In this episode of "In the Interim…", Dr. Scott Berry and Dr. Kert Viele examine response-adaptive randomization (RAR) in clinical trials, dissecting its statistical rationale, common criticisms, and implementation challenges. Drawing on extensive experience with trials such as BAN2401 (lecanemab), ICECAP, dulaglutide seamless Phase 2/3, I-SPY2, REMAP-CAP, PROSPECT, and the historical ECMO trial, they discuss the scientific advantages and disadvantages and ethical impact. RAR reallocates

Key technical highlights covered in this session include:The "Fast Migration Lane": How the SDK provides a Flower-compatible client flow, allowing developers to migrate existing federated learning workloads to the Mohawk stack with minimal code changes,.High-Level API Surfaces: A breakdown of the specialized helpers for accelerators, gradient compression, and hybrid-proof policies, as well as the utility-ledger APIs for managing on-chain assets,.SDK Performance Benchmarks: An analysis of the v2.1.0

Key technical highlights covered in this session include:Distributed Layer Splitting: Moving beyond a single device to split large models across multi-node clusters, optimizing the execution path between available CPUs, GPUs, and NPUs.Model Parallelism at Scale: Understanding the strategies used to manage massive LLMs that exceed the memory capacity of a single node, utilizing the engine's high-concurrency session management to maintain throughput.PQC-Secured Edge Offloading: A deep dive into the

Key technical highlights covered in this session include:The Mohawk Inference Engine Architecture: An overview of this lightweight, secure engine engineered for multi-device layer splitting and PQC-secured edge offloading.Multi-Device Layer Splitting: A deep dive into how the engine optimizes model execution by distributing layers across different hardware backends (CPU, GPU, NPU) to maximize throughput and minimize latency.PQC-Secured Edge Offloading: Understanding the security protocols used when

Key technical highlights covered in this session include:Optimized Session Performance: An analysis of the NewHybridSession metrics, which achieve 582 – 1,278 ns/op for cached sessions and 767 – 1,062 ns/op for uncached ones, thanks to hashing and BTree optimizations.Scalable Connection Pooling: How the system supports 100+ concurrent connections through production-optimized pooling mechanisms to handle high-velocity requests.Enterprise-Grade Security: A look at the session authentication layer,

Key technical topics covered in this session include:The 10-Millisecond Benchmark: A deep dive into the performance metrics where the system achieves a mean verification time of 10.55 ms (~94.77 ops/s), fulfilling the criteria for "instant verifiability",.Hybrid Proof Policies: Analyzing the runtime selection between BN254 Groth16 zk-SNARKs, STARK-backed transcripts, or a hybrid mode to balance speed and cryptographic robustness,.Lean 4 Theorem 5 (Instant Verifiability): Examining the formal

Key technical topics covered in this session include:The 5/9 Threshold Analysis: A deep dive into why Ryan selected the 5/9 (approximately 55.5%) threshold for Byzantine Fault Tolerance, providing a more robust guarantee than traditional 1/3 models in high-scale federated learning.Theorem 1 BFT Formalization: Examining the Lean 4 source of truth (proofs/LeanFormalization/Theorem1BFT.lean) that defines the machine-checked proofs for this resilience.Multi-Krum Filtering at Scale: How the aggregator

1. The Power of Lean 4The system moves beyond traditional "paper-only" research by using Lean 4 to create machine-checked proofs.Source of Truth: The core formalization lives in the proofs/LeanFormalization.lean file, with modularized theorem components.CI Integration: A dedicated Lean CI gate (verify-lean-formalization) runs on every push to ensure that as the codebase evolves, the mathematical proofs remain valid.Theorem 1: The 5/9 Byzantine Guard Check: This is a concrete implementation of

The x25519-mlkem768 Hybrid KEX: A deep dive into why Ryan combines classical x25519 (Elliptic Curve Diffie-Hellman) with ML-KEM 768 to ensure cryptographic continuity and immediate protection against "harvest now, decrypt later" attacks.XMSS for TPM Identity: Understanding the transition to stateful hash-based signatures for TPM-rooted identity metadata, ensuring that node attestation remains valid even in a post-quantum world.Epoch-Based Ledger Migration: The mechanics of the 2027 cutover,

