One of the most interesting demos at this week's Google I/O keynote featured a new version of Google's voice assistant that's due out later this year. A Google employee asked the Google Assistant to bring up her photos and then show her photos with animals. She tapped one and said, "Send it to Justin." The photo was dropped into the messaging app. From there, things got more impressive.

In a recent pilot study, researchers from the National University of Singapore (NUS) have shown that a powerful artificial intelligence (AI) platform known as CURATE.AI could potentially be used to customise training regimens for individuals to personalise learning and improve cognitive performance. Using performance data from a given person, CURATE.AI creates an individualised profile that enables cognitive training to be tailored to the individual's learning habits and competencies so as to enhance training effectiveness. Such dynamic AI-guided personalisation overcomes the current limited improvement produced by using traditional training methods which often involve repetitive behavioural exercises. The results of the study provide evidence that the CURATE.AI platform has the potential to enhance learning, and paves the way for promising applications for personalised digital therapy, including the prevention of cognitive decline. The research, led by Professor Dean Ho and Assistant Professor Christopher L. Asplund from the N.1 Institute for Health (N.1) of NUS, which was formerly the Singapore Institute for Neurotechnology (SINAPSE), was published in the journal Advanced Therapeutics on 22 May 2019.

From personal assistants to legal counsel on parking fines, artificial intelligence (AI) and machine learning (ML) have established their potential as disruptive technology that will alter industries. With each passing day, further discoveries enable AI to become more sophisticated and viable in our world. Naturally, like all things digital, AI has had a profound impact on digital marketing as well. From Google's RankBrain search engine algorithm to Amazon's personalized recommendations, it is powering the world's leading organizations and changing the face of the modern digital marketing landscape. Currently, I work as senior vice president of marketing at CUJO AI, an AI-driven network security and intelligence company.

One of lung cancer's most lethal attributes is its ability to trick radiologists. Some nodules appear threatening but turn out to be false positives. Others escape notice entirely, and then spiral without symptoms into metastatic disease. On Monday, however, Google unveiled an artificial intelligence system that -- in early testing -- demonstrated a remarkable talent for seeing through lung cancer's disguises. A study published in Nature Medicine reported that the algorithm, trained on 42,000 patient CT scans taken during a National Institutes of Health clinical trial, outperformed six radiologists in determining whether patients had cancer.

U.S. Senators Rob Portman (R-OH), Martin Heinrich (D-NM), and Brian Schatz (D-HI) today proposed the Artificial Intelligence Initiative Act, legislation to pump $2.2 billion into federal research and development and create a national AI strategy. The $2.2 billion would be doled out over the course of the next 5 years to federal agencies like the Department of Energy, Department of Commerce's National Institute of Standards and Technology (NIST), and others. The legislation would establish a National AI Coordination Office to lead federal AI efforts, require the National Science Foundation (NSF) to study the effects of AI on society and education, and allocate $40 million a year to NIST to create AI evaluation standards. The bill would also include $20 million a year from 2020-2024 to fund the creation of 5 multidisciplinary AI research centers, with one focused solely on K-12 education. Plans to open national AI centers in the bill closely resembles plans from the 20-year AI research program proposed by the Computing Consortium.

Microsoft's latest breakthrough could make DNA-based data centers possible

Much of the discussion of the fourth industrial revolution relates to the disruptive impact of artificial intelligence, robotics, biotech, and big data on the world of work and business. It could lead to huge gains in productivity, wealth creation and human happiness. Equally, it may kill millions of jobs, fuel social tensions, and widen inequality. Civil society's place in this massive societal shake-out, reckons Andy Haldane, is relatively unexplored – but it will be profound. Haldane, the Bank of England's chief economist, is regarded as a "maverick" thinker among central bankers on account not only of his views on banking and financial regulation, but society more widely: from poverty ("scarcity of money reshapes your brain and reshapes your decision-making") to the importance of trade unions.

BRUSSELS, BELGIUM – IBM today issued the following statement welcoming the Organization for Economic Cooperation and Development's (OECD) release of new Principles on Artificial Intelligence: "The OECD's Principles on AI provide sound policy guidance for governments and stakeholders around the world that are working to advance responsible, human-centred AI. IBM is proud to have contributed our deep AI expertise to their development, and we fully agree in our own guidance to governments with the OECD's view that AI must be fair, explainable and secure. We also support their emphasis on the need for greater investment in AI skills and research. "In the 1980s, OECD guidelines on data protection and privacy provided the essential, international foundation for privacy legislation enacted by many countries. The organization is well-positioned to provide a similar global basis for balanced and consistent approaches to AI policies that prioritize trust and maximize the benefits to society while mitigating risks.

All this additional hardware, systems, and infrastructure needs to be maintained. In addition, no system, especially a system as complex as this, works without issues from the get go. The maintenance and human capital required to support PTC is tremendous. Calculated to cost up to $22.5bn during the next 20 years2, PTC is the single-largest regulatory expenditure ever imposed on the industry by the Federal Railroad Administration (FRA), according to the Association of American Railroads (AAR). This economic burden will have tremendous effects across the entire supply chain lifecycle and affect every American household. Railroads haul roughly 35% of all U.S. exports and just about anything in your home likely rode the rails at one point in time3.

The explosion of emerging technologies such as artificial intelligence (AI) is dramatically changing the way businesses operate today. As businesses collect more and more data, the need for solutions to drive true value from that data grows in importance. AI, in conjunction with big data and analytics, can deliver that baseline value and go beyond traditional solutions to find deeper insights. In India, banks are fast moving in this direction and deploying AI-powered chatbots for their operations to gain better insights into their customers' usage patterns, offer customised products, help in detecting fraudulent transactions and improving operational efficiency amongst others. There is no denying that AI helps banks nurture their relationships through better interactions with their customers however, not without challenges.