Graham (GHM) stock surges with record backlog and FY2027 guidance. Management guides for FY2027 revenue of $285–$295M. See more details here.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Ever wonder if your cat actually views you as its owner, a giant roommate, or a surrogate mother? Science reveals a mind-blowing truth! From their nearsighted blue-green vision to hidden emotional ...

Most prosthetic hands today still struggle with a fundamental problem: No two amputees are the same, yet most devices are designed as if they are. That mismatch makes natural, intuitive control ...

The dawn of BPM 3.0 is here and it is marked by what industry experts term as “process reimagination”. For the three-and-a-half to close to four decades, India has dominated the ITES industry; today, ...

The company’s Brain2Qwerty v2 system can translate brainscans into coherent sentences, no invasive surgery required.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

Transformer-based large language models (LLMs) are rapidly expanding in both their applications and size. OpenAI’s GPT, for example, has ballooned from 117 million to 175 billion parameters since its ...