HP plans to cut up to 6,000 jobs worldwide in 3 years, using AI to accelerate product development and save $1bn annually. Lower profit outlook prompts HP to streamline operations, with layoffs expected to reach 6,000 by October 2028.
Black Forest Labs releases FLUX. 2 image generation models with photorealistic details and multi-reference feature. NVIDIA and ComfyUI collaboration optimizes performance and reduces VRAM requirements by 40%.
Amazon discontinues Lookout for Vision, recommends SageMaker for AI/ML computer vision models. AWS offers pre-trained defect detection model on Marketplace for fine-tuning.
EU and US ease AI regulations for growth; Nvidia reports strong earnings amid fears of a bursting AI bubble. Meta avoids breakup like Google, as AI transforms journalism-audience dynamics.
Physical AI is transforming industries by creating intelligent systems that collaborate with humans. Diligent Robotics uses physical AI to develop mobile robots for hospitals, improving operations and customer experiences.
Amazon SageMaker HyperPod introduces GPU partitioning with NVIDIA MIG, allowing multiple tasks on a single GPU. This boosts efficiency, reduces wait times, and maximizes GPU utilization for diverse workloads.
MIT Jameel Clinic hosted a BoltzGen seminar featuring Hannes Stärk, introducing the groundbreaking protein binder generator. BoltzGen's unique capabilities challenge traditional protein design methods, with potential to revolutionize drug development.
Warner Bros. Discovery leverages AWS Graviton-based Amazon SageMaker AI instances for ML inference, achieving 60% cost savings and 7-60% latency improvements. With a focus on personalized content recommendations for 125M+ users globally, they balance scalability and cost efficiency in a diverse digital entertainment landscape.
Amazon SageMaker AI introduces enhancements to its inference optimization toolkit, including EAGLE speculative decoding for faster, more efficient model inference. By training EAGLE 2 or EAGLE 3 heads, users can optimize performance using their own data for workload-specific results, improving inference without compromising quality.
MIT study reveals large language models (LLMs) can give wrong answers due to learned grammatical patterns. Researchers develop benchmarking procedure to mitigate risks of LLMs producing harmful content.
Dr. Talia Hussain criticizes lecturers for using AI to create teaching materials due to lack of incentives. Recent doctoral graduate highlights challenges of preparing modules for one-time teaching on precarious contracts.
Traders await Rachel Reeves's budget speech, with AI tool at Deutsche Bank analyzing her words for market impact. Billions of pounds in buy-and-sell orders poised for alerts on any unexpected numbers.
Leading charity NFER predicts up to 3m UK low-skilled jobs may vanish by 2035 due to automation and AI, particularly in trades and machine operations. Administrative roles also face high risk, according to the report.
AI is accelerating violence against women and girls, with 1 in 4 people neutral about non-consensual deepfakes, warns UK police. Technology companies are complicit in this epidemic.
Researchers find large language models struggle with humor, empathy, and cultural nuance, impacting understanding of puns. Comedians and writers may breathe easier as AI research reveals limitations in grasping wordplay.