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Understanding SoTA Language Models (BERT, RoBERTA,…
Hi everyone, There are a ton of language models out there today! Many of which have their unique way of learning “self-supervised” language representations that can be used by other downstream tasks. In this article, I decided to summarize the current trends and share some key insights to glue all these novel approaches together. 😃
Why Traditional Cybersecurity is Already Obsolete
Having spent the last 20+ years in cybersecurity, helping scale cybersecurity companies, I’ve watched attacker methods evolve in creative ways. But Kevin Mandia’s prediction about AI-powered cyberattacks within a year isn’t just forward-looking, the data shows we’re already there. The Numbers Don’t Lie Last week, Kaspersky released statistics from 2024: over 3 billion malware attacks
Join the Most-Awaited Chatbot Conference |…
The conference features a range of events designed to enrich attendees’ understanding of the chatbot industry: Expert Keynotes: Get insights from industry leaders at the forefront of AI innovation. Workshops: These certified workshops provide hands-on experience, helping participants design and deploy their own AI agents. Whether you’re looking to master AI automation or enhance chatbot
Auto Quantum Circuits – La Biblia…
🔘 Laboratory page: github.com/pinballsurgeon/deluxo_adjacency/blob/main/auto_circuits_humongous.ipynb Summary «AutoQML, self-assembling circuits, hyper-parameterized Quantum ML platform, using cirq, tensorflow and tfq. Trillions of possible qubit registries, gate combinations and moment sequences, ready to be adapted into your ML flow. Here I demonstrate climatechange, jameswebbspacetelescope and microbiology vision applications… [Thus far, a circuit with 16-Qubits and a gate sequence of [ YY ] –
Roadmapping the AI race to help…
This article accompanies a visual roadmap which you can view and download here. Roadmapping is a useful tool to allow us to look into the future, predict different possible pathways, and identify areas that might present opportunities or problems. The aim is to visualise different scenarios in order to prepare, and avoid scenarios that might
AI eye matches human color perception
Researchers from the Tokyo University of Science (TUS) have achieved a significant milestone in artificial intelligence, unveiling a self-powered artificial synapse, that mimics the human eye’s remarkable ability to recognize color with exceptional precision. This innovation could transform machine vision across a wide range of real-world applications – from enhancing autonomous vehicles to improving advanced
Mammogram Data Annotation for AI-Driven Breast…
Mammographic screenings are widely known for their accessibility, cost-efficiency, and dependable accuracy in detecting abnormalities. However, with over 100 million mammograms taken globally each year, each requiring at least two specialist reviews—the sheer volume creates significant challenges for radiologists, leading to delays in report generation, missed screenings, and an increased risk of diagnostic errors. A
Unexpected Emotions – by Monica Anderson
I rarely post about my own emotions. But I feel I must provide a glimpse of where we all will be going. This is about the emotional aspects of how we will relate to AI. And a little about the Epistemology of Emotions. I have a still unusual job; I do “vibe coding”, which means
ChatGPT Slays Microsoft Copilot in the…
Despite the fact that Microsoft has its own AI writer/assistant that competes directly with ChatGPT, many of its customers prefer ChatGPT. In some cases, the preference is so pronounced, many companies are opting for ChatGPT even though they have existing contracts with Microsoft to use its in-house alternative, MS Copilot, according to Bloomberg. The trend
Machine Learning’s Most Useful Multitool: Embeddings
Embeddings are one of the most versatile techniques in machine learning, and a critical tool every ML engineer should have in their tool belt. It’s a shame, then, that so few of us understand what they are and what they’re good for! The problem, maybe, is that embeddings sound slightly abstract and esoteric: In machine