Emerging business technologies like AI, 5G/6G, and Quantum Computing are reshaping industries. Stephen J. Andriole's infographic highlights the fusion of sustainability, connectivity & innovation. Are you leveraging these trends? Follow Giuliano Liguori for more insights on
TECHNOLOGY
-

Mistral to unveil three new models next week
By
–
According to the 'Limits' page on Le Platforme, Mistral AI is set to release three new models (reportedly as early as next week). – mistral-large-2411 – Potentially a multimodal Large 2.1
– pixtral-large-2411
– mistral-moderation-2411 – A compact model for moderation -
Autonomous Vehicles Still Require Human Oversight for Safety
By
–
Mine makes more stupid mistakes like being in the wrong lane to make a turn. It is why it is “supervised.” Still gotta watch it and be ready to take over. Particularly if someone is following you closely.
-

iPhone Generates Over $1 Billion Revenue Every Two Days
By
–
17 years later, the iPhone makes over $1 billion in revenue every two days. v/
@JonErlichman -
AI-Powered Smart Glasses Set to Replace Traditional Eyewear
By
–
They will replace your existing glasses.
-
AI-Driven Smart Glasses Coming Next Year: Memory and Travel Uses
By
–
Like I told you. Next year AI-driven smart glasses are coming. Great for memory aides? Traveling? (Which is why I have been using multi-modal models in so many places). What else?
-

CRISPR Genome Editing Shows Promise for Amyloid Cardiomyopathy
By
–
CRISPR genome editing clicks for amyloid cardiomyopathy. New @NEJM #AHA24 https://
nejm.org/doi/full/10.10
56/NEJMoa2412309
… A Phase 1 study with marked reduction of serum TTR @dr_m_fontana @ucl -
Author shares seven technology books and insights
By
–
I wrote seven books on technology partly because of X. I share the best I see.
-
NVIDIA Brings cuDNN and cuBLAS to PyPI
By
–
@ptrblck_de and team at nvidia have been bringing cudnn, cublas etc. to PyPI.
-
PyTorch CUDA Dependencies Available via pip packages now
By
–
@_seemethere can answer a few of your questions, especially around analysis of usage.
pytorch pip packages don't need the cudatoolkit, and we've been working with NVIDIA (thanks to @ptrblck_de
) to have cublas, cudnn etc. available via pip as well.
