Guest Posts Strategy: 12 Tips For AI Overviews
In this episode Reuben Mattinson explains how guest‑posting has shifted from a link‑building tactic to a reputation‑focused strategy in the age of AI Overviews. He outlines twelve actionable tips, emphasizing the need for topical relevance, the end of the “first‑party loophole,” and rigorous backlink audits to avoid low‑quality “zombie” sites. The key takeaway is that citations from genuinely relevant, high‑reputation sites now drive visibility more than sheer link volume, and internal expertise should be leveraged to meet Google’s E‑E‑A‑T standards.
Technology Innovation Institute Launches Abu Dhabi Centre for Frontier Technologies with WEF
The Technology Innovation Institute (TII) announced a partnership with the World Economic Forum (WEF) to launch the Abu Dhabi Centre for Frontier Technologies, unveiled at Davos 2026. The Centre will join WEF’s Centre for the Fourth Industrial Revolution (C4IR) Global...
AI App of the Week: Vivun — The AI Sales Engineer That Actually Does the Work
Vivun’s AI sales teammate, Ava, is a generative‑AI assistant that prepares, participates in, and follows up on technical sales calls. Unlike typical chatbot tools, it uses a proprietary Sales Reasoning Model to surface real‑time insights and generate stakeholder‑specific materials. Enterprise...
Jaxmg Enables Scalable Multi-GPU Linear Solves Beyond Single-GPU Memory Limits
JAXMg introduces a multi‑GPU linear‑algebra library that plugs cuSOLVERMg directly into the JAX ecosystem, delivering JIT‑compatible solvers for dense systems. By using a 1‑D block‑cyclic distribution and peer‑to‑peer GPU transfers, it overcomes single‑GPU memory caps and scales across up to...
Quantum Networks Achieve Accurate PDE Solutions, Advancing Physics-Informed Neural Networks
Scientists from the German Aerospace Center unveiled quantum‑enhanced physics‑informed neural networks (qPINNs) that fuse variational quantum circuits with classical layers to solve nonlinear partial differential equations. In benchmark experiments qPINNs achieved comparable mean‑squared‑error to classical PINNs while requiring roughly ten‑fold...
SEO First: Why Generative Engine Optimisation Depends on Strong Foundations
The episode explains that e‑commerce brands must treat SEO as the essential foundation for AI‑driven search, using technical SEO, clear site architecture, unique product content, and internal linking before tackling Generative Engine Optimization (GEO) and AI Optimization (AIO). It stresses...
Yann LeCun Launches AMI Labs to Build ‘World Model’
Yann LeCun, Meta’s former chief AI scientist, has founded AMI Labs, a Paris‑based startup dedicated to building “world models” that understand physical reality. Unlike large language models, these models will be trained on video and sensor streams to embed common‑sense...
OpenAI API Unit Adds $1 Billion in Annual Recurring Revenue
OpenAI announced its API unit generated over $1 billion in annual recurring revenue in the past month. The API powers third‑party developers such as Perplexity and legal‑tech startup Harvey, cementing its role as core infrastructure. The revenue boost arrives as the...
Llms Achieve 206% Improvement with Codified Expert Knowledge for AI Agents
Researchers at Siemens and Eindhoven University unveiled a software‑engineering framework that captures human expert knowledge and embeds it into large language models using a request classifier, Retrieval‑Augmented Generation, and thousands of codified rules. The augmented LLM generated simulation‑data visualisations with...
Mixture of Experts Vision Transformer Achieves High-Fidelity Surface Code Decoding
Researchers introduced QuantumSMoE, a vision‑transformer‑based decoder that integrates a mixture‑of‑experts (MoE) layer to tackle surface‑code error correction. By embedding the toric code’s geometry through plus‑shaped patches and adaptive masking, the model captures local lattice interactions while maintaining global context. Experiments...
Lumos Achieves Efficient Fluorescent Molecule Design with Data-Physics Driven Generative Frameworks
Researchers introduced LUMOS, a data‑physics driven framework that directly links molecular specifications to fluorescent structures, bypassing traditional generate‑and‑screen cycles. By coupling a generative model with fast TD‑DFT‑based predictors in a shared latent space, LUMOS can simultaneously optimise multiple optical and...
Beyond the Relationship: How “Human + Data Intelligence” Is Winning the Next Generation of APAC Wealth
Bloomberg’s 2025 Asia Private Wealth Survey shows technology has become the primary growth lever for APAC wealth firms, with 41% of leaders ranking it above relationship factors. A generational shift toward Gen X and Millennial investors is driving demand for real‑time,...
