Core Viewpoint - Humanoid Global Holdings Corp. has appointed Saman Farid to its Investment Advisory Board, aiming to enhance its investment strategies in the humanoid robotics and embodied AI sector [1][4]. Group 1: Appointment of Saman Farid - Saman Farid is the founder and CEO of Formic Technologies Inc., which focuses on providing robotics-as-a-service to help U.S. manufacturing businesses improve labor and productivity through automation [2]. - Farid has extensive experience in global investments in artificial intelligence and robotics, having previously led Baidu Ventures' global investment fund and founded Comet Labs [3]. - His role at Humanoid Global will involve advising on investment and capital allocation, including deal origination, investment analysis, due diligence, and portfolio monitoring [4]. Group 2: Advisory Agreement Details - The advisory agreement with Saman Farid is set for a term of twenty-four months starting from October 27, 2025, with the option for either party to terminate at any time [5]. - The company has granted Farid 25,000 incentive stock options at an exercise price of $1.31, vesting over a year, and 25,000 restricted share units that will vest immediately [6]. Group 3: Company Overview - Humanoid Global Holdings Corp. is a publicly traded investment issuer focused on building a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, providing liquidity and access to an actively managed portfolio [7]. - The company aims to support transformative technologies through capital and strategic consultation, including go-to-market strategies and regulatory pathways [7].

That's a wrap!Over to you: What other LLM development skills would you add?If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):8 key skills to master LLM Engineering:(free/open-source resources below) https://t.co/kG8qQ6asAB ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

You're in an ML Engineer interview at Apple.The interviewer asks:"Two models are 88% accurate.- Model A is 89% confident.- Model B is 99% confident.Which one would you pick?"You: "Any would work since both have same accuracy."Interview over.Here's what you missed:Modern neural networks can be misleading.They are overconfident in their predictions.For instance, I saw an experiment that used the CIFAR-100 dataset to compare LeNet with ResNet.LeNet produced:- Accuracy = ~0.55- Average confidence = ~0.54ResNet ...

MARK: MORNING, EVERYONE. WE HAVE THE PARTY PANEL HERE, BEFORE LUNCH. THIS IS A FASCINATING GROUP OF LEADERS AND INNOVATORS HERE TO TALK ABOUT AI.I THOUGHT, ON THIS BEAUTIFUL ENGLISH DAY, WE WOULD START WITH ALL OF US IMAGINING TAKING A TRIP TO WARMER CLIMATES. LET'S FIRE UP GETYOURGUIDE. JOHANNES, I AM COMING IN AS A CONSUMER.HOW WILL I ENCOUNTER AI, AND HOW WILL IT WELCOME OR EXPERIENCE. JOHANNES: GETYOURGUIDE IS THE LARGEST CONSUMER PLATFORM FOR BOOKING EXPERIENCES WORLDWIDE. WE JUST BROKE THE NEWS THIS M ...

We’ll be at @NeurIPS in San Diego, from Tuesday 2nd to Sunday 7th December, meeting exceptional machine learning engineers, machine learning research engineers and machine learning research scientists at all levels to join our teams in London and Lausanne.Meet us in person during the NeurIPS conference.Head to the comments for the link to apply. See you in San Diego! ...

Core Insights - Enova International reported a 22% increase in originations and a 16% rise in total company revenue for the third quarter of 2025 compared to the previous year [1] - Diluted earnings per share reached $3.03, marking a 93% increase, while adjusted earnings per share rose to $3.36, a 37% increase year-over-year [1] - The company maintained strong consolidated credit performance with a net charge-off ratio of 8.5% and a net revenue margin of 57% [1] Financial Performance - The consolidated 30+ day delinquency ratio improved year-over-year to 7.2%, indicating a stable credit outlook [1] - The consolidated portfolio fair value premium remained stable at 115% [1] - Liquidity, including cash, marketable securities, and available capacity on facilities, totaled $1.2 billion as of September 30, 2025 [1] Shareholder Returns - Share repurchases during the quarter amounted to $38 million [1] - CEO David Fisher highlighted strong demand and stable credit performance across both SMB and consumer businesses as key drivers of the quarter's success [1]

We’ll be at @NeurIPS in San Diego, from Tuesday 2nd to Sunday 7th December, meeting exceptional machine learning engineers at all levels to join our teams in London and Lausanne.Apply to interview with us in-person during the NeurIPS conference.Head to the comments for the link to apply. See you in San Diego! ...

