Digitising Property Sales: A Welcome Reform
By Jack Bidgood, Co-founder, Thirdfort. The UK Government’s recent pledge to modernise the property market through digitalisation is a welcome step towards a more efficient …
2025
Estonia-based Blackwall raises €45 million Series B to protect SMBs from malicious online traffic
A huge chunk of online traffic now comes from bots, both good and bad — but AI is boosting the latter. From DDoS attacks to scraping, there’s a renewed barrage…
Vento rolls out new €75M fund for Italian founders, no matter where they live
Over the last 15 years or so, as European venture capital shifted into a higher gear, one way to help a nation’s ecosystem flourish was to invest in founders from…
Alibaba Researchers Introduce R1-Omni: An Application of Reinforcement Learning with Verifiable Reward (RLVR) to an Omni-Multimodal Large Language Model
Emotion recognition from video involves many nuanced challenges. Models that depend exclusively on either visual or audio signals often miss the intricate interplay between these modalities, leading to misinterpretations of…
From Sparse Rewards to Precise Mastery: How DEMO3 is Revolutionizing Robotic Manipulation
Long-horizon robotic manipulation tasks are a serious challenge for reinforcement learning, caused mainly by sparse rewards, high-dimensional action-state spaces, and the challenge of designing useful reward functions. Conventional reinforcement learning…
Travis Kalanick thinks Uber screwed up: “Wish we had an autonomous ride-sharing product”
Travis Kalanick, the former CEO of Uber, made it clear on Wednesday: he believes the company’s decision to abandon its autonomous driving program was a mistake. Said Kalanick at the…
As Intel welcomes a new CEO, a look at where the company stands
Semiconductor giant Intel hired semiconductor veteran Lip-Bu Tan to be its new CEO. This news comes three months after Pat Gelsinger retired and stepped down from the company’s board, with…
HybridNorm: A Hybrid Normalization Strategy Combining Pre-Norm and Post-Norm Strengths in Transformer Architectures
Transformers have revolutionized natural language processing as the foundation of large language models (LLMs), excelling in modeling long-range dependencies through self-attention mechanisms. However, as these models grow deeper and more…
This AI Paper Introduces R1-Searcher: A Reinforcement Learning-Based Framework for Enhancing LLM Search Capabilities
Large language models (LLMs) models primarily depend on their internal knowledge, which can be inadequate when handling real-time or knowledge-intensive questions. This limitation often leads to inaccurate responses or hallucinations,…
Building an Interactive Bilingual (Arabic and English) Chat Interface with Open Source Meraj-Mini by Arcee AI: Leveraging GPU Acceleration, PyTorch, Transformers, Accelerate, BitsAndBytes, and Gradio
In this tutorial, we implement a Bilingual Chat Assistant powered by Arcee’s Meraj-Mini model, which is deployed seamlessly on Google Colab using T4 GPU. This tutorial showcases the capabilities of…