Lockheed Martin signs contract to supply Black Hawk training simulators to Philippine Air Force

This article was automatically generated using Dow Jones technology. Shares of iShares Russell 1000 Growth ETF rose 0.6% to $127.91 Friday on what proved to be an overall positive trading session for the U.S. stock market, with the S&P 500 Index rising 0.6% to 7,811.54. The fund's rise snapped a two-day losing streak. The fund's underlying index, the Russell 1000 Growth Index, rose 0.6%. The ETF's shares closed 1.5% below the 52-week high of $129.80 seen on October 6, 2026. Trading volume was 3,543,874, compared to the 65-day average trading volume of 3,895,636. As of October 8, the fund's net asset value totaled $127.11 per share. Data source: Dow Jones Market Data, FactSet (END) Dow Jones Newswires October 09, 2026 16:36 ET (20:36 GMT)

Bark named CFO Anya Hamill as principal accounting officer effective Oct. 9, 2026. Principal accounting officer Brian Dostie resigned effective Oct. 23, 2026. He stopped serving in the role on Oct. 9. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Bark Inc. published the original content used to generate this news brief via EDGAR, the Electronic Data Gathering, Analysis, and Retrieval system operated by the U.S. Securities and Exchange Commission (Ref. ID: 0001628280-26-065536), on October 09, 2026, and is solely responsible for the information contained therein.

Microsoft has launched a dedicated AI model, Microsoft-Decision-1, designed specifically for structured decision-making tasks. This model can select the optimal solution from preset options and assign probability scores, supporting scenarios such as routing distribution, content classification, and task prioritization. Internal testing shows that its speed is 35 times faster than GPT-6 Sol, with an input cost of only $0.042 per million tokens and free output.