In 1950, Alan Turing proposed an imitation game as the ultimate test of whether a machine was intelligent: could a machine imitate a human so well that its answers to questions indistinguishable from a human. Ever since, creating intelligence that matches human intelligence has implicitly or explicitly been the goal of thousands of researchers, engineers, and entrepreneurs. The benefits of human-like artificial intelligence (HLAI) include soaring productivity, increased leisure, and perhaps most profoundly, a better understanding of our own minds. But not all types of AI are human-like. In fact, many of the most powerful systems are very different from humans. So an excessive focus on developing and deploying HLAI can lead us into a trap. As machines become better substitutes for human labor, workers lose economic and political bargaining power and become increasingly dependent on those who control the technology. In contrast, when AI is focused on augmenting humans rather than mimicking them, then humans retain the power to insist on a share of the value created. Furthermore, augmentation creates new capabilities and new products and services, ultimately generating far more value than merely human-like AI. While both types of AI can be enormously beneficial, there are currently excess incentives for automation rather than augmentation among technologists, business executives, and policymakers.

The concept of Cybersecurity has grown more critical in the past decade as computers and the Internet have become more and more integrated into people's daily lives around the globe. A cybersecurity attack occurs when someone manages to bypass the technological security measures designed to protect computers, networks, programs, and data from being accessed, modified, or destroyed by unauthorized parties. Cybersecurity attacks cost the average company about $4 million in damages, reported the Cybersecurity Ventures organization in 2011. Cybersecurity is a significant issue that needs to be addressed by every organization, from Hacking to other major security issues, and there is no doubt that we need some new technological methods to help ensure our security. However, AI and Machine Learning might be the solution.

Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use training data to learn how to respond to different situations. They learn by copying and adding additional information as they go along. This article reviews the positive and the negative impacts of AI on cybersecurity. Attacks are becoming more and more dangerous despite the advancements in cybersecurity.

The EU's police agency, Europol, will be forced to delete much of a vast store of personal data that it has been found to have amassed unlawfully by the bloc's data protection watchdog. The unprecedented finding from the European Data Protection Supervisor (EDPS) targets what privacy experts are calling a "big data ark" containing billions of points of information. Sensitive data in the ark has been drawn from crime reports, hacked from encrypted phone services and sampled from asylum seekers never involved in any crime. According to internal documents seen by the Guardian, Europol's cache contains at least 4 petabytes – equivalent to 3m CD-Roms or a fifth of the entire contents of the US Library of Congress. Data protection advocates say the volume of information held on Europol's systems amounts to mass surveillance and is a step on its road to becoming a European counterpart to the US National Security Agency (NSA), the organisation whose clandestine online spying was revealed by whistleblower Edward Snowden.

Kyiv, Ukraine – With their country's fate being discussed at this week's US-Russia talks, Ukrainians took to the streets over the weekend to defend their independence and champion an additional cause – that of Kazakhstan's protests. On Sunday, demonstrators in Kyiv and Kharkov, Ukraine's second largest city, held signs that read "Say no to Putin" and flew Kazakhstan flags alongside Ukrainian ones. Kazakhstan's blue and gold flag also appeared in the winter skies over Kyiv on Saturday, flown from a drone in an act of protest organised by Dronarium, an unmanned aerial vehicle enthusiast community known for political statements. "Every nation has the right to protect their socioeconomic and political rights through peaceful protest," said drone operator Vitaly Shevchuk."We After a week of violent protests that began over a hike in fuel prices and quickly spread across the country – leaving at least 164 dead, 2,000 injured and almost 6,000 arrested – a Russian-led military alliance has now restored control of Kazakhstan to the government. The Collective Security Treaty Organization (CSTO), an alliance of several former Soviet states, deployed about 2,500 troops to Kazakhstan to help quell the protest, including Russian paratroopers who are guarding "vital facilities and social infrastructure," a Russian Defence Ministry statement said. Critics have accused Russia of "occupation" over its involvement, with Kazakh Mukhtar Ablyazov, a former minister turned opposition leader, warning President Vladimir Putin will draw the country into "a structure like the Soviet Union" unless the West intervenes. Motivated more by their own hopes to defy Putin than in sharing a common cause with the protests, Ukrainians also urged resistance. "The dictator [Putin] wants to rebuild the USSR by force," said Olga Angelova, who was among the protesters in Kyiv. "He must be stopped – we Ukrainians will resist the occupiers.

