Traditionally, 3d indoor datasets have generally prioritized scale over ground-truth accuracy in order to obtain improved generalization. However, using these datasets to evaluate dense geometry tasks, such as depth rendering, can be problematic as the meshes of the dataset are often incomplete and may produce wrong ground truth to evaluate the details. In this paper, we propose SCRREAM, a dataset annotation framework that allows annotation of fully dense meshes of objects in the scene and registers camera poses on the real image sequence, which can produce accurate ground truth for both sparse 3D as well as dense 3D tasks. We show the details of the dataset annotation pipeline and showcase four possible variants of datasets that can be obtained from our framework with example scenes, such as indoor reconstruction and SLAM, scene editing \& object removal, human reconstruction and 6d pose estimation. Recent pipelines for indoor reconstruction and SLAM serve as new benchmarks. In contrast to previous indoor dataset, our design allows to evaluate dense geometry tasks on eleven sample scenes against accurately rendered ground truth depth maps.

Feature As word of students using AI to automatically complete essays continues to spread, some lecturers are beginning to rethink how they should teach their pupils to write. Writing is a difficult task to do well. The best novelists and poets write furiously, dedicating their lives to mastering their craft. The creative process of stringing together words to communicate thoughts is often viewed as something complex, mysterious, and unmistakably human. No wonder people are fascinated by machines that can write too.

In Brief The squishy brains behind OpenAI's artificial ones are predicting developments like the ChatGPT system will see money flooding in – with a forecast of earning around $1 billion by 2024. According to an investors' briefing document seen by Reuters the machine-learning biz expects to break $200 million in revenues next year and bust through the billion mark 12 months later. Founded by, among others, Elon Musk and Y Combinator's Sam Altman, the outfit is currently valued at around $20 billion. Part of the reason for such prognostications could be an increased role from Microsoft. Redmond took a $1 billion stake in OpenAI in 2019 and is reportedly looking to increase its investment, with a view to rolling OpenAI's tools like ChatGPT into the software giant's suite of tools for knowledge workers.

Neuralink is reportedly being investigated by the US government for possibly mistreating animals in lab experiments as the company rushes to build an implantable brain chip. The startup, founded in 2016 by belligerent biz baron Elon Musk, is developing a medical device to help people afflicted with brain disorders to communicate, see, or move more easily. The Tesla tycoon said he wants to see the chips in humans next year. However, before Neuralink obtains permission to start conducting trials on humans from the Food and Drug Administration (FDA), it has to test the technology on animals to show it's safe enough for people to try. A lawsuit, filed in February by animal rights group the Physicians Committee for Responsible Medicine, accused the startup of killing monkeys after a series of sloppy surgical procedures to insert electrodes inside their skulls.

In brief OpenAI released a new language model named ChatGPT this week, which is designed to mimic human conversations. The model is based on the company's latest text-generation GPT-3.5 system released earlier this year. ChatGPT is more conversational than previous versions. It can ask users follow-up questions and refrain from responding to inappropriate inputs instead of just generating text. Some examples show ChatGPT won't provide dangerous advice when prompted and can try to correct wrong statements.

Moreover, the market is expected to register a robust CAGR of 22.3% over the next 10 years. Organizations may comprehend and automate processes using this analytical method. AI offers the much-needed efficiency to recognize and handle the intricacies of rapidly advancing technological innovation. From the strategic level through execution, AI consulting services assist firms in implementing and enhancing their AI capabilities. The increase in COVID-19 instances throughout the globe has highlighted the significance of AI in several businesses.

Losing someone you love can be hard. Being unable to share their presence, touch them, or talk to them again can be even harder. For years, technology has offered a way for the bereaved to stay connected to those they've lost, whether that's through photos or videos. Things can now go one step further, however, as artificial intelligence can now be used to'resurrect' the dead so you can have a conversation with them. READ NEXT: 150-year-old'time traveller' painting shows woman using an iPhone in shock discovery For just £8, you can pay to build a chatbot that mimics the behaviour of someone you've lost.

Everyone experiences grief at some point in their lives, whether it's when a relative, friend, or pet passes away.… Many often find comfort in keeping their memories of a loved one alive in some way. As technology progresses, a few have found solace in using artificial intelligence to reconnect with the dead. Generative AI offers imaginative ways to remember people's lives by simulating their likeness. The story of how one man primed a GPT-3-powered chatbot with text messages from his dead fiancée so that he could talk to her again went viral last year.

Scientific publishers such as the American Association for Cancer Research (AACR) and Taylor & Francis have begun attempting to detect fraud in academic paper submissions with an AI image-checking program called Proofig, reports The Register. Proofig, a product of an Israeli firm of the same name, aims to help use "artificial intelligence, computer vision and image processing to review image integrity in scientific publications," according to the company's website. During a trial that ran from January 2021 to May 2022, AACR used Proofig to screen 1,367 papers accepted for publication, according to The Register. Of those, 208 papers required author contact to clear up issues such as mistaken duplications, and four papers were withdrawn. In particular, many journals need help detecting image duplication fraud in Western blots, which are a specific style of protein-detection imagery consisting of line segments of various widths.

If Elon Musk's claims made during Tesla's shareholder meeting this week are accurate, get ready for that humanoid robot he promised, some self-driving software update, and an overhauled Cybertruck. Then again, this is Elon we're talking about. The tech tycoon's portion of Thursday's meeting consisted of a Tesla corporate update that included a lot of standard fare, such as news that the automaker's operations have reportedly produced more electricity than they've used and that the biz reached a 1.5 million annual vehicle production run-rate in June. Beyond that, Musk's predictions for his car company's short-term future are part lofty, part hard to believe. As is Musk's style, much of the talk was peppered with jokes – in this case about the upcoming version of Full Self-Driving (FSD) that, instead of being 10.12 or .13,