In response to the challenging task of generating realistic 3D human-object interactions (HOIs) guided by textual prompts, researchers from Northeastern University, Hangzhou Dianzi University, Stability AI, and Google Research have introduced an innovative solution called HOI-Diff. The intricacies of human-object interactions in computer vision and artificial intelligence have posed a significant hurdle for synthesis tasks.…
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We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA. My journey to DeepMind... Throughout my undergraduate courses at the University of Cambridge, the inability to skilfully play the game of Go…
The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to achieve human-level intelligence. Their ability to produce remarkably coherent text and engage in dialogue after exposure to vast datasets seems to point towards flexible, general purpose reasoning skills. However, a growing chorus of…
The festive season should be a time for celebration and relaxation. Instead, small and mid-sized enterprises (SMEs) must prepare for a sudden onslaught of cyberattacks and social engineering attempts.
Cyber Threats Become More Severe During the Holidays
Cybercriminals view the holiday season as an opportunity to strike. When you’re busy with a sudden, massive…
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The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. But a major issue for them is to dive into a big pool of algorithms and find the most relevant ones.
This book (50 Algorithms Every Programmer Should Know) will help you…
LLMs have ushered in a new era of general-purpose vision systems, showcasing their prowess in processing visual inputs. This integration has led to the unification of diverse vision-language tasks through instruction tuning, marking a significant stride in the convergence of natural language understanding and visual perception.
Researchers from Johns Hopkins University, Meta, University of Toronto,…
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When I began my data science journey in grad school, I had a naive view of the discipline. Namely, I was hyper-focused on learning tools and technologies (e.g. LSTM, SHAP, VAE, SOM, SQL, etc.) While a technical foundation is necessary to be a successful data scientist, focusing too much on tools creates the “Hammer Problem”…
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Gemini is a new model developed by Google, and Bard is becoming usable again. With Gemini, it is now possible to get almost perfect answers to your queries by providing them with images, audio, and text.
In this tutorial, we will learn about the Gemini API and how to set it up…
The challenge of seamlessly translating textual prompts or spontaneous scribbles into intricate 3D multi-view wire art has long been a pursuit at the intersection of artificial intelligence and artistic expression. Traditional methods like ShadowArt and MVWA have focused on geometric optimization or visual hull reconstruction to synthesize multi-view wire art. However, these approaches often need…