Uav-Deployed QKD Achieves Finite-Key Security with AI-Assisted Calibration
Researchers have introduced a unified channel model for orbital angular momentum (OAM) encoded BB84 quantum key distribution on unmanned aerial vehicles, accounting for Kolmogorov turbulence, pointing misalignment, and aperture clipping. By integrating weak‑plus‑vacuum decoy‑state techniques with a physics‑informed AI module...
Rank Tracking In 2026: 10 Tips For The AI-First Era
The episode explains how rank tracking has become a strategic, data‑driven asset in the AI‑first search landscape of 2026, where zero‑click results and AI Overviews dominate. It highlights the need to monitor new metrics such as citation status, visual rank,...
Can AI Truly Provide Emotional Value? Decoding the Emerging Spectrum of Digital Personas
The episode explores how AI is shifting from pure efficiency to delivering emotional value, urging brands to evolve into AI personalities that foster trust and companionship. It outlines a spectrum of digital personas—from night‑time healers offering psychological support to career...
What Do Successful AI Startups Do Differently From the Start?
The episode explains that successful AI startups win by building diverse, inclusive teams that can spot design flaws and market needs, validating real, painful user problems before coding, and treating AI as the core engine of their business rather than...
Integrated Quantum Technologies’ AIQu VEIL™ Redefines Scalable, Privacy-Preserving AI
Integrated Quantum Technologies launched AIQu VEIL™, a quantum‑resilient AI platform that processes only anonymized, compressed data via its proprietary Informationally Compressive Anonymization (ICA) technology. The solution promises enterprise‑scale AI performance without exposing raw data, sidestepping the computational penalties of homomorphic encryption...
Governing Cybersecurity in the AI Era -Pwc Workshop 2026
PwC‑affiliated firm A.F. Ferguson & Co. hosted a one‑day masterclass titled “Governing Cybersecurity in the AI Era – Digital Trust, Risk & Resilience” on 22 January 2026 in Karachi. More than 100 senior technology and business leaders, including CISOs, CIOs and CFOs,...
OpenAI Builds Secret Robotics Lab to Train Household Agents
OpenAI has quietly opened a secret robotics laboratory in San Francisco, reviving a hardware division it shut down in 2020. The facility employs about 100 contractors who train Franka robotic arms to perform everyday household chores. Data collection runs 24‑hour...
Kasada Launches AI Agent Trust to Secure Agentic Commerce
Kasada, a bot management and fraud protection company, unveiled AI Agent Trust, a solution designed to secure automated traffic on digital commerce sites. The platform provides a searchable directory that verifies AI agents and lets brands apply policy‑based controls to...
Alibaba Prepares IPO for AI Chip Unit T-Head
Alibaba is preparing an initial public offering for its semiconductor subsidiary T‑Head, which builds processors for data‑center and artificial‑intelligence workloads supporting Alibaba Cloud. The company will first restructure the unit to grant employee ownership, a step aimed at aligning incentives...
When Trust Is Everything: Building AI for Physicians at Healio
Healio, a 125‑year‑old medical publishing firm, launched Healio AI – an assistant that helps physicians prepare for patient encounters. A survey of 300 clinicians revealed doctors wanted support with patient communication more than diagnostic answers. The team built a functional...
New AI Method Revolutionises the Design of Enzymes
Researchers at TU Graz and the University of Graz unveiled Riff‑Diff, a novel AI‑driven platform that builds enzyme scaffolds directly around a chosen active centre. The method combines generative models like RFdiffusion with atomistic refinement, achieving angstrom‑level precision and producing enzymes...
Neural Networks Advance Hadronic Physics Via Data-Driven Quantum Model Selection
Researchers introduced a "quantum qualifier" metric to decide when quantum‑enhanced deep neural networks (QDNNs) should replace classical deep neural networks (CDNNs) in hadronic physics analyses. Applied to deeply virtual Compton scattering data, the qualifier evaluates data complexity, noise, and dimensionality,...
AI Managing AI
Recent advances have pushed tool‑calling accuracy for large language models past the 90% mark, a dramatic leap from the sub‑50% success rates seen two years ago. This improvement is driven by trillion‑parameter models that excel at context‑rich orchestration, while smaller...
