Category: Uncategorized
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Qwen 2.5 Models Released: Featuring Qwen2.5, Qwen2.5-Coder, and Qwen2.5-Math with 72B Parameters and 128K Context Support
The Qwen team from Alibaba has recently made waves in the AI/ML community by releasing their latest series of large language models (LLMs), Qwen2.5. These models have taken the AI landscape by storm, boasting significant capabilities, benchmarks, and scalability upgrades. From 0.5 billion to 72 billion parameters, Qwen2.5 has introduced notable improvements across several key… Read more
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SynSUM: A Synthetic Benchmark for Integrating Clinical Notes with Structured Data
Electronic Health Records (EHRs) present a wealth of information, combining structured tabular data and unstructured clinical notes. This valuable resource forms the foundation for training clinical decision support systems and automating diagnosis and treatment planning processes. While large language models (LLMs) can utilize unstructured text, they lack interpretability, an important factor in high-risk clinical applications.… Read more
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Palmer Luckey Is Bringing Anduril Smarts to Microsoft’s Military Headset
The founder of Oculus VR is returning to headsets—this time for the battlefield. Read more
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Kyutai Open Sources Moshi: A Breakthrough Full-Duplex Real-Time Dialogue System that Revolutionizes Human-like Conversations with Unmatched Latency and Speech Quality
The field of spoken dialogue systems has evolved significantly over the years, moving beyond simple voice-based interfaces to complex models capable of sustaining real-time conversations. Early systems such as Siri, Alexa, and Google Assistant pioneered voice-activated interactions, allowing users to trigger specific actions through voice commands. These systems, while groundbreaking, were limited to basic tasks… Read more
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DFDG: Enhancing One-Shot Federated Learning with Data-Free Dual Generators for Improved Model Performance and Reduced Data Overlap
Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ heuristics to create data resembling the original, while adversarial methods utilize adversarial learning to explore distribution spaces. One-Shot Federated Learning (FL) addresses communication and security challenges in standard FL setups, enabling collaborative model… Read more
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CollaMamba: A Resource-Efficient Framework for Collaborative Perception in Autonomous Systems
Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must work together to understand their environment more accurately and efficiently. By sharing sensory data among multiple agents, the accuracy and depth of environmental perception are enhanced, leading to safer and more reliable systems.… Read more
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US Senate Warns Big Tech to Act Fast Against Election Meddling
In an Intelligence Committee hearing with representatives from Google, Apple, and Meta on Wednesday, senators stressed that foreign influence is far from a solved problem. Read more
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Grounding LLMs in reality: How one company achieved 70% productivity boost with gen AI
Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to risk assessment.Read More Read more
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Why Jensen Huang and Marc Benioff see ‘gigantic’ opportunity for agentic AI
Already, progress in agentic AI is “spectacular and surprising,” moving faster and faster and getting into the “flywheel zone,” Huang says.Read More Read more
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AI-generated content doesn’t seem to have swayed recent European elections
AI-generated falsehoods and deepfakes seem to have had no effect on election results in the UK, France, and the European Parliament this year, according to new research. Since the beginning of the generative-AI boom, there has been widespread fear that AI tools could boost bad actors’ ability to spread fake content with the potential to… Read more