Consolidated Financial Performance - Revenues for Q3 2025 reached $956.167 million, a 1.3% increase compared to Q2 2025 ($943.662 million) and a 3.3% increase compared to Q3 2024 ($926.019 million)[5] - Net income for Q3 2025 was $82.818 million, showing a 15.5% increase from Q2 2025 ($71.698 million) and a 24.6% increase from Q3 2024 ($66.466 million)[5] - Earnings per Diluted Share for Q3 2025 were $2.60, a 22.1% increase from Q2 2025 ($2.13) and a 40.5% increase from Q3 2024 ($1.85)[5] - Adjusted EBITDA for Q3 2025 was $130.573 million, a 17.0% increase from Q2 2025 ($111.640 million) and a 26.8% increase from Q3 2024 ($102.948 million)[5] - Adjusted EBITDA Margin for Q3 2025 was 13.7%, compared to 11.8% in Q2 2025 and 11.1% in Q3 2024[5] Segment Performance - Corporate Finance & Restructuring revenues in Q3 2025 were $404.896 million, up 6.8% from Q2 2025 ($379.239 million) and 18.6% from Q3 2024 ($341.512 million)[8] - Forensic and Litigation Consulting revenues in Q3 2025 were $194.689 million, up 4.4% from Q2 2025 ($186.517 million) and 15.4% from Q3 2024 ($168.778 million)[8] - Economic Consulting revenues in Q3 2025 were $173.086 million, down 9.7% from Q2 2025 ($191.657 million) and 22.0% from Q3 2024 ($222.033 million)[8] - Technology revenues in Q3 2025 were $94.081 million, up 12.5% from Q2 2025 ($83.599 million) but down 14.8% from Q3 2024 ($110.404 million)[8] - Strategic Communications revenues in Q3 2025 were $89.415 million, down 12.9% from Q2 2025 ($102.650 million) but up 7.4% from Q3 2024 ($83.292 million)[8] Cash Flow and Capital Allocation - Net cash provided by operating activities for Q3 2025 was $201.893 million, compared to $55.693 million in Q2 2025 and $219.374 million in Q3 2024[10] - Free Cash Flow for Q3 2025 was $186.979 million, compared to $38.268 million in Q2 2025 and $212.327 million in Q3 2024[10] - Purchase and retirement of common stock in Q3 2025 amounted to $234.211 million, compared to $354.037 million in Q2 2025[10]

Core Insights - Itron, Inc. is collaborating with Gordian Technologies to integrate AI and machine learning into its Grid Edge Intelligence (GEI) portfolio, enhancing utilities' ability to manage energy and water more effectively [1][4] - The partnership aims to improve grid resilience, operational efficiency, and disaster management while providing affordable energy to customers [1][2] Company Overview - Itron is focused on transforming energy, water, and city services management through intelligent infrastructure solutions that enhance efficiency and resilience [6] - Gordian Technologies specializes in edge AI software, providing platforms that enable efficient machine learning and AI capabilities on resource-constrained devices [5] Technology Integration - The integration of Gordian's AI and ML technology into Itron's GEI portfolio will allow utilities to detect, analyze, and classify millions of data events in milliseconds, maximizing the value of smart infrastructure investments [2][3] - The Gordian platform will be accessible through Itron's Distributed Intelligence (DI) Developer Program, enabling developers to create applications that address various utility challenges [3][4] Benefits of Collaboration - The collaboration is expected to deliver advantages such as faster response times, lower operational costs, and decentralized automation, allowing utilities to make real-time, site-specific decisions [4][8] - The enhanced capabilities will support use cases like electric vehicle connection detection and arc flash detection, improving service delivery to customers [3][4]