Quantum Kernel Machine Learning Achieves Materials Discovery with Less Data
Researchers applied quantum‑kernel machine learning to autonomous materials discovery, using X‑ray diffraction patterns from a Fe‑Ga‑Pd alloy library on IonQ’s Aria trapped‑ion quantum computer. By integrating Gaussian‑process‑based active learning, the quantum model navigated the compositional phase space with far fewer...
Scaling Hair Care Product Photography: How Beauty Brands Win Without Endless Shoots
In this episode, Steve Hutt explains how hair‑care brands can slash visual production costs by 40‑60% using AI‑generated “Digital Twins” and hybrid workflows that blend annual studio shoots with on‑demand AI imagery. He highlights how AI instantly creates diverse, hyper‑realistic...
Generative Adversarial Networks Achieve 98% Fidelity Resource State Generation
Researchers at IIIT Hyderabad and TATA Consultancy Services introduced a physics‑informed Generative Adversarial Network (GAN) that treats quantum resource‑state creation as an inverse‑design problem. By enforcing Hermiticity, trace‑one, and positivity during training, the GAN reliably reproduces Werner‑like and Bell‑diagonal states...
Festo Offers AX Motion Insights for Fulfillment Automation Uptime
Festo introduced the AX Motion Insights platform, merging AI‑driven predictive analytics with its existing maintenance suite to cut unplanned downtime in fulfillment automation. The solution monitors electric servo drives and pneumatic cylinders, feeding condition data through AX Data Access for...
How To Replace Your Sales Team With AI
The episode explains how AI voice agents and automation can replace traditional sales teams by instantly qualifying leads, scaling cold outreach, and handling follow‑ups and even closing low‑ticket deals, freeing human reps to focus on high‑value strategy and relationship building....
Gputb-2 Achieves Higher Accuracy for Electronic Structure Calculations with N^3 Scaling
Researchers from Nanjing and Bohai Universities introduced GPUTB‑2, an E(3)-equivariant neural network that learns orthogonal Hamiltonians without the O(N³) orthogonalization bottleneck of traditional LCAO methods. The model, built with only 0.35 million parameters, reduces mean absolute error on the DeePTB benchmark...
June 2023 Product News At Rep AI: Self-Serve Is Here, Unleash Your Voice & Tone, And More
In this June 2023 product update, Rep AI announces a new self‑serve onboarding that lets users launch a branded AI chat in 10‑15 minutes, with the system automatically scanning their website and capturing brand voice and tone. Recent releases include...
How Pet Brands Use Bylo.ai’s Emoji Maker to Create More Shareable Content
The episode explains how pet brands can leverage Bylo.ai’s AI-powered emoji maker to turn customer photos and brand phrases into custom, on‑brand emojis that boost shareability across social, email, and SMS. It walks listeners through a three‑step workflow—selecting core reactions,...
AI and the Future of Marketing: Strategy, Human Value, and the CMO Role
In a Duct Tape Marketing podcast, Peter Benei explains that artificial intelligence is reshaping marketing far beyond a new gadget, automating large‑scale content production while leaving strategic judgment and creative taste to humans. He argues that CMOs will transition from...
Triple Whale Acquires Anteater to Track AI Search Visibility
Triple Whale, an ecommerce intelligence platform, has acquired Anteater to add analytics for brand visibility inside large language models such as ChatGPT. The integration lets merchants monitor how AI‑generated answers drive product discovery and directly tie those signals to revenue....
Cisco Integrates OpenAI Codex for Enterprise Engineering
Cisco has partnered with OpenAI to embed Codex into its engineering workflows, creating an autonomous AI teammate that assists with complex system development. The deployment has slashed build times by 20% and freed roughly 1,500 engineering hours each month through...
Humain Secures $1.2B to Expand Saudi AI Infrastructure
Saudi AI firm Humain, backed by the Public Investment Fund, has secured up to $1.2 billion from the National Infrastructure Fund to expand its data‑center footprint. The financing will fund the construction of 250 MW of capacity, part of a broader plan...
Deep Learning Achieves Superior Quantum Error Mitigation for up to Five Qubits
Researchers at Quantinuum and RIKEN applied sequence‑to‑sequence and attention‑based deep‑learning models to mitigate errors in noisy quantum circuits up to five qubits. Using a dataset of over 246,000 unique circuits from IBM Algiers and Hanoi processors, the models consistently outperformed...
