CybAI news - - Page 3025

01 Jun

Huge Power Demand for AI Is Keeping Polluting Coal Plants Alive

stp2y0 CommentsChat-GPT

"We need more energy, not less."Ripped Out of RetirementAI, which proponents say is humanity's future, is keeping the power infrastructure in the United States woefully in the past.As The Financial Times reports, the power demand required to keep energy-guzzling AI models running is moving back the country's plans to retire heavily polluting and non-renewable coal energy.According to the FT, major coal producers including AlliantEnergy have already moved sustainability goals by at least a few years. Electric utility company FirstEnergy also scrapped its 2030 goals entirely in February over demand concerns, as Bloomberg reported at the time.The moving of goalposts comes…

01 Jun

UALink: Google, Microsoft, Meta and More to Develop AI Chip Components

stp2y0 CommentsGenAI

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft are combining their expertise to create an open industry standard for an AI chip technology called Ultra Accelerator Link. The setup will improve high-speed and low latency communications between AI accelerator chips in data centres. An open standard will advance artificial intelligence/machine learning cluster performance across the industry, meaning that no singular firm will disproportionately capitalise on the demand for the latest and greatest AI/ML, high-performance computing and cloud applications. Notably absent from the so-called UALink Promoter Group are NVIDIA and Amazon Web Services. Indeed, the Promoter Group…

31 May

On the Convergence of Multi-objective Optimization under Generalized Smoothness

stp2y0 CommentsViral News

arXiv:2405.19440v1 Announce Type: new Abstract: Multi-objective optimization (MOO) is receiving more attention in various fields such as multi-task learning. Recent works provide some effective algorithms with theoretical analysis but they are limited by the standard $L$-smooth or bounded-gradient assumptions, which are typically unsatisfactory for neural networks, such as recurrent neural networks (RNNs) and transformers. In this paper, we study a more general and realistic class of $ell$-smooth loss functions, where $ell$ is a general non-decreasing function of gradient norm. We develop two novel single-loop algorithms for $ell$-smooth MOO problems, Generalized Smooth Multi-objective Gradient descent (GSMGrad) and its stochastic variant, Stochastic…

31 May

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests | Amazon Web Services

stp2y0 CommentsAI

The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. This means that individuals can ask companies to erase their personal data from their systems and from the systems of any third parties with whom the data was shared. Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find…

31 May

Children’s visual experience may hold key to better computer vision training

stp2y0 CommentsGenAIEducational Psychology; Infant and Preschool Learning; K-12 Education; Child Development; Computer Modeling; Computers and Internet; Mathematical Modeling; Computer Programming

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State. In the first two years of life, children experience a somewhat narrow set of objects and faces, but with many different viewpoints and under varying lighting conditions. Inspired by this developmental insight, the researchers introduced a new machine learning approach that uses information about spatial position to train AI visual systems more efficiently. They…

31 May

Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies

stp2y0 CommentsViral News

arXiv:2405.19424v1 Announce Type: new Abstract: Diffusion models (DMs) have emerged as a promising approach for behavior cloning (BC). Diffusion policies (DP) based on DMs have elevated BC performance to new heights, demonstrating robust efficacy across diverse tasks, coupled with their inherent flexibility and ease of implementation. Despite the increasing adoption of DP as a foundation for policy generation, the critical issue of safety remains largely unexplored. While previous attempts have targeted deep policy networks, DP used diffusion models as the policy network, making it ineffective to be attacked using previous methods because of its chained structure and randomness injected. In…

31 May

GamesBeat Summit 2024: How AI can be used to protect humans in games

stp2y0 CommentsChat-GPT

GamesBeat is excited to partner with Lil Snack to have customized games just for our audience! We know as gamers ourselves, this is an exciting way to engage through play with the GamesBeat content you have already come to love. Start playing games here. One of the topics that came up at GamesBeat Summit was the prevalence and potential of AI within the gaming sphere — especially Will Wright’s talk on the future of AI in game development. Another talk on the subject was with Kim Kunes, Microsoft’s VP of Gaming Trust & Safety, who had a fireside chat with…

31 May

Google’s AI Overviews Will Always Be Broken. That’s How AI Works

stp2y0 CommentsGenAIalgorithms, artificial intelligence, deep learning, google, machine learning, search, search engines

A week after its algorithms advised people to eat rocks and put glue on pizza, Google admitted Thursday that it needed to make adjustments to its bold new generative AI search feature. The episode highlights the risks of Google’s aggressive drive to commercialize generative AI—and also the treacherous and fundamental limitations of that technology.Google’s AI Overviews feature draws on Gemini, a large language model like the one behind OpenAI’s ChatGPT, to generate written answers to some search queries by summarizing information found online. The current AI boom is built around LLMs’ impressive fluency with text, but the software can also…

31 May

Ukraine’s sea drones vs. Russia’s Black Sea Fleet

stp2y0 CommentsRAG models

Ukraine is facing off against Russia's formidable Black Sea Fleet. How are Ukraine's cheap unmanned sea drones and Western missiles taking down Russian warships worth hundreds of millions of dollars? This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in. Source link lol

31 May

Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning

stp2y0 CommentsViral News

[Submitted on 29 May 2024] View a PDF of the paper titled Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning, by Everlyn Asiko Chimoto and 5 other authors View PDF HTML (experimental) Abstract:Neural Machine Translation models are extremely data and compute-hungry. However, not all data points contribute equally to model training and generalization. Data pruning to remove the low-value data points has the benefit of drastically reducing the compute budget without significant drop in model performance. In this paper, we propose a new data pruning technique: Checkpoints Across Time (CAT), that leverages early model training dynamics to…