How is it that we're able to look at a tree and see beauty, hear a song and feel moved, or take comfort in the smell of rain or the taste of coffee? How do we know we still exist when we close our eyes and lie in silence? To date, science doesn't have an answer to those questions. Forget phrase books or even Google Translate. New translation devices are getting closer to replicating the fantasy of the Babel fish, which in the "Hitchhiker's Guide to the Galaxy" sits in one's ear and instantly translates any foreign language into the user's own.

As we progress further into Industry 4.0, finance needs to further leverage new technologies to add real value to a business's bottom-line, yet it remains in its infancy stages. Industry 4.0 has impacted a range of industries, and with the digitisation of industrial value chains, many forget about finance, which has only touched the tip of the iceberg when it comes to leveraging new technologies. Disruptive technologies such automation, artificial intelligence (AI), the Internet of Things (IoT), Bots, blockchain and machine learning are thrusting the global economy into a new digital era. Instead of seeing all these new developments in isolation, finance must focus rather on connection points, finding ways to optimise them to provide greater value to the organisation. Companies risk losing ground if they do not understand the changes and opportunities Industry 4.0 brings.

Artificial intelligence has been the talk of the town these days. Frequent news updates and developments are being reported and a lot of organizations are trying to develop their own AIs and integrate them into their business structure. But is this a reality or just an availability bias? Well, reality states that only a few firms are successfully using AIs as compared to those struggling to reap its benefits. AI-based chatbots are very common in most organization's websites and customer care services. Machine learning has allowed these bots to improve their interaction with customers.

At AI Lab One we identified a gap in the AI Ecosystem in the region of The Hague. Governmental, non-governmental, academic, and private organizations in the region are becoming aware of the market and policy needs for AI and are working on largely overlapping ideas. In addition, the report is a comprehensive guide to the key players in the AI Ecosystem with examples of startups, scaleups, corporates, governmental bodies, NGOs, and communities. Click on the button below and fill in the form. You'll get it right in your mailbox!

At AI Lab One we identified a gap in the AI Ecosystem in the region of The Hague. Governmental, non-governmental, academic, and private organizations in the region are becoming aware of the market and policy needs for AI and are working on largely overlapping ideas. In addition, the report is a comprehensive guide to the key players in the AI Ecosystem with examples of startups, scaleups, corporates, governmental bodies, NGOs, and communities. Click on the button below and fill in the form. You'll get it right in your mailbox!

Artificial intelligence (AI) is rapidly entering health care and serving major roles, from automating drudgery and routine tasks in medical practice to managing patients and medical resources. As developers create AI systems to take on these tasks, several risks and challenges emerge, including the risk of injuries to patients from AI system errors, the risk to patient privacy of data acquisition and AI inference, and more. Potential solutions are complex but involve investment in infrastructure for high-quality, representative data; collaborative oversight by both the Food and Drug Administration and other health-care actors; and changes to medical education that will prepare providers for shifting roles in an evolving system. The flashiest use of medical AI is to do things that human providers--even excellent ones--cannot yet do. For instance, Google Health has developed a program that can predict the onset of acute kidney injury up to two days before the injury occurs; compare that to current medical practice, where the injury often isn't noticed until after it happens.2

Convenience store operator FamilyMart Co. has said it will allow its franchise owners across Japan to shorten operating hours from March, in a bid to address a severe labor shortage during late-night hours. Under the new policy, which will cover nearly 16,000 stores, franchise owners will be able to shut down for part or all of the period from 11 p.m. to 7 a.m. if they notify the headquarters in advance. "It is up to each of our franchise owners to make a decision" to end 24-hour operations, said Takashi Sawada, president of the company, at a news conference in Tokyo on Thursday. Store owners who want to cut operating hours would be able to choose to do so either every day or only on Sundays, according to firm, which is Japan's second-largest convenience store operator based on number of outlets. FamilyMart will also raise its monthly incentive to ¥120,000 ($1,100) from ¥100,000 for stores that maintain around-the-clock operations.

Senator Charles Schumer (D–NY) unveiled his artificial intelligence plan last week at a meeting of the National Security Commission on Artificial Intelligence. The top Democrat in the U.S. Senate wants the government to create a new agency that would invest an additional $100 billion over 5 years on basic research in artificial intelligence (AI). Senator Charles Schumer (D–NY) says the initiative would enable the United States to keep pace with China and Russia in a critical research arena and plug gaps in what U.S. companies are unwilling to finance. The proposal, which Schumer outlined publicly for the first time last week in a speech to senior national security and research policymakers gathered in Washington, D.C., reflects the growing interest in AI and related fields, including a recent presidential executive order. And being the minority leader gives Schumer the chance to turn his ideas into concrete action.

A study by the University of London and Vanson Bourne for WP Engine has concluded that transparency, trust and humanness are key drivers to unlock value in artificial intelligence (AI). The study, which surveyed consumers and enterprise companies with 1,000 employees or more in the US, the UK and Australia, found a large proportion of businesses are already well on their way towards widespread AI implementation. Chris Brauer, director of innovation at Goldsmiths, University of London, said: "Our research shows enterprises investing in AI are already seeing astounding return on investment and performance outcomes. Consumers are demanding that innovating with AI in digital experiences clearly prioritises and expresses values around privacy, trust, and transparency. "Only by laying a solid foundation of ethics and values that guide the implementation of all facets of an AI solution will companies truly be able to fully harness the value of AI." The study reported that 85.5% of businesses ...

Contestants at the Pwn2Own Tokyo 2019 took down an impressive number of high-profile products during the competition's first two days, including a Sony smartTV, Netgear router and an Amazon Echo Show 5. The two-day event paid contestants a total of $315,000 with Team Fluoroacetate, Amat Cama and Richard Zhu, being named Masters of PWN. Day One, November 6, saw more than $195,000 awarded for 12 bugs that were found. Overall, those participants had nine successful attempts against seven targets in five categories, several of which were new for 2019. The first day was dominated by the eventual event winners Team Fluoroacetate.