Abstract: Code review is one of the key processes in the software development lifecycle and is essential to maintain code quality. However, manual code review is subjective and time consuming. Given ...

Abstract: Recent advances in large language models (LLMs) have enabled near-human performance on software coding benchmarks, but their effectiveness in RTL code generation remains limited due to the ...

Recent studies have revealed the potential of training open-source Large Language Models (LLMs) to unleash LLMs' reasoning ability for enhancing vision-language navigation (VLN) performance, and ...

Alphabet stock (NASDAQ: GOOGL) plunged over 7% in the pre-market trading on Thursday, despite beating revenue and profit estimates for the fourth quarter. The sharp sell-off came despite some ...

Ashkenazi provided commentary for 2026, stating, “For the full year 2026, we expect CapEx to be in the range of $175 billion to $185 billion with investments ramping over the course of the year.” She ...

Software stocks are plunging over a fear of disruption from AI. Something similar happened to Alphabet stock when ChatGPT first came out. Alphabet stock has tripled since then. This isn't the first ...

Alphabet announced Wednesday that its capex spend in 2026 could be more than double what the company spent in 2025. The capex will go toward AI compute capacity for Google DeepMind and to meet ...

Alphabet plans $175 billion-$185 billion capex in 2026, exceeding analyst expectations Google Cloud's revenue grew 48%, surpassing Microsoft Azure's growth Google's competitor to ChatGPT reaches 750 ...

Alphabet today announced Q4 2025 earnings with $113.8 billion in revenue. These numbers range from October to December and wrap up the fiscal year. Revenue is up 18% from $96.5 billion in Q4 2024, ...

Alphabet beat Wall Street's expectations for earnings and revenue. The company reported Capex spend in the range of $175 billion to $185 billion — nearly double its 2025 spend. The company saw revenue ...

We introduce MMAR, a new benchmark designed to evaluate the deep reasoning capabilities of Audio-Language Models (ALMs) across massive multi-disciplinary tasks. MMAR comprises 1,000 meticulously ...