SambaNova Systems is hiring a Principal AI Systems Performance Engineer in San Jose, California, to optimize and scale state-of-the-art foundation models on its reconfigurable dataflow platform. The r…
Photoroom, a Y Combinator 2020 cohort company founded in 2019, is hiring a Product ML Engineer in Paris with a salary of €10k/yr, offering a hybrid work model. The role involves owning ML projects end…
OpenAI's GPT-2 medium weights achieved the highest IFT score of 42.43 with only 2 IFT epochs, while a JAX model with no dropout and no MHA bias scored 21.45 with 5 epochs, and a JAX model with dropout…
A developer's analysis of low-precision AI formats in mid-2026 shows that FP8 and FP4 have become essential for efficient large-scale AI training and inference. The report details how FP8 formats (E4M…
HeyGen, an AI video generation platform, announced that its Avatar IV diffusion model, which runs on more than 18B parameters, is now 1.86× faster on Google Cloud's eight-chip Trillium (v6e) TPU host …
Apptronik, a human-centered robotics company developing AI-powered robots, is hiring a Senior Reinforcement Learning Engineer for its Sunnyvale, CA office to implement and deploy state-of-the-art RL a…
A developer benchmarked Google's Gemma 4 E2B model on a Cloud TPU v6e-1 (Trillium) and found that while the chip offers 3.6x more KV cache memory than v5e-1, it costs 2.25x more and delivers only 1.62…
ROSA, a robotics foundation model serving system for robot factories, improves factory productivity by up to 12.06x over conventional dedicated serving systems, according to a paper proposing the syst…
Postman, the API platform used by over 45 million developers and 500,000 organizations, is hiring an AI Engineer Intern in Berkeley, California, to work on large-scale AI and agentic systems from data…
A developer implementing reinforcement learning algorithms from scratch in JAX reports that PPO (Proximal Policy Optimization), the algorithm behind ChatGPT's RLHF training, is simpler than expected. …
A developer built a pure-JAX inference engine for Google's Gemma 4 E2B model after discovering that quantization-aware-trained (QAT) checkpoints fail to load in vLLM on TPU due to a loader bug. The en…
Xanadu's quantum compiler Catalyst, built for the PennyLane library, accidentally became an LLVM compiler for JAX when users fed it pure JAX NumPy code without quantum instructions, bypassing XLA to l…
JAX's Pallas kernel system, which lowers through Triton on GPU and Mosaic on TPU, lets developers write custom kernels when XLA's automatic fusion is insufficient for operations like flash attention, …
A new field report from OpenAI reveals that coding agents, primarily Codex and Claude Code, enabled small teams to modernize critical scientific software in genomics and other fields across eight proj…
JAX, a numerical computing library, is fundamentally a tracing machine that converts pure Python functions into a typed intermediate representation called a jaxpr, refusing to execute code with contro…
Google's open-source TPU compiler, shipped as the Mosaic TPU dialect inside JAX, documents eight explicit memory spaces that programmers must manage, including vector memory (VMEM), scalar memory (SME…
AMD has published a machine-readable ISA for its Instinct GPUs and partnered with Anthropic and OpenAI to let frontier models natively write and optimize low-level kernels, claiming a 38% inference sp…
XLA, the compiler behind JAX, TensorFlow, and PyTorch/XLA, optimizes array programs by freezing shapes, statically allocating buffers, and fusing operations against a global cost model, which makes it…
XLA, the compiler under JAX, TensorFlow, and PyTorch/XLA, uses two intermediate representations: classic HLO (a hand-built C++ IR) and MLIR dialects such as StableHLO and CHLO, with a translation laye…
Deep Q-Networks (DQN) replace the Q-table in Q-learning with a neural network that outputs Q-values for all actions, enabling generalization across similar states. To stabilize training, DQN uses expe…