Matasoft

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Sapient Intelligence released Open-Sources Hierarchical Reasoning Model (HRM), a brain-Inspired architecture that solves complex reasoning tasks with just 27 million parameters! This might be a tectonic paradigm shift in AI development!
sapient.inc/blog/5?s=09
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Sapient Intelligence released Open-Sources Hierarchical Reasoning Model (HRM), a brain-Inspired architecture that solves complex reasoning tasks with just 27 million parameters! This might be a tectonic paradigm shift in AI development!
sapient.inc/blog/5?s=09
#AI #ArtificialIntelligence #HRM #LLM

Training AI Systems to Sense Smell through Data CogitoTech delivered 200,000+ hours of odor data annotation with 100% accuracy, building high-accuracy smell detection AI training datasets for fragrance recognition.

Teaching AI to Smell

At Cogito Tech, we helped a global fragrance AI pioneer make digital olfaction a scalable reality.

From intensity to pleasantness to perfume families, we labeled subjective scent data with scientific precision.

Read Full Story: shorturl.at/whG7J

Text Shot: All four Cogito v2 models are designed as hybrid reasoning systems: they can respond immediately to a query, or, when needed, reflect internally before answering. Crucially, that reflection is not just runtime behavior — it’s baked into the training process itself. These models are trained to internalize their own reasoning. That means the very paths they take to arrive at answers — the mental steps, so to speak — are distilled back into the models’ weights. Over time, they learn which lines of thinking actually matter and which don’t.

Deep Cogito goes big, releasing 4 new open source hybrid reasoning models with self-improving ‘intuition’ https://venturebeat.com/ai/deep-cogito-goes-big-releasing-4-new-open-source-hybrid-reasoning-models-with-self-improving-intuition/ #AI #reasoning #OpenSource

Open Cogito V2 source models have an automatic administration intuition Do you want smarter ideas in your entrance tray? Register in our weekly newsletters to obtain only what matters to the leaders of AI, data and business security. Subscribe now Deep Cogito, a research startup of the less known in San Francisco founded by former Googlers, has launched four new Open Large Language Models (LLM) That attempt that few others do: learn to reason more effectively over time and improve it on their own.

Open Cogito V2 source models have an automatic administration intuition

Do you want smarter ideas in your entrance tray? Register in our weekly newsletters to obtain only what matters to the leaders of AI, data and business security. Subscribe now Deep Cogito, a research startup of the less known…

Deep Cogito goes big, releasing 4 new open source hybrid reasoning models with self-improving ‘intuition’ Arora explains this as a difference between searching for a path versus already knowing roughly where the destination lies.

Deep Cogito goes big, releasing 4 new open source hybrid reasoning models with self-improving ‘intuition’

Arora explains this as a difference between searching for a path versus already knowing roughly where the destination lies.

#ai #news

Thread media

Deep Cogito (SF based startup founded by ex-Googlers) launches four open source advanced reasoning models with self-improving capabilities

Here are the key takeaways:

Deep Cogito emerges from stealth with hybrid AI ‘reasoning’ models A new company, Deep Cogito, has emerged from stealth with a family of openly available AI models that can be switched between “reasoning” and non-reasoning modes. Reasoning models like OpenAI’s o1 have shown great promise in domains like math and physics, thanks to their ability to effectively fact-check themselves by working through complex problems step […]

Thoughts on this? >> Deep Cogito emerges from stealth with hybrid AI ‘reasoning’
models >> Comment below! #healthtech #AI #IoT #mhealth #industry40

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Google's AI Master Plan in One Number With an $85 billion war chest, Google is waging an infrastructure arms race to own the physical foundation of the AI revolution.

Google's $85 Billion AI Push. Alphabet is spending $10 billion more than planned this year to build the physical foundations of artificial intelligence: massive data centers, custom-built chips, and ultra-fast networks.
https://gizmodo.com/googles-ai-master-plan-in-one-number-2000633631

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