Tiny deep learning has attracted increasing attention driven by the substantial demand for deploying deep learning on numerous intelligent Internet-of-Things devices. However, it is still challenging to unleash tiny deep learning's full potential on both large-scale datasets and downstream tasks due to the under-fitting issues caused by the limited model capacity of tiny neural networks (TNNs). To this end, we propose a framework called NetBooster to empower tiny deep learning by augmenting the architectures of TNNs via an expansion-then-contraction strategy. Extensive experiments show that NetBooster consistently outperforms state-of-the-art tiny deep learning solutions.

In contrast, one of the specific language-learning chatbots is LangAI, launched in March by Federico Ruiz Cassarino. Mr Ruiz Cassarino drew on his own experiences of learning English after moving from Uruguay to the UK. His English skills improved dramatically from speaking every day, compared to more academic methods. He's now using his own app to work on his Italian.

Two companies are coming together to develop humanoid robots with AI that will be able to perform jobs from manufacturing to healthcare professions. Not only is this emerging tech shaking up industries across the board, it's also stirring up a storm in the quest for youth. Scientists are working round the clock, using AI as their magic wand in their relentless search for natural compounds that can slow down the aging process. Mother Nature, being the generous lady she is, has filled her pantry to the brim with potential compounds. We might as well try to catch a cellphone signal in the middle of the Sahara.

When the demo for the remake of Resident Evil 4 dropped in March, one presiding concern stood above all others: Would Leon say "Where's everyone going? The line comes early in the game, right after our coiffured all-American hero has seen his police escort burned alive. Leon is about to be butchered by pitchfork and chainsaw-wielding Spanish farmers, but then a tolling bell suddenly psychically summons them away. The line is amazingly stupid, and if he doesn't say it, I thought after seeing news of the demo, I'm joining the mob outside the Capcom offices. The culture industry loves a remake; it also loves a reboot, a remaster, a sequel, a prequel, a multiverse, and a cinematic universe.

UK broadcaster Sky has unveiled a webcam device called Sky Live designed to add features like watch parties with friends, fitness and gaming features, the company announced. It attaches magnetically to the top of the company's Sky Glass smart TVs via USB-C and HDMI, and supports motion tracking for games and workouts, along with video calls, group chats and more. "Sky Live makes your TV much more than just a TV, by introducing new entertainment experiences for the heart of your home," said Sky global chief product officer Fraser Stirling in a statement. "Get active with motion control games, work out with body tracking technology, video call on the big screen and watch TV with loved ones – even from afar. And [with] our powerful Entertainment OS ecosystem, it will keep getting better with every update." The 12-megapixel webcam looks a bit like a mini Xbox One Kinect, with a rectangular design and lens on the right.

The battle over Reddit's API changes continues, even after coming into effect. Reddit's decision to charge for access to its API was supposedly aimed at companies scraping the website to train Large Language Models for generative AI, but the decision also affects thousands of third-party clients and apps that tie into the platform, including ones with powerful moderation tools not available on the main site and app. Thousands of communities protested the move by setting their subreddits private and making them inaccessible. Following the API changes, several popular subreddits that historically prohibited porn have started allowing users to post NSFW – Not Safe For Work – content. These communities include r/mildlyinteresting and r/videos.

CEO Rob Meadows and co-founder Lars Buttler discuss the benefits and concerns surrounding artificial intelligence. Executives behind the American artificial intelligence (AI) company AI Foundation are cautioning against implementing kill switches in machine systems, arguing that such a move could increase the chances of a superintelligence that is hostile toward human civilization. According to a new Yale CEO Summit survey, 42% of polled CEOs agreed that AI could potentially end humanity within five to ten years. In citing the study, AI Foundation CMO and Chair Lars Buttler said the debate around AI needs to be elevated and suggested that people react emotionally to the new technology because of a lack of understanding about what is happening behind the scenes. However, both Buttler and CEO Rob Meadows warned of several concerns surrounding the advancement of AI and the possible creation of an artificial general intelligence (AGI) capable of reasoning and decision-making equal to or beyond that of a human. "With AI, you will always have this accidental danger, these accidental problems, you know?

The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide. Understanding the global narrative surrounding this topic is crucial for researchers that aim to gain insights into its multifaceted dimensions. In this paper, we present a novel dataset that focuses on this topic by collecting and processing tweets posted by news or media companies on social media across the globe. We collected tweets from February 2022 to May 2023 to acquire approximately 1.5 million tweets in 60 different languages. Each tweet in the dataset is accompanied by processed tags, allowing for the identification of entities, stances, concepts, and sentiments expressed. The availability of the dataset serves as a valuable resource for researchers aiming to investigate the global narrative surrounding the ongoing conflict from various aspects such as who are the prominent entities involved, what stances are taken, where do these stances originate, and how are the different concepts related to the event portrayed.

In this technical survey, we comprehensively summarize the latest advancements in the field of recommender systems. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. The study starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems, and then delves into the category of knowledge-based recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. Finally, the study provides insights into the latest trends in the development of recommender systems and highlights the new directions for future research in the field.

The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digital video via open, tasks-based evaluation supported by metrology. Over the last twenty-one years this effort has yielded a better understanding of how systems can effectively accomplish such processing and how one can reliably benchmark their performance. TRECVID has been funded by NIST (National Institute of Standards and Technology) and other US government agencies. In addition, many organizations and individuals worldwide contribute significant time and effort. TRECVID 2022 planned for the following six tasks: Ad-hoc video search, Video to text captioning, Disaster scene description and indexing, Activity in extended videos, deep video understanding, and movie summarization. In total, 35 teams from various research organizations worldwide signed up to join the evaluation campaign this year. This paper introduces the tasks, datasets used, evaluation frameworks and metrics, as well as a high-level results overview.