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A team of compliance engineers spent six months feeding their specialist screening data, edge cases, and analyst feedback into a major cloud AI platform, only to discover they were training a general-purpose model with t…
Apple is presenting new research at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026, taking place in person at the Colorado Convention Center in Denver from June 3 to June 7. The company is…
Sreeni Ramadorai draws a parallel between Transformer models' residual connections and Agile software development sprints, arguing both systems preserve foundational knowledge while incrementally adding improvements. The…
A multidisciplinary team led by Professor Douglas Kelley at the University of Rochester used physics-informed neural networks to infer brain-wide glymphatic fluid velocities from MRI tracer videos. The method, called MR-…
A developer conducted controlled experiments on CIFAR-10 using a Convolutional Neural Network and found that data preprocessing alone caused model accuracy to range from 65% to over 87%, with one case dropping to nearly …
Revolut U.S. CEO Cetin Duransoy stated at Semafor's Banking on the Future Forum that the fintech's AI-driven transaction-monitoring systems perform "statistically significantly better than human reviews of the transactio…
Nearly four years after the mainstream adoption of AI, many jobs previously labeled as "automatable" remain intact because AI typically automates only specific tasks rather than entire roles. Benjamin Todd, president of …
Tech evangelists are increasingly using AI chatbots to draft personal communications with friends and loved ones, a practice that damages relationships through manipulation and a lack of respect. The author recounts a fr…
A clinical informaticist launched Cydoc in 2018 to automate intake forms and clinical notes, but the company shut down by August 2025 after failing to integrate with electronic health records (EHR). Doctors had to manual…
An agentic AI system's improvement depends on a post-production loop that turns production traffic, drift signals, and unexpected errors into new evaluation tests and regression checks. Pre-production work—problem defini…
Researchers have developed a stateful inference architecture for multi-agent tool calling that reduces per-turn computational cost from full reprocessing to delta-only updates, achieving 2.1x faster performance on 6-turn…
A new architectural analysis reveals that production AI agent systems are dominated by operational infrastructure rather than AI decision logic, with Claude Code's leaked source code showing only about 1.6% of its codeba…
Los Angeles-based programmer and artist Kyle McDonald created an "Apocalypse Early Warning System" that tracks private and charter jet activity worldwide, assigning emergency levels based on deviations from historical fl…
The EAGLE Team, vLLM Team, and TorchSpec Team released EAGLE 3.1, a speculative decoding algorithm that addresses attention drift in large language model inference. The update introduces FC normalization and post-norm hi…
Amazon Web Services announced a new solution for building highly scalable, serverless multi-agent generative AI systems using LangGraph agents integrated with Amazon Bedrock AgentCore Memory and Observability. The approa…
NVIDIA, Amazon Web Services, and Strands have launched a multi-agent generative AI system that combines NVIDIA NIM for GPU-accelerated inference, Amazon Bedrock AgentCore for managed runtime and shared memory, and Strand…
Rotaku, a Bay Area startup, launched the Domo humanoid robot platform starting at $2,999, targeting robotics researchers who need full-body AI capabilities without enterprise costs. The robot ships in two sizes—a 90cm De…
Hugging Face released the LeRobot Humanoid, a $2,500 set of 3D-printable robot legs with open-source hardware and software, to enable researchers to test AI-powered robotics in physical experiments. The platform includes…
Amazon Web Services (AWS) has introduced an open-source framework called Strands Agents that enables developers to build intelligent AI research assistants using just 30 lines of code. The framework, which integrates wit…
Qumulo launched its Cloud AI Accelerator with Cisco to address what it calls a GPU liquidity crisis, enabling enterprises to deliver data from distributed on-premises and public cloud sites to GPU accelerators without co…