“The update focuses on addressing practical bottlenecks.”

“As context lengths move into tens and hundreds of thousands of tokens, the key value cache in transformer decoders becomes a primary deployment bottleneck.”

“The copper… will be used for data-center construction.”

“Data centers are being built too quickly, the power grid is expanding too slowly.”

“Standing beside him, Huang Renxun immediately responded, "That's right!"”

“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”

“Many companies are still operating AI agents in silos – a lack of trust could be preventing them from setting it free.”

“Function Summary: Time taken for a turn (a single interaction between the user and Claude)...”

“The biggest challenge in this workflow wasn't ideas or editing skills, but the 'people' and 'deadlines.'”

““This, the bottleneck is completely 'human (myself)'.””

“Article URL: https://epoch.ai/data-insights/us-vs-china-eci”

“In this blog post, you will learn how to use the OLAF utility to test and validate your SageMaker endpoint.”

“Enterprises are sitting on vast quantities of unstructured data, from call records and video footage to customer complaint histories and supply chain signals.”

“N/A (Article abstract only)”

“Lots of companies have also deprecated their internally built solution to switch over, dealing with GPU infra and onboarding docker containers not being a very exciting problem when the company you work for is trying to cure cancer.”

“By generating naturalistic discourse, it overcomes the lack of discursive depth common in vignette surveys, and by operationalizing complex worldviews through natural language, it bypasses the formalization bottleneck of rule-based agent-based models (ABMs).”

“OmniNeuro is decoder-agnostic, acting as an essential interpretability layer for any state-of-the-art architecture.”

“適切に設定しないとMCPを1個追加するたびに、チーム全員のリクエストコストが上がり、ツール定義の読み込みだけで数万トークンに達することも。”

“Intel flipped the script and talked about how local inference in the future because of user privacy, control, model responsiveness and cloud bottlenecks.”

“前回の記事ではAMD Ryzen AI Max+ 395でgpt-oss-20bをllama.cppとvLLMで推論させたときの性能と精度を評価した。”

“Although the Spark cluster can scale, LightGBM itself remains single-node, which appears to be a limitation of SynapseML at the moment (there seems to be an open issue for multi-node support).”

“Our estimator can be trained without computing the autocovariance kernels and it can be parallelized to provide the estimates much faster than existing approaches.”

“By reducing propagation steps in LLM deployments, MetaJuLS contributes to Green AI by directly reducing inference carbon footprint.”

“Click to view original article>”

“DarkEQA isolates the perception bottleneck by evaluating question answering from egocentric observations under controlled degradations, enabling attributable robustness analysis.”

“The method achieves approximately $4\sim10 imes$ and $2 imes$ speedups while using $1000$ cores, respectively, under the same level of structural and thermodynamic accuracy and with a reduced memory usage.”

“The state transfer fidelity reaches 98.2% for quantum states encoded in the first two energy levels, achieving a Bell state fidelity of 92.5%.”

“AstroReview correctly identifies genuinely accepted proposals with an accuracy of 87% in the meta-review stage, and the acceptance rate of revised drafts increases by 66% after two iterations with the Proposal Authoring Agent.”

“The paper claims to significantly reduce both time and space complexities, particularly the number of homomorphic operations required for recursive multiplications.”

“MSched outperforms demand paging by up to 11.05x for scientific and deep learning workloads, and 57.88x for LLM under memory oversubscription.”

“The paper derives a symmetry that relates expectation values of Pauli strings, allowing for the reduction in the number of measurements needed when simulating fermionic systems.”

“The authors obtain accurate ground-state energies for lattices up to 80 x 80 (6400 spins) and train deep Boltzmann machines for a system with 35 x 35 (1225 spins).”

“The paper finds that uncoalesced small-buffer operations significantly reduce throughput, while file system-aware aggregation restores bandwidth and reduces metadata overhead. Their approach achieves up to 3.9x and 7.6x higher write throughput compared to existing LLM checkpointing engines.”

“PackKV achieves, on average, 153.2% higher memory reduction rate for the K cache and 179.6% for the V cache, while maintaining accuracy.”

“The paper formulates a unified taxonomy for pre-training paradigms, ranging from single-modality baselines to sophisticated unified frameworks.”

“The paper proposes a method that trains a neural network to predict the minimum distance between the robot and obstacles using latent vectors as inputs. The learned distance gradient is then used to calculate the direction of movement in the latent space to move the robot away from obstacles.”

“CorGi and CorGi+ achieve up to 2.0x speedup on average, while preserving high generation quality.”

“The paper introduces Embodied Reasoning Intelligence Quotient (ERIQ), a large-scale embodied reasoning benchmark in robotic manipulation, and FACT, a flow-matching-based action tokenizer.”

“RainFusion2.0 can achieve 80% sparsity while achieving an end-to-end speedup of 1.5~1.8x without compromising video quality.”

“PipeFlow achieves up to a 9.6X speedup compared to TokenFlow and a 31.7X speedup over Diffusion Motion Transfer (DMT).”

“Out-of-distribution prompts can manipulate the routing strategy such that all tokens are consistently routed to the same set of top-$k$ experts, which creates computational bottlenecks.”

“Practitioners report a shift in development bottlenecks toward code review and concerns regarding code quality, maintainability, security vulnerabilities, ethical issues, erosion of foundational problem-solving skills, and insufficient preparation of entry-level engineers.”

“HERO Sign achieves throughput improvements of 1.28-3.13, 1.28-2.92, and 1.24-2.60 under the SPHINCS+ 128f, 192f, and 256f parameter sets on RTX 4090.”

“Yggdrasil achieves up to $3.98\times$ speedup over state-of-the-art baselines.”

“Error detection capability strongly predicts overall robustness (rho=-0.817, p=0.007), indicating this is the critical bottleneck.”

“AKG kernel agent achieves an average speedup of 1.46x over PyTorch Eager baselines implementations.”

“The classification head can be compressed by even huge factors of 16 with negligible performance degradation.”

“The corner entanglement entropy grows linearly with the logarithm of imaginary time, dictated solely by the universality class of the quantum critical point.”

“Leading LLMs showed a uniform 0.00% pass rate on all long-horizon tasks, exposing a fundamental failure in long-term planning.”

“The proposed architecture reduces the number of parameters by up to 19%, training time by 9.9%, and inference time by 8.0%, while maintaining comparable performance to the baseline model.”