Chris Matyszczyk is an award-winning creative director who now runs the consultancy Howard Raucous LLC. I've come with my lawyer, just in case. I'll admit I'm out of practice. The last time I was being interviewed for a job was certainly when America was still sane. Yet I never really prepared for particular questions to be asked. I merely feared that the first question would be: "Tell me a little about yourself."
At BlackBerry's analyst summit this week, a great deal of time was spent on the company's secure QNX operating system, its IVY platform for software management on cars, and other tools and utilities designed for the next generation of personal transportation. This conversation can't happen soon enough. A growing concern of mine is that automobile companies don't yet seem to fully understand the risk they are taking with platforms that aren't secure enough for products tied to human transportation and safety. Having someone hack your phone or PC is bad, but having someone hack your car could be deadly. So when the industry is talking about putting apps in cars, safety and security should be a far higher priority for many of the automotive OEMs than it seems to be.
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In brief Miscreants can easily steal someone else's identity by tricking live facial recognition software using deepfakes, according to a new report. Sensity AI, a startup focused on tackling identity fraud, carried out a series of pretend attacks. Engineers scanned the image of someone from an ID card, and mapped their likeness onto another person's face. Sensity then tested whether they could breach live facial recognition systems by tricking them into believing the pretend attacker is a real user. So-called "liveness tests" try to authenticate identities in real-time, relying on images or video streams from cameras like face recognition used to unlock mobile phones, for example.
The stock market is currently on the roughest losing streak since the start of the pandemic in 2020. The broad S&P 500 index is down 19% from its all-time high, putting it within a whisker of bear market territory. But the tech-centric Nasdaq-100 index is already there, with a loss of 28.3% since November 2021. While the investment picture might be nerve-wracking for many investors, history suggests down markets always eventually recover, so this might actually be a great time to put some money to work. Here's one fast-growing stock leveraging advanced technology, and it's worth considering because it's trading at an 88.9% discount to its all-time high, despite the company being highly profitable.
Anja Kaspersen and Wendell Wallach are senior fellows at Carnegie Council for Ethics in International Affairs. In November 2021, they published an article that changed the AI ethics conversation: Why Are We Failing at the Ethics of AI? Six months later, the questions the article raised are no closer to resolution. This article was a don't-hold-your-punches review on the state of AI ethics, with which I am in almost complete agreement. If we want to advance the AI conversation, this is still a good place to start. I've quoted a portion of their article, with my comments interspersed: While it is clear that AI systems offer opportunities across various areas of life, what amounts to a responsible perspective on their ethics and governance is yet to be realized.
Our advice columnists have heard it all over the years. Each Sunday, we dive into the Dear Prudie archives and share a selection of classic letters with our readers. For the past few months, my mom has been catfishing a guy online and I don't know what to do. Earlier this year, I decided to give online dating a try and signed up for a free online dating site. My mom was very supportive and interested in me finding someone, and, unbeknownst to me, created a fake profile to scope out the site.
AiM Future, a leader in embedded machine learning intellectual property (IP) for edge computing devices, announced it has joined the Edge AI and Vision Alliance. AiM Future is accelerating the transition from centralized cloud-native AI to the distributed intelligent edge. Its market-proven NeuroMosAIc Processor (NMP) family of machine learning hardware accelerators and software, NeuroMosAIc Studio, enables the efficient execution of deep learning models common to computer vision applications. "It is our company's pleasure to join the Edge AI and Vision Alliance," said ChangSoo Kim, founder, and CEO of AiM Future. "As a premier organization for technology innovators revolutionizing artificial intelligence across the edge computing spectrum, the partnership is a natural fit. It is clear AiM Future's vision of bringing the impossible to reality is shared by the Alliance and its ecosystem. The field of edge AI is rapidly advancing and partnerships are fundamental to addressing the many challenges and limitations of today's edge devices."
Investment in quantum technologies will grow from US$412mn in 2020 to US$8.6bn by 2027, according to research firm IDC. Organisations that get started now will have a significant competitive advantage over those that continue to wait until quantum computing is a proven technology. Nevertheless, the complexity of quantum hardware and software development are forcing organisations to invest significantly in elite quantum expertise just to explore quantum-possible use cases for their potential business value. Gordon Davey is Cloud Services (Microsoft) General Manager at SoftwareONE, a leading global provider of end-to-end software and cloud technology solutions. Davey said: "Quantum technologies within enterprises are expected to take off over the next five years, with forecasts estimating that the market will eventually be worth anywhere between $500mn to $29bn, according to IBM. The development of quantum computing is speeding up, and technology firms are partnering up with businesses to work on bringing out the first commercial applications. A great example of this is Goldman Sachs, who recently assembled a'full team dedicated to quantum computing', and JP Morgan, who is now looking to implement the use of quantum computers as well. Additionally, Willis Tower Watson has also partnered up with Microsoft to develop the potential of quantum computing."
Google is being sued over its use of confidential medical records belonging to 1.6 million individuals in the UK. The company's artificial intelligence arm, DeepMind, received the data in 2015 from the Royal Free NHS Trust in London for the purpose of testing a smartphone app called Streams. The claim is being brought by Andrew Prismall in a representative action in the High Court. It alleges that Google and DeepMind "obtained and used a substantial number of confidential medical records without patients' knowledge or consent". Why did Google get access to patient records?