Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR https://
buff.ly/4tI6ozr #AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Scaling Real-Time Voice Agents with Cache-Aware Streaming ASR
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From Entropy to Epiplexity: Rethinking Information for AI
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From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence Finzi et al.: https://
arxiv.org/abs/2601.03220 #ArtificialIntelligence #DeepLearning #MachineLearning -
LENS: Step-by-Step Visual Reasoning via Reinforcement Learning
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This AI could explain its visual reasoning before segmenting an object. Researchers from Huazhong University of Science & Technology and vivo present LENS. It's a new method that uses reinforcement learning to train a model to think step-by-step (like a chain of thought) about
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Reproducing Landmark AI Results Cheaply on Consumer Hardware
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Yeah, $10B is the difference in finding it first and ~5 years ago. 🙂 I just love reproducing landmark results for much cheaper, it's so fun! Reproducing LeCun 1989 was super fun too: https://
karpathy.github.io/2022/03/14/lec
un1989/
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What runs unoptimized on a consumer laptop in 1 minute was a state of -
Image Segmentation: Semantic, Instance, and Panoptic Types
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Image segmentation breaks an image into meaningful regions.
— Satya Mallick (@LearnOpenCV) 8 janvier 2026
This video explains the three main types:
• Semantic segmentation
• Instance segmentation
• Panoptic segmentation
Resources 📘
Semantic Segmentation (DeepLab v3+) → https://t.co/ytZJpGp7xT
Instance Segmentation… pic.twitter.com/j2YAoA4WmNImage segmentation breaks an image into meaningful regions. This video explains the three main types:
• Semantic segmentation
• Instance segmentation
• Panoptic segmentation Resources Semantic Segmentation (DeepLab v3+) → https://
vist.ly/4m4c5 Instance Segmentation -
Artificial Intelligence’s Cognitive Toll on Human Society
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Artificial Intelligence’s Cognitive Toll
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
AlphaFold revolutionizes drug discovery through genome-wide virtual screening
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In the post-AlphaFold era, drug discovery is on a tear
—Genome-wide virtual screening @ScienceMagazine https://
science.org/doi/10.1126/sc
ience.ads9530
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—Transforming the industry in many ways @TheEconomist https://
economist.com/leaders/2026/0
1/08/ai-is-transforming-the-pharma-industry-for-the-better?utm_content=ed-picks-image-link-3&etear=nl_weekly_3&utm_campaign=r.the-economist-this-week&utm_medium=email.internal-newsletter.np&utm_source=salesforce-marketing-cloud&utm_term=1/8/2026&utm_id=2153721
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Tunguz says developers don’t understand tabular data ML modeling
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No, they will still suck. None of the developers of these models understand what tabular data ML modeling is all about.
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How Finance Teams Deploy AI Today
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How finance teams are putting AI to work today
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
Core War Simulation and Interactive Redcode Visualization Tool
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In a sandboxed Core War environment, we can simulate our evolved “warriors” and visualize their behaviors.
— hardmaru (@hardmaru) 8 janvier 2026
The user can interactively visualize the assembly language (Redcode) of the warriors at where the mouse cursor is located.
GitHub Repo: https://t.co/vN19A68iOp pic.twitter.com/PnnZmDcTrLIn a sandboxed Core War environment, we can simulate our evolved “warriors” and visualize their behaviors. The user can interactively visualize the assembly language (Redcode) of the warriors at where the mouse cursor is located. GitHub Repo: https://
github.com/SakanaAI/drq