This content can also be viewed on the site it originates from. In "His Master's Voice," a 1968 sci-fi novel by the Polish writer Stanisław Lem, a team of scientists and scholars convened by the American government try to decipher a neutrino signal from outer space. They manage to translate a fragment of the signal's information, and a couple of the scientists use it to construct a powerful weapon, which the project's senior mathematician fears could wipe out humanity. The intention behind the message remains elusive, but why would an advanced life-form have broadcast instructions that could be so dangerous? Late one night, a philosopher on the team named Saul Rappaport, who emigrated from Europe in the last year of the Second World War, tells the mathematician about a time--"the year was 1942, I think"--when he nearly died in a mass execution.

On a mission to move forward key technology milestones in Artificial Intelligence and Robotics, ARTPARK is closely working with various stakeholders to make the most of the technologies in education, healthcare, mobility, infrastructure, agriculture and various other sectors. Express Computer speaks to Umakant Soni, Founder and CEO, AI & Robotics Technology Park (ARTPARK).

Did you know that Bangladeshi girls and boys won four gold medals at the International Robot Olympiad (IRO) last month? Since 1999, girls and boys from around the world have been competing here every year with their amazing ideas and the robots they build. In 2021, Team Bangladesh won four gold, two silver, five bronze, and four technical medals at the IRO. This is an achievement that should encourage many more youngsters to enter the amazing world of robotics. As a nation, we should be proud and assured that amid myriad problems, we are producing intelligent youngsters--our first robot builders.

Supermaneuverability, in broad terms, refers to the complex forms of non-conventional maneuverability that are found in high-performance combat aircraft. This capability includes maneuvers such as the Pugachev cobra, Kulbit and Herbst maneuver [1-3]; as well as broader, competing, classifications of flight behavior, including rapid nose-pointing-and-shooting (RaNPAS), pure sideslip maneuvering (PSM) [4,5] and direct force Page 3 of 32 maneuvering (DFM) [6]. The development of supermaneuverable aircraft has been founded on advances in the study of unstable airframes, and the development of vectored propulsion technology [1,2]. Modern supermaneuverable aircraft remain characterized by these mechanisms; but increasing interdisciplinary contact with biological studies of maneuverability in flying creatures has led to parallel studies of an alternative, biomimetic, mechanism of supermaneuverability: one based on controlled wing morphing and motion. Thus far, biomimetic perching in unmanned aerial vehicles (UAVs) has been a central focus of these studies [7-9], with extensions into hover-to-cruise transition maneuvers [10], and incidence-based stall turns [11]. These maneuvers are primarily bio-inspired, and as such, studies of the biomimetic mechanism supermaneuverability have remained disjointed from studies of the thrust-vectored mechanism: the relationships between biomimetic and thrustvectored maneuvers, mechanisms, and capabilities are rarely recognized [3].

As the production of and reliance on datasets to produce automated decision-making systems (ADS) increases, so does the need for processes for evaluating and interrogating the underlying data. After launching the Dataset Nutrition Label in 2018, the Data Nutrition Project has made significant updates to the design and purpose of the Label, and is launching an updated Label in late 2020, which is previewed in this paper. The new Label includes context-specific Use Cases &Alerts presented through an updated design and user interface targeted towards the data scientist profile. This paper discusses the harm and bias from underlying training data that the Label is intended to mitigate, the current state of the work including new datasets being labeled, new and existing challenges, and further directions of the work, as well as Figures previewing the new label.