News

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Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models
Video world models, which predict future frames conditioned on actions, hold immense promise for artificial intelligence, enabling agents to plan and reason in dynamic environments. Recent ...
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2020 in Review: 10 AI Failures
The global artificial intelligence market is expected to top US$40 billion in 2020, with a compound annual growth rate (CAGR) of 43.39 percent, according to Market Insight Reports. AI’s remarkable ...
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DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...
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Apple Repurposes Large Language Models for Reinforcement Learning challenges in Embodied AI
Large Language Models (LLMs) have ushered in an era of unparalleled language understanding capabilities, raising the possibility of harnessing their prowess for complex embodied visual tasks. This new ...
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Global Survey of Autonomous Vehicle Regulations
Most people today realize it is only a matter of time before self-driving vehicles revolutionize our transportation and delivery systems. While breakthroughs in self-driving technologies have thus far ...
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Brain2Music: Unveiling the intricacies of Human Interactions with Music
Music is a universal language, transcending cultural boundaries worldwide. With the swift advancement of Large Language Models (LLMs), neuroscientists have shown a keen interest in investigating the ...
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Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?
Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...
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DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark
DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This ...
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Beyond Next-Token Prediction? Meta’s Novel Architectures Spark Debate on the Future of Large Language Models
A pair of groundbreaking research initiatives from Meta AI in late 2024 is challenging the fundamental “next-token prediction” paradigm that underpins most of today’s large language models (LLMs). The ...
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DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT
DeepSeek AI, a prominent player in the large language model arena, has recently published a research paper detailing a new technique aimed at enhancing the scalability of general reward models (GRMs) ...
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Microsoft’s Automatic Prompt Optimization Improves Prompts to Boost LLM Performance
In the new paper Automatic Prompt Optimization with "Gradient Descent" and Beam Search, a Microsoft research team presents Automatic Prompt Optimization, a simple and general prompt optimization ...
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Microsoft & Peking U’s WizardLM Enables LLMs to Automatically Mass-Produce Complex Instructions
Anyone who has ever assembled Ikea-like home furniture knows that step-by-step instructions make the task much easier. Recent studies have shown that large language models (LLMs) can also benefit from ...