The Hierarchy of Trust: A deep dive into the four-layer architecture that hardens verification as updates move from the Edge Layer (local differential privacy) through the Regional (Byzantine filtering) and Continental (zk-SNARK verification) layers, up to Global finality.Post-Quantum Identity (XMSS): How the stack uses XMSS stateful hash-based signatures for TPM-backed identity metadata to ensure long-term, quantum-resistant attestation.Fail-Closed Security Policies: Analysis of the

Confidential Computing Architecture: How the system leverages AMD SEV-SNP, Intel SGX/TDX, and AWS Nitro Enclaves to protect sensitive model updates from compromised host OSs or hypervisors.Nanosecond-Scale Performance: An analysis of benchmarks showing that Federated Averaging executes in ~35–36 nanoseconds, while robust Multi-Krum selection takes only ~3.5 nanoseconds within the TEE.The Ingress Pipeline: Understanding the specialized data flow that moves packets from an XDP-like ingress view

The 224x Memory Reduction: A breakdown of how the Mohawk Protocol's streaming aggregation achieves this massive efficiency gain.Streaming vs. Monolithic Aggregation: The technical shift from loading massive, monolithic tensor payloads into memory to processing updates as a continuous stream of chunks.Scaling to 100M+ Nodes: How bounded working memory makes high fan-out participation feasible on commodity infrastructure by scaling with the window size rather than the global update size.Inline

We talk to Michał Zalewski (lcamtuf) about the vulnpocalypse and if we even need fuzzers anymore. This episode may be export controlled at a future date. Watch on YouTube: https://www.youtube.com/watch?v=uI9CSgB4p9o Transcript: https://securitycryptographywhatever.com/2026/06/14/facing-the-vulnpocalypse-with-lcamtuf https://github.com/google/aflhttps://www.reddit.com/r/claude/comments/1tqtenf/anthropic_said_today_that_mythos_is_coming_to_all/https://github.com/google/clusterfuzzhttps://en.wik...

In this episode of Room to Grow, Ali Martinez, Chief Program Officer for Math at Student Achievement Partners (SAP), joins Joanie and Curtis for a conversation about the math that matters. In the current era, math teachers face too much content and too little time to feel or be effective in allowing students the chance to learn math deeply. Aly shared information about SAP’s national initiative to identify essential mathematics content for high school, and to integrate data science competenci...

Lotte Harper is online and recording.Be a part of the Lotte Harper family. Learn daily about software operations, database, security, frontend JavaScript, HTML and CSS along with JS APIs, WebSocket consumers, WebRTC, machine learning (ML), artificial intelligence (AI) and rendering engines, as well as Python server backend logic with requests, PyPI packages, OpenCV, **** recognition, barcode scanning, video and audio editing and sync, podcasting, universal translation, blogging,

Lotte Harper is online and recording. Be a part of the Lotte Harper family. Learn daily about software operations, database, security, frontend JavaScript, HTML and CSS along with JS APIs, WebSocket consumers, WebRTC, machine learning (ML), artificial intelligence (AI) and rendering engines, as well as Python server backend logic with requests, PyPI packages, OpenCV, **** recognition, barcode scanning, video and audio editing and sync, podcasting, universal translation, blogging,

Key technical areas covered in this session include:The AF_XDP Advantage: How bypassing the traditional Linux kernel networking stack eliminates memory-copy overhead, enabling synthetic throughput of up to 98 GB/s for large payloads.Hardware and Tuning: A breakdown of the strict prerequisites for these speeds, including AF_XDP-capable NICs, and the critical role of hugepages and IRQ affinity tuning to minimize CPU jitter.The afxdp Rust Crate: An architectural look at the crate responsible for

那年想出但沒有出的期末考題？讓周董感到尷尬的統計矩陣？歡迎收聽 分享指教

Welcome to Voices of Mathematics, a podcast from the Mathematics Faculty at the University of Cambridge.From number theory and geometry to cosmology and quantum physics, join us to explore topics across pure and applied mathematics, mathematical statistics and theoretical physics. In this episode we talk to Richard Samworth, Professor of Statistical Science and Director of the Statistical Laboratory in the Department of Pure Mathematics and Mathematical Statistics (DPMMS). Richard Samworth's

Join Data Talks Payments Are About People: Innovation from the Digital South What does a journalist turned payments executive see that others miss? In this episode, Wolfgang Fengler sits down with Estelita Haas, Head of Market Intelligence and Product Marketing at Ebanx, a fast-growing Brazilian fintech unicorn now operating in 25+ countries across Latin America, Africa, and Asia. Estelita shares how her background reporting from Brazil's overlooked regions shaped her conviction that the most...