Gartner Predicts Worldwide Chip Revenue Will Gain 33% in 2024

Gartner Predicts Worldwide Chip Revenue Will Gain 33% in 2024

It’s no secret the AI accelerator business is hot today, with semiconductor manufacturers spinning up neural processing units, and the AI PC initiative driving more powerful processors into laptops, desktops and workstations. Gartner studied the AI chip industry and found that, in 2024, worldwide AI chip revenue is predicted to grow by 33%. Specifically, the Gartner report “Forecast Analysis: AI Semiconductors, Worldwide” detailed competition between hyperscalers (some of whom are developing their own chips and calling on semiconductor vendors), the use cases for AI chips, and the demand for on-chip AI accelerators. “Longer term, AI-based applications will move out of…
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Adaptive In-conversation Team Building for Language Model Agents

Adaptive In-conversation Team Building for Language Model Agents

arXiv:2405.19425v1 Announce Type: new Abstract: Leveraging multiple large language model (LLM) agents has shown to be a promising approach for tackling complex tasks, while the effective design of multiple agents for a particular application remains an art. It is thus intriguing to answer a critical question: Given a task, how can we build a team of LLM agents to solve it effectively? Our new adaptive team-building paradigm offers a flexible solution, realized through a novel agent design named Captain Agent. It dynamically forms and manages teams for each step of a task-solving process, utilizing nested group conversations and reflection to…
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Two artificial intelligences talk to each other

Two artificial intelligences talk to each other

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team from the University of Geneva (UNIGE) has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a ''sister'' AI, which in turn performed them. These promising results, especially for robotics, are published in Nature Neuroscience. Performing a new task…
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Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

arXiv:2405.18515v1 Announce Type: new Abstract: Existing diffusion-based text-to-3D generation methods primarily focus on producing visually realistic shapes and appearances, often neglecting the physical constraints necessary for downstream tasks. Generated models frequently fail to maintain balance when placed in physics-based simulations or 3D printed. This balance is crucial for satisfying user design intentions in interactive gaming, embodied AI, and robotics, where stable models are needed for reliable interaction. Additionally, stable models ensure that 3D-printed objects, such as figurines for home decoration, can stand on their own without requiring additional supports. To fill this gap, we introduce Atlas3D, an automatic and easy-to-implement…
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Google Admits Its AI Overviews Search Feature Screwed Up

Google Admits Its AI Overviews Search Feature Screwed Up

When bizarre and misleading answers to search queries generated by Google’s new AI Overview feature went viral on social media last week, the company issued statements that generally downplayed the notion the technology had problems. Late Thursday, the company’s head of search Liz Reid admitted the flubs had highlighted areas that needed improvement, writing that “we wanted to explain what happened and the steps we’ve taken.”Reid’s post directly referenced two of the most viral, and wildly incorrect, AI Overview results. One saw Google's algorithms endorse eating rocks because doing so “can be good for you,” and the other suggested using…
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TripletMix: Triplet Data Augmentation for 3D Understanding

TripletMix: Triplet Data Augmentation for 3D Understanding

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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Google is putting more restrictions on AI Overviews after it told people to put glue on pizza

Google is putting more restrictions on AI Overviews after it told people to put glue on pizza

Liz Reid, the Head of Google Search, has admitted that the company's search engine has returned some "odd, inaccurate or unhelpful AI Overviews" after they rolled out to everyone in the US. The executive published an explanation for Google's more peculiar AI-generated responses in a blog post, where it also announced that the company has implemented safeguards that will help the new feature return more accurate and less meme-worthy results.Reid defended Google and pointed out that some of the more egregious AI Overview responses going around, such as claims that it's safe to leave dogs in cars, are fake. The…
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Dynamic video content moderation and policy evaluation using AWS generative AI services | Amazon Web Services

Dynamic video content moderation and policy evaluation using AWS generative AI services | Amazon Web Services

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. Popular use cases Advertising tech companies own video content like ad creatives. When it comes to video analysis, priorities include brand safety, regulatory compliance, and engaging content. This solution,…
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