Why do we still wrestle with documents in 2025? in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional surprise CSV lurking in a SharePoint folder. Business and data analysts waste hours converting, splitting, and cajoling those formats into something their Python pipelines will accept. Even the latest generative-AI stacks …
Read More »Fashion
Why the Oracle-OpenAI deal caught Wall Street by surprise
This week, OpenAI and Oracle shocked the markets with a surprise $300 billion, five-year agreement, part of a surge of new business that sent the cloud provider’s stock skyrocketing. But maybe the markets shouldn’t have been taken by surprise. The deal is a reminder that, despite Oracle’s legacy status, the company still plays a major role in AI infrastructure. On …
Read More »A California bill that would regulate AI companion chatbots is close to becoming law
California has taken a big step toward regulating AI. SB 243 — a bill that would regulate AI companion chatbots in order to protect minors and vulnerable users — passed both the State Assembly and Senate with bipartisan support and now heads to Governor Gavin Newsom’s desk. Newsom has until October 12 to either veto the bill or sign it …
Read More »A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
[Submitted on 28 Jul 2025 (v1), last revised 11 Sep 2025 (this version, v2)] View a PDF of the paper titled LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning, by Yining Huang and 3 other authors View PDF HTML (experimental) Abstract:Large-scale generative models like DeepSeek-R1 and OpenAI-O1 benefit substantially from chain-of-thought (CoT) reasoning, yet pushing their performance …
Read More »FTC launches inquiry into AI chatbot companions from Meta, OpenAI, and others
The FTC announced on Thursday that it is launching an inquiry into seven tech companies that make AI chatbot companion products for minors: Alphabet, CharacterAI, Instagram, Meta, OpenAI, Snap, and xAI. The federal regulator seeks to learn how these companies are evaluating the safety and monetization of chatbot companions, how they try to limit negative impacts on children and teens, …
Read More »[2411.04394] Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators
[Submitted on 7 Nov 2024 (v1), last revised 10 Sep 2025 (this version, v3)] View a PDF of the paper titled Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators, by Yan Shuo Tan and 2 other authors View PDF HTML (experimental) Abstract:Models based on recursive adaptive partitioning such as decision trees and their ensembles are popular for high-dimensional regression as they …
Read More »Perplexity reportedly raised $200M at $20B valuation
Perplexity, the AI-powered search startup that compete with Google by providing conversational answers to user queries, has secured $200 million in new capital at a $20 billion valuation, The Information reported. The fresh funding comes just two months after the company raised $100 million at an $18 billion valuation, according to Bloomberg’s July report. Since its founding three years ago, …
Read More »BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
arXiv:2509.07588v1 Announce Type: cross Abstract: In recent years, there has been substantial progress in using pretrained Language Models (LMs) on a range of tasks aimed at improving the understanding of biomedical texts. Nonetheless, existing biomedical LLMs show limited comprehension of complex, domain-specific concept structures and the factual information encoded in biomedical Knowledge Graphs (KGs). In this work, we propose BALI …
Read More »Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations
arXiv:2509.07635v1 Announce Type: cross Abstract: Deep learning appears as an appealing solution for Automatic Synthesizer Programming (ASP), which aims to assist musicians and sound designers in programming sound synthesizers. However, integrating software synthesizers into training pipelines is challenging due to their potential non-differentiability. This work tackles this challenge by introducing a method to approximate arbitrary synthesizers. Specifically, we train a …
Read More »Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
arXiv:2509.06853v1 Announce Type: cross Abstract: The inherent complexity of living cells as production units creates major challenges for maintaining stable and optimal bioprocess conditions, especially in open Photobioreactors (PBRs) exposed to fluctuating environments. To address this, we propose a Reinforcement Learning (RL) control approach, combined with Behavior Cloning (BC), for pH regulation in open PBR systems. This represents, to the …
Read More »