Scalable Uncertainty Reasoning in Knowledge Graphs
arXiv:2605.16568v1 Announce Type: new
Abstract: Knowledge Graphs are pivotal for semantic data integration. The real-world data they model is often inherently uncertain. Within knowledge graphs, uncertainty manifests in three distinct levels: imprecise attribute values, probabilistic triple existen...
AI Weekly Issue #493: Meta hired $145B in capex and fired 8,000 people
Six days after we called $725B a bet on what no one wanted, the receipts started landing. Meta committed $145B to AI infrastructure the same week it began firing 8,000 people. Standard Chartered described its own cuts as replacing "lower-value human capital." Pope Leo XIV announced he'd co-launch hi...
EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
Modern large language models (LLMs) extend context lengths to millions of tokens, enabling coherent, personalized responses grounded in long conversational history. However, the Key-Value (KV) cache grows linearly with the extended dialogue history, causing the model’s memory footprint to quickly ex...
NVIDIA CEO Jensen Huang at Dell Technologies World: “Demand Is Going Parabolic, Utterly Parabolic”
Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs — while enterprise data queries are up to 3x faster with the Vera CPU. And 5,000 enterprises like Lilly, Samsung, and Honeywell are running AI worklo...
Vera Arrives: NVIDIA’s First CPU Built for Agents Lands at Top AI Labs
The first NVIDIA Vera CPUs arrived at three of the world's leading AI labs on Friday — Anthropic in San Francisco, OpenAI in Mission Bay, SpaceXAI in Palo Alto — followed by a delivery to Oracle Cloud Infrastructure in Santa Clara on Monday. NVIDIA Vice President of Hyperscale and High-Performance C...
SandboxAQ brings its drug discovery models to Claude — no PhD in computing required
Other venture-backed companies like Chai Discovery and Isomorphic Labs have raced to build better models. SandboxAQ is betting that the bigger obstacle is access, and that Claude solves it.
Meet MemPrivacy: An Edge-Cloud Framework that Uses Local Reversible Pseudonymization to Protect User Data Without Breaking Memory Utility
As LLM-powered agents move from research to production, one design tension is becoming harder to ignore: the more useful cloud-hosted memory becomes, the more private user data it exposes. Researchers from MemTensor (Shanghai), HONOR Device and Tongji University have introduced MemPrivacy, a framewo...
Stochastic Gradient Descent (SGD’s) Frequency Bias and How Adam Fixes It
Modern language models are trained on data with extremely uneven token distributions. A small number of words appear in almost every sentence, while many rare but meaningful tokens occur only occasionally. This creates a hidden optimization challenge: parameters associated with common tokens receive...
40 Advanced SQL Window Functions Every Data Scientist Must Know(with examples)
In the world of data science, SQL still remains the powerful tool for defining the data, data manipulation, data aggregation and data analysis. While basic SQL commands are very fundamental, and everyone knows about it. If you want to be the unique in the crowd then you should know advanced features...
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. When Google opens its doors tomorrow for its annual developer conference, I/O, it will do so as a clear third place in the foundation model race. A year ago, at G...
Elon Musk has lost his lawsuit against Sam Altman and OpenAI
Elon Musk's claim that he was mistreated by his OpenAI cofounders failed after nine California jurors decided in a unanimous verdict that his lawsuits had been filed too late.
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
The production trade-offs that only appear once your model is live.
The post Six Choices Every AI Engineer Has to Make (and Nobody Teaches) appeared first on Towards Data Science.
Why MCP servers keep losing to CLIs once the agent gets a terminal
The post One Flexible Tool Beats a Hundred Dedicated Ones appeared first on Towards Data Science.
I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.
Agent Skills Work but the Research Shows Most Teams Are Building Them Wrong
This post was originally published on The Nuanced Perspective and is being reposted here with the authors’ permission. Agent skills are everywhere right now. Atlassian built them into Rovo so agents can automatically triage Jira tickets, draft Confluence pages, and route service requests without any...
OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments
OpenAI and Dell partner to bring Codex to hybrid and on-premise environments, helping enterprises deploy AI coding agents securely across data and workflows.
NVIDIA Introduces a 4-Bit Pretraining Methodology Using NVFP4, Validated on a 12B Hybrid Mamba-Transformer at 10T Token Horizon
NVIDIA introduces a 4-bit pretraining methodology built around the NVFP4 microscaling format — combining selective BF16 layers, 16×16 Random Hadamard Transforms on Wgrad inputs, 2D weight scaling, and stochastic rounding on gradients — validated on a 12B hybrid Mamba-Transformer trained on 10 trilli...
AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices
arXiv:2605.15206v1 Announce Type: new
Abstract: Autonomous agents powered by large language models (LLMs) are increasingly used to automate complex, multi-step tasks such as coding or web-based question answering. While remote, cloud-based agents offer scalability and ease of deployment, they raise...