Optical chiplets for AI data centers gained Japan government backing as NEDO selected an NTT-led consortium to develop silicon photonics mass-production infrastructure. The project targets production samples in 2028 and requires a tenfold manufacturing productivity gain to become commercially
Bank of America and Wells Fargo sit on both lists: the open standard's roster and this month's lockout wave. The protocol is a draft. The walls are live. And Wells Fargo's liability contract lands three days before Black Friday.
A foreign brokerage predicts that private investments in Indian AI startups are rapidly growing, with potential listings adding up to USD 100 billion to India's market capitalisation over the next two to five years. Goldman Sachs reported a tripling of PE investment in Indian AI startups in 2025 and highlighted India's rising global rank in AI funding and new AI companies.
NVIDIA DGX Station for Windows brings a concrete enterprise-ready solution to local AI: combining powerful hardware connected to the applications and workflows people already use, meant for individuals or entire teams to leverage AI, locally.......
New findings from Atlassian indicate growing skepticism among developers about whether these tools are deliveringvalue or simply shifting workload demands.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
The Agents CLI Extension System enables developers to use frameworks like LangChain, LangGraph, or custom enterprise stacks while retaining a unified deployment and evaluation workflow. It details a first-party LangChain template that scaffolds, runs, and deploys agents without…
Large vision-language models (VLMs) enable recognition beyond a fixed class set, but their computational demands prevent them from running on many edge devices. Cloud offload makes this capability accessible, but sending every image consumes scarce bandwidth and communication…
Autonomous vehicles operating in open-world scenarios are inevitably confronted with previously unknown objects, such as exotic animals or loose cargo. The reliable detection and segmentation of these out-of-distribution (OOD) objects is therefore crucial for a safe…
Coreset selection picks a representative subset of the labeled training set to make training cheaper. However, it is usually evaluated by downstream accuracy at a fixed subset size, ignoring both the time spent selecting the subset and the training recipe behind each reported…
Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these objectives as com- peting, where performant models sacrifice transparency, while interpretable models accept degraded predictive…