Stacked Memristor Arrays Compute Euclidean Distance in Memory to Accelerate Self-Organizing Maps
Researchers at Hanyang University have built a three‑dimensional stacked memristor cross‑bar array that computes squared Euclidean distance directly in memory, eliminating the need for external arithmetic circuits. The 2 × 32 × 32 architecture stores raw weights in a lower layer and their squares...
Quantum Neural Networks Achieve Faster Gravitational Wave Data Analysis with 4 Qubits
Researchers evaluated cloud‑based quantum neural networks (QNNs) for LISA’s gravitational‑wave data analysis, testing hardware from IonQ, IQM, Amazon Braket and Microsoft Azure. The QNNs demonstrated markedly faster learning than classical networks, achieving 99% fidelity on a 3‑qubit feature map and...
MKS Unveils Photonics Solutions Driving AI & Quantum Innovation at Photonics West
MKS Inc. announced a suite of new photonics products at Photonics West 2026, targeting AI hardware, quantum research, life‑science imaging, and long‑range surveillance. The lineup includes Newport HybrYX air‑bearing XY stages, a 100 W UV Spectra‑Physics Talon Ace laser, tunable Matisse CW...
Berkeley Lab Develops Quantum-Machine Learning Model for Electron Behavior in Water
Berkeley Lab scientists have unveiled a quantum‑machine‑learning hybrid model that simulates excess‑electron behavior in liquid water with laboratory‑level accuracy. By applying quantum mechanics to the reactive electron and a machine‑learning‑trained force field to the surrounding solvent, the method reproduces reaction...
Explainable AI Achieves 83.5% Accuracy with Quantized Active Ingredients and Boltzmann Machines
Researchers introduced a hybrid quantum‑classical framework that uses Quantized Boltzmann Machines (QBMs) to improve both performance and transparency in AI decision‑making. Tested on a binarized, PCA‑reduced MNIST subset, QBMs reached 83.5% classification accuracy, far surpassing the 54% of classical Boltzmann...
Robust Quantum Machine Learning Achieves Increased Accuracy on MNIST and FMNIST Datasets
Researchers at the University of Melbourne introduced a Matrix Product State (MPS) based encoding scheme that dramatically reduces quantum circuit depth while preserving classification performance. By iteratively applying singular value decomposition, the method creates low‑depth, approximate encodings that require fewer...
Google Denies that It Will Use Universal Commerce Protocol for “Surveillance Pricing”
Google publicly denied allegations that its new Universal Commerce Protocol (UCP) will enable "surveillance pricing" through AI shopping agents. Consumer watchdog Groundwork Collaborative and activist Lindsay Owens warned that the system could use chat data to personalize price hikes and...
Commercetools Dedicated NRF to Showcasing Its Agentic Experience
At NRF 2026, commercetools unveiled its AI Hub, a plug‑and‑play infrastructure that lets enterprise retailers expose product, pricing and inventory data to AI‑driven shopping assistants without custom integrations. The company highlighted JD Sports as the first retailer to run Stripe’s Agentic Commerce...
Bell-Type Test Achieves Nonclassical Latent Representation Detection in Autoencoders
Kominis, Xie, Li and colleagues introduce a model‑agnostic Bell‑type test applied to the latent space of autoencoders, aiming to detect nonclassical correlations in neural representations. Using MNIST‑trained autoencoders, they compute correlation functions across multiple decoding contexts and formulate an information‑theoretic...
So3lr Force Field Achieves Unprecedented Accuracy Matching DFT for 23 Bio-Relevant Molecules
Researchers at the University of Luxembourg introduced SO3LR, a machine‑learned force field that reproduces PBE0+MBD density‑functional theory (DFT) results with unprecedented fidelity. Across 23 bio‑relevant small molecules, the model captures both harmonic and anharmonic vibrational frequencies, infrared spectra, and potential‑energy...
WiMi’s LCQHNN Achieves High Performance with Four-Layer Quantum Circuit
WiMi Hologram Cloud Inc. unveiled a Lean Classical‑Quantum Hybrid Neural Network (LCQHNN) that leverages a four‑layer variational quantum circuit to deliver image‑classification accuracy on par with much deeper quantum models. The framework fuses classical convolutional and fully‑connected layers with quantum...
Large Language Models Achieve 90% Success in Autonomous Quantum Simulation
Researchers at Beijing Normal University and HKUST have shown that large‑language‑model (LLM) agents can autonomously perform tensor‑network quantum simulations with roughly 90% success across benchmark tasks such as phase‑transition and photochemical reaction modeling. By embedding 43,000 tokens of curated documentation...