Hey I am on Medialย โขย 7m
Revolutionizing Hardware for AI/ML with Approximate Computing! Tired of over-engineered, power-hungry hardware that costs a fortune? At "ApproxSemi", weโre flipping the script! Our Vision: We design approximate hardware** that delivers 90% of the performance at 50% of the cost and power. Perfect for applications where 100% accuracy isnโt neededโlike surveillance, IoT, and edge computing. Why It Matters: Cost Savings Power Efficiency Sustainability Where We Excel: From smart cameras detecting intruders with 70-80% accuracy to AI chips that run cooler and cheaper, weโre redefining hardware design. The Opportunity : The AI/ML hardware market is booming but ripe for disruption. Weโre filling the gap with innovative, cost-effective solutions that scale. If youโre an investor or industry leader looking to back the next big thing in hardware, letโs talk! Weโre ready to pitch why "ApproxSemi" is the future.
#freelancerย โขย 1m
The โEntry-Levelโ AI Engineer Job Description of 2025 ๐จ HR today: > โWeโre looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning
See More| Technologist | ML ...ย โขย 6m
Machine Learning vs. Deep Learning: Whatโs the Real Difference? ๐คโก Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but theyโre not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr
See MoreGareeb Investorย โขย 11m
๐ฆพAI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Googleโs Gemini 1 and OpenAIโs ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware
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