I applaud Peter J. Denning's Viewpoint "Remaining Trouble Spots with Computational Thinking" (June 2017), especially for pointing out the subject itself is often characterized by "vague definitions and unsubstantiated claims"; "computational thinking primarily benefits people who design computations and . . . Moreover, the accompanying table outlined various historic definitions of "computational thinking," including a comparison of what Denning called the "new" and the "traditional" view of the subject. However, my own interest in computational thinking differs somewhat from Denning's. First, I question the legitimacy of the term "computational" itself. Why say it, when the very subject is "computers" and the chief academic approach to their study is "computer science"? If one looks at how computers are actually used, it may come as a surprise to learn that few such uses actually involve computing. For example, applications that deal with scientific and engineering problems are of ...

Algorithms are replacing or augmenting human decision making in crucial ways. People have become accustomed to algorithms making all manner of recommendations, from products to buy, to songs to listen to, to social network connections. However, algorithms are not just recommending, they are also being used to make big decisions about people's lives, such as who gets loans, whose résumés are reviewed by humans for possible employment, and the length of prison terms. While algorithmic decision making can offer benefits in terms of speed, efficiency, and even fairness, there is a common misconception that algorithms automatically result in unbiased decisions. In reality, inscrutable algorithms can also unfairly limit opportunities, restrict services, and even improperly curtail liberty.

Key Points – In today's increasingly interconnected world, hacks, breaches and malware attacks have become a way of life. Cybercrime is projected to cause $6 trillion in damages by 2021. Cybersecurity threats are growing at a record pace. Cybercrime is projected to cause more than $6 trillion in damages by 2021, and businesses are estimated to invest $1 trillion over the next five years to try to mitigate these threats. According to Bloomberg, security incidents increased by 40% in 2016 from the previous year, setting a new record.

With good humor and fantastic stories, Milo Jones take us through the history and virtues of AI, connecting it with leadership and presenting an optimistic future. Dr. Milo Jones has been a Visiting Professor at IE since 2008. In the past, he has worked for Morgan Stanley in New York, Accenture in London, and served as an officer in the United States Marine Corps. At IE Business School, he teaches "Geopolitics" and "Intelligence Tools for the Business Professional" in the MBA and MIAF programmes, and "Cyberintelligence" in the Masters in Cybersecurity programme. He is currently research the geopolitical impact of advances in AI and automation.

My visit to Japan has coincided with the 72nd anniversary of Hiroshima and Nagasaki nuclear bombings. On August 6, 1945, the nuclear bomb dropped by the Enola Gay Boeing B-29 exploded, killing an estimated 140,000 people. Three days later, the U.S. dropped the second bomb by the Bockscar B-29 on Nagasaki, killing an estimated 75,000. On the occasion of the 72nd anniversary ceremony about 50,000 people, including representatives from 80 nations, gathered at Hiroshima Peace Memorial Park. During the occasion, Japanese Prime Minister Shinzo Abe called for global cooperation to end nuclear weapons.

We take a look at categories where AI startups are beginning to emerge. A majority of them are in the early stages of funding. We take a look at categories where AI startups are beginning to emerge. A majority of them are in the early stages of funding. Artificial Intelligence is being hailed as the new linchpin of the tech industry.

The current year has seen an unprecedented amount of hacker/ransomware attacks on government as well as private enterprises spread all across the world. Shadow Brokers came in form this year by leaking alleged NSA tools, which included a Windows exploit known as EternalBlue. In May, WannaCry ransomware crippled hundreds of thousands of computers belonging to public utilities, large corporations, and private citizens. It also affected National Health Service hospitals and facilities in the United Kingdom. It was halted in its tracks by utilizing its flaws and activating a kill switch.

Pamela Fox, Woebot's chief technology officer, center, talks to Alison Darcy, Woebot's founder and chief executive, at the offices of the start-up in San Francisco. Pamela Fox, Woebot's chief technology officer, center, talks to Alison Darcy, Woebot's founder and chief executive, at the offices of the start-up in San Francisco. Fifty years ago, an MIT professor created a chatbot that simulated a psychotherapist. Named Eliza, it was able to trick some people into believing it was human. But it didn't understand what it was told, nor did it have the capacity to learn on its own.

The health ministry may set up a data center to analyze the genomes of dementia patients as part of efforts to better treat the brain disorder, ministry sources said Wednesday. Using artificial intelligence to interpret a vast amount of genome data, the full set of an person's genetic information, the facility would be the nation's first such hub, the sources said. The Ministry of Health, Labor and Welfare will request outlays to finance the project under the state budget for fiscal 2018. Dementia is caused when nerve cells in the brain die or fail, leading to impaired memory and judgment. Although slowing the progress is possible in some cases, there is no established treatment to address the root cause of the symptoms.

Demis Hassabis, founder of DeepMind, recently spoke out about his vision on how to reach the "next level," of artificial intelligence. His strategy is, predictably, to reconnect with the field of neuroscience, to study natural intelligence, in the hope of mimicking these processes inside the machine. While I have shortly cover my opinion on this before, I want to take another pass over this topic to see if the opinions of multiple high ranking experts are able to make me change my mind about human like artificial intelligence.