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NishMath - #innovation

Jibin Joseph@PCMag Middle East ai //
DeepSeek AI's R1 model, a reasoning model praised for its detailed thought process, is now available on platforms like AWS and NVIDIA NIM. This increased accessibility allows users to build and scale generative AI applications with minimal infrastructure investment. Benchmarks have also revealed surprising performance metrics, with AMD’s Radeon RX 7900 XTX outperforming the RTX 4090 in certain DeepSeek benchmarks. The rise of DeepSeek has put the spotlight on reasoning models, which break questions down into individual steps, much like humans do.

Concerns surrounding DeepSeek have also emerged. The U.S. government is investigating whether DeepSeek smuggled restricted NVIDIA GPUs via Singapore to bypass export restrictions. A NewsGuard audit found that DeepSeek’s chatbot often advances Chinese government positions in response to prompts about Chinese, Russian, and Iranian false claims. Furthermore, security researchers discovered a "completely open" DeepSeek database that exposed user data and chat histories, raising privacy concerns. These issues have led to proposed legislation, such as the "No DeepSeek on Government Devices Act," reflecting growing worries about data security and potential misuse of the AI model.

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References :
  • aws.amazon.com: DeepSeek R1 models now available on AWS
  • www.pcguide.com: DeepSeek GPU benchmarks reveal AMD’s Radeon RX 7900 XTX outperforming the RTX 4090
  • www.tomshardware.com: U.S. investigates whether DeepSeek smuggled Nvidia AI GPUs via Singapore
  • www.wired.com: Article details challenges of testing and breaking DeepSeek's AI safety guardrails.
  • decodebuzzing.medium.com: Benchmarking ChatGPT, Qwen, and DeepSeek on Real-World AI Tasks
  • medium.com: The blog post emphasizes the use of DeepSeek-R1 in a Retrieval-Augmented Generation (RAG) chatbot. It underscores its comparability in performance to OpenAI's o1 model and its role in creating a chatbot capable of handling document uploads, information extraction, and generating context-aware responses.
  • www.aiwire.net: This article highlights the cost-effectiveness of DeepSeek's R1 model in training, noting its training on a significantly smaller cluster of older GPUs compared to leading models from OpenAI and others, which are known to have used far more extensive resources.
  • futurism.com: OpenAI CEO Sam Altman has since congratulated DeepSeek for its "impressive" R1 reasoning model, he promised spooked investors to "deliver much better models."
  • AWS Machine Learning Blog: Protect your DeepSeek model deployments with Amazon Bedrock Guardrails
  • mobinetai.com: DeepSeek is a catastrophically broken model with non-existent, typical shoddy Chinese safety measures that take 60 seconds to dismantle.
  • AI Alignment Forum: Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
  • Pivot to AI: Of course DeepSeek lied about its training costs, as we had strongly suspected.
  • Unite.AI: Artificial Intelligence (AI) is no longer just a technological breakthrough but a battleground for global power, economic influence, and national security.
  • cset.georgetown.edu: China’s ability to launch DeepSeek’s popular chatbot draws US government panel’s scrutiny
  • neuralmagic.com: Enhancing DeepSeek Models with MLA and FP8 Optimizations in vLLM
  • www.unite.ai: Blog post about DeepSeek and the global power shift.
  • cset.georgetown.edu: This article discusses DeepSeek and its impact on the US-China AI race.
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Dean Takahashi@AI News | VentureBeat //
Recent breakthroughs are accelerating the progress in quantum computing. Researchers have experimentally recreated a fundamental theoretical model from quantum physics using nanographene molecules, paving the way for versatile research in quantum technologies. In another development, Irish startup Equal1 has unveiled the world's first silicon-based quantum computer, named Bell-1, which utilizes a hybrid quantum-classical silicon chip for accelerated quantum computing.

Meanwhile, Nvidia is constructing an accelerated quantum computing research center in Boston to integrate quantum hardware with AI supercomputers, aiming to tackle challenges like qubit noise and transform experimental processors into practical devices. Delft Circuits has also launched a turnkey High-Density Input/Output (HD I/O) system to address scalability bottlenecks in quantum computing connectivity. This system boasts 256 channels per module and modular expandability, offering a streamlined solution for connecting control electronics to Quantum Processing Units.

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References :
  • www.sciencedaily.com: Researchers have experimentally recreated another fundamental theoretical model from quantum physics, which goes back to the Nobel Prize laureate Werner Heisenberg. The basis for the successful experiment is made of tiny carbon molecules known as nanographenes.
  • The Next Web: Irish startup Equal1 unveils world’s first silicon-based quantum computer
  • Quanta Magazine: Quantum Speedup Found for Huge Class of Hard Problems
  • The Quantum Insider: NVIDIA’s Quantum Strategy: Not Building the Computer, But the World That Enables It
  • The Quantum Insider: Article on Singapore investing $24.5 million in quantum and supercomputing integration initiative.
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Matt Marshall@AI News | VentureBeat //
Microsoft is enhancing its Copilot Studio platform with AI-driven improvements, introducing deep reasoning capabilities that enable agents to tackle intricate problems through methodical thinking and combining AI flexibility with deterministic business process automation. The company has also unveiled specialized deep reasoning agents for Microsoft 365 Copilot, named Researcher and Analyst, to help users achieve tasks more efficiently. These agents are designed to function like personal data scientists, processing diverse data sources and generating insights through code execution and visualization.

Microsoft's focus includes securing AI and using it to bolster security measures, as demonstrated by the upcoming Microsoft Security Copilot agents and new security features. Microsoft aims to provide an AI-first, end-to-end security platform that helps organizations secure their future, one example being the AI agents designed to autonomously assist with phishing, data security, and identity management. The Security Copilot tool will automate routine tasks, allowing IT and security staff to focus on more complex issues, aiding in defense against cyberattacks.

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References :
  • Microsoft Security Blog: Learn about the upcoming availability of Microsoft Security Copilot agents and other new offerings for a more secure AI future.
  • www.zdnet.com: Designed for Microsoft's Security Copilot tool, the AI-powered agents will automate basic tasks, freeing IT and security staff to tackle more complex issues.
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