AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
These speed gains are substantial. At 256K context lengths, Qwen 3.5 decodes 19 times faster than Qwen3-Max and 7.2 times ...
We have been building AI before it became mainstream. We were among the first in India to build speech-to-text systems for ...
Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
Morning Overview on MSN
AI model cracks yeast DNA code to turbocharge protein drug output
MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...
In an interview at the India AI Impact Summit, Ananth Nagaraj discusses Gnani.ai's shift from speech systems to voice-to-voice models, sector-specific AI and its plans under the IndiaAI Mission ...
Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...
AMD adds Day 0 support for Alibaba Qwen 3.5 on Instinct MI300X, MI325X, and MI355X with ROCm, enabling 256K context and multimodal AI.
News-Medical.Net on MSN
Harnessing AI to optimize the development of new protein manufacturing processes
Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
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