Decoding Foundation Models the Building Blocks of AI | NVIDIA Blog
Summarized by: Jordan Hayes [blogs.nvidia.com]
In a recent NVIDIA blog post, the pivotal role of foundation models in AI was highlighted. These neural networks, trained on vast datasets, are behind the generative AI revolution. Foundation models like the GPT series understand and generate human-like language, enabling applications in text, image, video creation, and speech synthesis. They perform tasks like language processing and code generation efficiently, without building new models from scratch. NVIDIA’s blog showcases models like Google’s Gemma and Meta’s Llama 2, and how NVIDIA GPUs enable fast, secure AI processing, democratizing access to powerful AI tools.
Humanoid Robots Being Tested at Mercedes-Benz
Summarized by: Jordan Hayes [www.iotworldtoday.com]
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Mercedes-Benz partners with Apptronik to deploy the humanoid robot Apollo in its manufacturing facilities. This marks Apollo’s commercial debut and Mercedes-Benz’s first venture into humanoid robotics. Apollo will handle tasks like assembly, inspection, and part delivery, aiming to augment human labor in automotive production. Touted as “the world’s most capable humanoid robot,” Apollo is human-sized, can carry 55 pounds, and is designed for mass manufacturing, energy efficiency, and supply chain resilience. This move signals a trend towards using humanoid robots in manufacturing to tackle labor shortages and boost production.
Is ChatGPT corrupting peer review? Telltale words hint at AI use
Summarized by: Jordan Hayes [www.nature.com]
A recent study highlights concerns over AI’s role in peer review, revealing up to 17% of computer-science conference reviews may be AI-altered. Analyzing 146,000 peer reviews, it found an uptick in AI-typical adjectives, suggesting reliance on these tools for drafting or editing. This raises questions about AI-generated content’s impact on the integrity of peer review and scientific evaluation. The study calls for transparency and a critical examination of AI in scientific publishing to preserve peer review’s integrity.
Mistral AI Floats New Mixtral 8x22B Generative AI Model as Free 281GB Download
Summarized by: Jordan Hayes [voicebot.ai]
Mistral AI’s Mixtral 8x22B, a generative AI with 22 billion parameters, outshines its predecessor, offering enhanced data processing and response generation. Amidst stiff competition, this model stands out with its vast 65,000 token context window and free 281GB download. Despite a low-profile launch, Mistral AI has drawn significant investment, including a $415 million Series A funding from Andreessen Horowitz, and partnership with Brave browser. This positions Mistral AI as a formidable player in the generative AI space.
Startups, make your dreams come true! Meet the 18 finalists for the 2024 LVMH Innovation Award
Summarized by: Jordan Hayes [www.lvmh.com]
LVMH has unveiled the 18 finalists for the 2024 LVMH Innovation Award, set to be showcased at Viva Technology from May 22-25. This year’s competition, emphasizing creativity, sustainability, and excellence, attracted over 1,545 entries from 89 countries, with a significant focus on data and generative AI. Notably, 44% of the finalists were founded or co-founded by women, spanning six categories including Omnichannel & Retail, Image & Media for Brand Desirability, Immersive Digital Experiences, Employee Experience, Diversity & Inclusion, Operations Excellence, and Sustainability & Greentech. The finalists will join the Maison des Startups LVMH business accelerator program, gaining access to LVMH’s luxury industry network. The awards ceremony on May 23 will select a winner for each category and a Grand Prize winner, to be announced by Bernard Arnault, CEO of LVMH.
United States Healthcare Generative AI Research Report 2024
Summarized by: Jordan Hayes [finance.yahoo.com]
The US Healthcare Generative AI Market is set to reach $4.56 billion by 2030, growing at a CAGR of 36.4%. This growth is fueled by the rising adoption of AI and the need for remote patient monitoring. Remarkably, 97% of medical data annually remains untapped, presenting an immense opportunity for generative AI. These technologies can synthesize new content, analyze data, and provide insights for medical imaging, personalized medicine, and drug discovery. Generative AI can also alleviate documentation burdens, generate medical notes, and enhance diagnostic capabilities, promoting AI integration in healthcare.
Artificial Intelligence in the Workplace
Summarized by: Jordan Hayes [www.shrm.org]
Artificial Intelligence (AI) is reshaping the workplace, offering opportunities to enhance organizations and human potential. SHRM’s “AI in the Workplace Playbook” delves into AI trends, talent acquisition, employee engagement, and policy regulations. It also examines generative AI’s impact on the workforce, with examples like UK pension plans and a Microsoft-AFL-CIO partnership. However, research indicates that generative AI’s productivity impact may vary, underscoring the need for strategic use.
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Technical details
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