If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Artificial intelligence has long caused fear of job loss across many sectors as companies look for ways to cut costs, support workers and become more profitable. But new research suggests that even in STEM-based sectors like cybersecurity, AI simply can't replace some traits found only in humans, such as creativity, intuition and experience. There's no doubt, AI certainly has its place. And most business leaders agree that AI is important to the future success of their company. A recent survey found CEOs believe the benefits of AI include creating better efficiencies (62 percent), helping businesses remain competitive (62 percent), and allowing organizations to gain a better understanding of their customers, according to Ernst and Young.
In the past few years, Artificial Intelligence has become more and more ubiquitous in our everyday tech, and it shows no signs of going away, with investment into UK AI reaching --2.42bn in 2019. According to the Tech Nation Report 2020, looking at data from 2015-2019, the UK is third in the world for levels of AI investment, second by deal count, and the only country of the top 5 AI nations to have demonstrated consistent positive year-on-year growth for the last 5 years. A regular feature of sci-fi and sometimes horror, AI has often been forewarned as something to be afraid of, and while the ethical implications are something that need to be kept central to the development of AI, it--s not something that necessarily spells the end of days. So what exactly is Artificial Intelligence, what does it mean for the consumer and where do we expect it to go in the next few years? We asked some members of the public for their main concerns surrounding the technology, and asked some founders from our Applied AI 1.0 programme if they could clear up some of myths, misunderstandings and concerns. Mohammad Rashid Khan, Co-founder & CEO of Calipsa and Jamie Potter, Co-founder & CEO at Flexciton gave us their insights.--
As the world becomes increasingly digital, we are unlocking more value and growth than ever before. However, a challenge that governments, enterprises and well as individuals leveraging technology are constantly facing is the growing threat of cyberattacks that looms large over us. Cyber security solutions provider SonicWall's 2019 report revealed 10.52 billion malware attacks in 2018, a 217% increase in IoT attacks and 391,689 new variants of attack that were identified. What's more is that cyber criminals today are evolving with technology and upping their game. Such incidents don't just have the potential to bring businesses to a standstill but can also inflict serious damages to their resources and repute.
From food delivery and disinfecting offices to retail services and surgeries, robots are increasingly sharing our workplaces. How are enterprises adapting to the explosive growth in robotics and robotic systems? ZDNet and TechRepublic published a PDF ebook: Robotics in the enterprise to find out. In "Robotics in business: Everything humans need to know," ZDNet contributor Greg Nichols provides an executive guide to the technology and market drivers behind the $135 billion robotics market. ZDNet's Daphne Leprince-Ringuet investigates what work will look like as robots start mingling with humans in their workplaces in her feature, "The robots are coming, and this is how they will change the future of work."
Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enable the identification of biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. Despite the significant scientific advances achieved so far, most of the currently used biomedical AI technologies do not account for bias detection. Furthermore, the design of the majority of algorithms ignore the sex and gender dimension and its contribution to health and disease differences among individuals. Failure in accounting for these differences will generate sub-optimal results and produce mistakes as well as discriminatory outcomes. In this review we examine the current sex and gender gaps in a subset of biomedical technologies used in relation to Precision Medicine. In addition, we provide recommendations to optimize their utilization to improve the global health and disease landscape and decrease inequalities.
In July 2017, The State Council of China released the "New Generation Artificial Intelligence Development Plan," outlining China's strategy to build a US$150 billion Chinese AI industry in a few short years, and to become the leading nation in AI by the year 2030. Other nations followed suit quickly with national AI strategies of their own – with the US trailing behind by nearly two years before developing a semblance of an AI initiative. The proposed 2021 budget for the national security budget in the US is $740 billion – with a billions of dollars being earmarked for AI specifically (learn more: US Public Sector AI Opportunity Report). AI applications play a considerable role in the direction of technology development in many defense sectors, particularly in surveillance, intelligence gathering, reconnaissance, logistics, command and control, cyberspace, and information operations – but AI's relevance for national security is just as much in it's implications for the economy as it is for defense itself. This article is based on my presentation at the UNICRI / Shanghai Institutes for International Studies event Artificial Intelligence – Reshaping National Security – held in Shanghai. While I'm not able to embed my full slide deck from that presentation publicly, I am able to share some of the key ideas from my talk – with a focus on AI job loss and defense implications.
In a world of rapid change, artificial intelligence (AI) currently fuels most of this growth so it is no surprise that the next wave of great startups is based in AI solutions. With events like Covid-19, there is increased focus on solutions that tap into the extraordinary capabilities from AI. Something else unique is also happening. Generation Z (Gen Z) and the young millennial entrepreneurs are leading the way. Where are these innovators starting? One area where they are tapping into is a field everyone has had high hopes over the past few decades: robotics.
One kind of robot has endured for the last half-century: the hulking one-armed Goliaths that dominate industrial assembly lines. These industrial robots have been task-specific -- built to spot weld, say, or add threads to the end of a pipe. They aren't sexy, but in the latter half of the 20th century they transformed industrial manufacturing and, with it, the low- and medium-skilled labor landscape in much of the US, Asia, and Europe. You've probably been hearing a lot more about robots and robotics over the last couple years. That's because, for the first time since the 1961 debut of GM's Unimate, regarded as the first industrial robot, the field is once again transforming world economies. Only this time the impact is going to be broader. That's particularly true in light of the COVID-19 pandemic, which has helped advance automation adoption across a variety of industries as manufacturers, fulfillment centers, retail, and restaurants seek to create durable, hygienic operations that can withstand evolving disruptions and regulations.
Covid-19 has changed the course of healthcare for the foreseeable future. Healthcare workers, doctors' rooms, and equipment inventories were stretched thin even before the pandemic took hold, with patients waiting weeks or months to get a doctor's appointment or book a surgery. Today, these resources are nearing the breaking point. With physicians' offices and testing facilities closed for in-person appointments, and elective surgeries put on hold, it has become incredibly complicated for patients to find the care they need for pre-existing or non-Covid-19 health issues. They might not be able to see their usual doctor or maybe they're simply trying to find a provider for the first time.
Around the world, researchers in startups, academic institutions and online communities are developing AI models for healthcare. Getting these models from their hard drives and into clinical settings can be challenging, however. Developers need feedback from healthcare practitioners on how their models can be optimized for the real world. So, San Francisco-based AI startup Arterys built a forum for these essential conversations between clinicians and researchers. Called the Arterys Marketplace, and now integrated with the NVIDIA Clara Deploy SDK, the platform makes it easy for researchers to share medical imaging AI models with clinicians, who can try it on their own data.