This paper presents a new efficient black-box attribution method built on Hilbert-Schmidt Independence Criterion (HSIC). Based on Reproducing Kernel Hilbert Spaces (RKHS), HSIC measures the dependence between regions of an input image and the output of a model using the kernel embedding of their distributions. It thus provides explanations enriched by RKHS representation capabilities. HSIC can be estimated very efficiently, significantly reducing the computational cost compared to other black-box attribution methods.Our experiments show that HSIC is up to 8 times faster than the previous best black-box attribution methods while being as faithful.Indeed, we improve or match the state-of-the-art of both black-box and white-box attribution methods for several fidelity metrics on Imagenet with various recent model architectures.Importantly, we show that these advances can be transposed to efficiently and faithfully explain object detection models such as YOLOv4. Finally, we extend the traditional attribution methods by proposing a new kernel enabling an ANOVA-like orthogonal decomposition of importance scores based on HSIC, allowing us to evaluate not only the importance of each image patch but also the importance of their pairwise interactions.

This paper is the second in a planned series aimed at envisioning a path to safe and beneficial artificial intelligence. Building on the conceptual insights of "Common Sense Is All You Need," we propose a more formal litmus test for common sense, adopting an axiomatic approach that combines minimal prior knowledge (MPK) constraints with diagonal or Godel-style arguments to create tasks beyond the agent's known concept set. We discuss how this approach applies to the Abstraction and Reasoning Corpus (ARC), acknowledging training/test data constraints, physical or virtual embodiment, and large language models (LLMs). We also integrate observations regarding emergent deceptive hallucinations, in which more capable AI systems may intentionally fabricate plausible yet misleading outputs to disguise knowledge gaps. The overarching theme is that scaling AI without ensuring common sense risks intensifying such deceptive tendencies, thereby undermining safety and trust. Aligning with the broader goal of developing beneficial AI without causing harm, our axiomatic litmus test not only diagnoses whether an AI can handle truly novel concepts but also provides a stepping stone toward an ethical, reliable foundation for future safe, beneficial, and aligned artificial intelligence.

Users of the latest iPhone Pro models are just getting to grips with the functions of a mysterious black circle next to the cameras on the back of the latest iPhone models. A recent Reddit post with 1,400 upvotes saw a user circling the mysterious circle and asking simply, 'What's it for?' The circle is only found in the latest iPhone Pro models and certain iPad Pro models - and it's actually very useful, enabling some of the device's coolest apps and features. The dot, which is built into the camera array, is actually a LiDAR scanner (it stands for Light Detection and Ranging). The black'dot' can be seen here on an iPhone 14 Pro (Apple) The sensor enables the Measure app to work out people's height (Apple) Put simply, it's a depth sensor which uses lasers to work out how far away things are.

Nicholas Domnisch is the CEO & Partner of EES Health, an NYC-based software development agency empowering innovation in digital health. Since the release of ChatGPT, talk of artificial intelligence has taken over, and rightfully so. It presents a leap forward in our ability to automate processes and optimize cost efficiency. In the midst of a hype cycle, however, it is good to remain cautious. Do you remember when everyone got sucked into the NFT craze?

In this episode, Audrow Nash speaks to Dan Mantz, who is the CEO of the Robotics Education and Competition (REC) Foundation. The REC Foundation is a nonprofit that works with VEX Robotics to build int...

How long can a person go without sleep? The world record is apparently 11 days. However, when Randy Gardner set that record in 1965, he may have been awake during the time, but he was basically'cognitively dysfunctional'. If perhaps Gardner went beyond two weeks he would likely have died. Some animals appear to be awake all the time. Cetaceans) need to remain awake because they need to periodically come up to the surface to breathe oxygen.

Customer experience should be top-of-mind for any customer-facing business in the digital age. But as consumers increasingly take their interactions with brands online (and into the chat channel), how is it possible to keep up with their demands while providing a level of satisfaction on-par with what they have come to expect from human interaction. In a recent report, Gartner predicts that as soon as 2020, 40% of users will primarily interact with new applications that support conversational UIs with AI. By 2022, it is further expected that 20% of all customer service will be handled by conversational agents. These numbers should send a shock up the spine of any product managers who are not already actively engaged in either implementing or, at the very least, considering rolling out a conversational AI strategy within the next six months.

What would an adventure game designed by the world's most dangerous A.I. look like? A neuroscience grad student is here to help you find out. Earlier this year, OpenAI, an A.I. startup once sponsored by Elon Musk, created a text-generating bot deemed too dangerous to ever release to the public. Called GPT-2, the algorithm was designed to generate text so humanlike that it could convincingly pass itself off as being written by a person. Feed it the start of a newspaper article, for instance, and it would dream up the rest, complete with imagined quotes.

Here at Constructech we have been talking about the impact of emerging technologies for quite some time. Things like AI (artificial intelligence), ML (machine learning), big data, and blockchain are changing the way the construction industry does business. We have said this before, but at its core, the IoT (Internet of Things) is all about data--collecting, sending, and analyzing data as it relates to business, in this case construction projects. Naturally, certain areas of the business are riper for this type of innovation than others. For instance, there has been much talk about AI as it relates to scheduling.

How long can a person go without sleep? The world record is apparently 11 days. However, when Randy Gardner set that record in 1965, he may have been awake during the time, but he was basically'cognitively dysfunctional'. If perhaps Gardner went beyond two weeks he would likely have died. Some animals appear to be awake all the time. Cetaceans) need to remain awake because they need to periodically come up to the surface to breathe oxygen.