotated and structured data. One way to get this data is by creating your own using specialized tools, an approach for which Christophe Ré coined the term'Data Programming'. We now compare corpora annotated by hand and by humans as'Gold Standard' with'Silver Standard' data created semi-automatically by artificial means. While Ré's group has produced its own set of tools to do this (called'Snorkel'), we decided to address the problem from the angle of programming. Having spent many years doing research on formal grammars, I watched these so-called symbolic methods gradually decline in favour of statistical approaches.

These and many other insights are from Capgemini's Reinventing Cybersecurity with Artificial Intelligence Report published this week. Capgemini Research Institute surveyed 850 senior executives from seven industries, including consumer products, retail, banking, insurance, automotive, utilities, and telecom. Enterprises headquartered in France, Germany, the UK, the US, Australia, the Netherlands, India, Italy, Spain, and Sweden are included in the report. Please see page 21 of the report for a description of the methodology. Capgemini found that as digital businesses grow, their risk of cyberattacks exponentially increases.

Microsoft will invest $1 billion in OpenAI and work with the San Francisco-based Artificial Intelligence powerhouse to create a computational platform of "unprecedented scale" to accelerate the development of advanced forms of AI. The expanded partnership gives Microsoft and its Azure cloud platform an influential ally in its competition with Google, Amazon and other rivals in the high-stakes race to develop next-generation AI platforms and technologies. Microsoft CEO Satya Nadella has called out AI as a pivotal area for the future of the company. OpenAI was formed in 2016 by leaders including Elon Musk, the Tesla and SpaceX CEO; and Sam Altman, former president of the Y Combinator startup accelerator. Musk, who has sounded the alarm over the risks of AI, said in May that he was no longer involved inOpenAI.

A growing number of fintech services are specifically targeting retirees and seniors. From financial management to estate planning, here are the trends driving the nascent space forward. Fintech is often associated with digital tools targeted at tech-savvy millennials. But there is a growing market of fintech companies serving the unique financial needs of Baby Boomers and older retirees -- and for good reason. Q1'19 VC-backed fintech funding dropped but deals remained strong.

The planet of data and analytics is spreading its empire at a fast pace leading to digital innovation which is taking the industry by boom. The widespread of technology is creating a heap of opportunities for companies and individuals as well to excel in competitive tech-world. An array of assets contributes to the success of an organization. Other than technological resources, human force is also an evident bonus for a company and the person leading the squad catches the spotlight decorated with a variety of great responsibilities. With the quick advancement of disruptive technology in a developing economy like India, the leading business has become tougher than ever.

With a view to addressing the existing need for a sound analytical foundation for Machine Learning (ML) and Artificial Intelligence (AI), Indian Institute of Technology (IIT) Mandi is organising a workshop to train students and researchers on the issue. The workshop is being held with the collaboration of IIT Mandi, Control Society, and Council of Scientific and Industrial Research (CSIR) India from 22 to 26 July. The workshop on'Learning and Control' is a platform to discuss current advances in the field of Machine Learning and Artificial Intelligence and it is organised for the very first time. The objective is to enhance the knowledge of participants who want to become researchers and expert users of Machine Learning and Control Methodologies. The workshop is designed with a focus on senior B Tech students, research scholars and junior faculty from engineering institutes and colleges.

Transportation, the industry that deals with the movement of commodities and passengers from one place to another, has gone through several studies, researches, trials, and refinements to reach where it is now. One of the major milestones in the history of transportation was the steamboat in the year 1787. Prior to this, people relied on animal-drawn carts for their commute. Thereafter, major breakthroughs that led to the growth of the transportation industry were the invention of bicycles (early 19th century), motor cars (in the 1890s), trains (19th century), and aircrafts (1903). Today, the transportation sector has evolved to a level where vehicles can navigate and move without any human assistance.

In New York government news, state officials are examining the opportunities -- and risks -- posed by artificial intelligence. Gov. Andrew Cuomo, a Democrat, signed legislation this month that creates a 13-member commission tasked with reviewing the emerging technology and what it will mean for New Yorkers. Meanwhile, the ongoing scourge of opioid abuse is getting some attention with lawmakers announcing a series of public hearings to identify ways the state could do a better job of addressing the problem. While no one is predicting a robot uprising any time soon, state officials say they are concerned by how the rise of artificial intelligence and robotics could affect jobs, the delivery of government services and personal privacy. The New York State Artificial Intelligence, Robotics and Automation Commission, approved by lawmakers earlier this year, will also look at how A.I. could be used "in unlawful or unsafe ways."

Amazon.com Inc. sold more than 175 million products across the globe during its 48-hour Prime Day sales event a few weeks ago -- more than Black Friday and Cyber Monday combined. More than 10 million items qualified for next-day delivery. Making that happen depends on robots. "Speed is the name of the game right now," said Aaron Meyers, senior operations manager at Amazon's four-story fulfillment center in Shakopee, during a recent tour. "The technology allows us to be a lot more safe and efficient, and to get product to our customers much faster."

An artificial intelligence (AI) model could help identify patients at an increased risk of long-term mortality based on their chest X-rays, according to the findings of a study published in JAMA Network Open. The convolutional neural network, named CXR-risk, found that 53% of people it identified as very high-risk for future heart attack, lung cancer or death died over 12 years. In comparison, fewer than 4% of those whom CXR-risk identified as very low-risk died over 12 years. The model was developed and trained on data sets from two clinical trials -- Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO) and National Lung Cancer Screening Trial (NLST) -- and found that mortality rates for patients with very high-risk scores had an 18- (PLCO) and 15-fold (NLST) higher mortality rate compared to those in the very low-risk category. "This is a new way to extract prognostic information from everyday diagnostic tests," said Michael Lu, M.D., MPH, radiology department at Massachusetts General Hospital.