[musica] [musica] [musica] E vi pongo una domanda semplice che può sembrare ridicola e facile liquidarla. È possibile che una macchina diventi più intelligente di un essere umano. Ecco, la tentazione è liquidarla come una stupidaggine ridicola, perché tanto come si fa a sapere? Come si costruisce? Cosa capita dopo? Sono troppe domande che vengono e in effetti sarebbe meglio non pensarci se non fosse che abbiamo dei risultati sperimentali, seri, ripetibili, che ci obbligano a considerarla. Vedete, oggi è pos ...

Core Insights - Raytheon has entered a strategic collaboration with Amazon Web Services (AWS) to enhance satellite data processing and mission control operations, aiming to meet national security objectives [1][4] - The partnership focuses on deploying scalable cloud-based solutions utilizing AWS's artificial intelligence (AI) and machine learning (ML) services to reduce mission costs and increase operational flexibility [2][3] Group 1: Collaboration Details - The collaboration allows Raytheon to leverage AWS technologies to improve decision-making, operational coordination, and flexibility for customers in the space industry [3][4] - Raytheon aims to accelerate responsible AI innovation while maintaining high security levels and optimizing resources through this partnership [3][4] Group 2: Technological Advancements - The collaboration will enhance mission data processing and reporting by utilizing AWS and Raytheon's capabilities [7] - It includes advanced constellation command and control using modular, software-defined systems for task scheduling and asset coordination [7] - The partnership will incorporate AWS's advanced AI and ML services to revolutionize software development and mission operations [7]

Core Viewpoint - ScanTech AI Systems Inc. is appealing a Nasdaq delisting determination, with a hearing scheduled for January 22, 2026, while its stock remains traded on Nasdaq during the stay period until December 17, 2025 [1][2]. Group 1: Nasdaq Delisting Appeal - The company has requested an extension of the stay period until the outcome of the January 22, 2026 hearing is finalized [2]. - Nasdaq Rule 5815(a)(1)(B)(i) states that the automatic stay for delisting determinations related to delinquent filings is limited to 15 days unless an extension is granted [3]. - The company has filed amended periodic filings for March 31, 2025, and June 30, 2025, and is on track to file the September 30, 2025 report within the stay period [3]. Group 2: Compliance Plan - The company plans to present a comprehensive compliance plan to the Nasdaq Hearings Panel to address both MVLS requirements and recent filing deficiencies [4]. - Management is confident in the company's ability to demonstrate a clear path to full compliance, although success in the hearing is not guaranteed [4]. Group 3: Business Operations - The Nasdaq process does not affect the company's day-to-day operations, customer commitments, or ongoing strategic initiatives [5]. Group 4: Company Overview - ScanTech AI has developed advanced non-intrusive 'fixed-gantry' CT screening technologies that utilize AI and machine learning to detect hazardous materials and contraband [6]. - The company's solutions are designed for high-security environments such as airports, seaports, borders, and government buildings [6].

About LabGenius Therapeutics This collaboration combines LabGenius' AI/ML-driven antibody design capabilities with Sanofi's expertise in the development of therapeutic NANOBODY® molecules to co- optimise proteins for therapeutically valuable properties LabGenius Therapeutics is a drug discovery company pioneering the discovery of next-generation therapeutic antibodies. The company's discovery platform, EVAâ"¢, integrates several cutting-edge technologies drawn from the fields of artificial intelligence, rob ...

I have been fine-tuning LLMs for over 2 years now!Here are the top 5 LLM fine-tuning techniques, explained with visuals:First of all, what's so different about LLM finetuning?Traditional fine‑tuning is impractical for LLMs (billions of params; 100s GB).Since this kind of compute isn't accessible to everyone, parameter-efficient finetuning (PEFT) came into existence.Before we go into details of each technique, here's some background that will help you better understand these techniques:LLM weights are matric ...

Group 1: Capricor Therapeutics, Inc. - Capricor Therapeutics, Inc. leads the market with a remarkable 351.89% increase in its stock price, closing at $28.74, following advancements in its lead candidate, CAP-1002, for treating Duchenne muscular dystrophy [1][6] - The stock reached a new year-high of $40.37, with trading volume exceeding 48 million shares, attributed to a successful late-stage study for a heart condition associated with the disease [1][6] Group 2: Nauticus Robotics, Inc. - Nauticus Robotics, Inc.'s warrant (KITTW) saw a substantial rise of 150.92%, reaching $0.068, driven by technological breakthroughs in ocean robotics [2][6] - The company's stock (NASDAQ: KITT) experienced a 67.46% climb to $1.2101, with trading volume surging to over 72 million shares, reflecting investor interest in its innovative approach to oceanic exploration [2][6] Group 3: iRobot Corporation - iRobot Corporation experienced a significant uptick of 69.97% in its stock price, landing at $3.31, fueled by a strategic partnership aimed at expanding its product line into new markets [3][6] - The trading volume reached 166 million shares, indicating a strong market response compared to its usual trading activity [3] Group 4: Palladyne AI Corp. - Palladyne AI Corp.'s warrant (PDYNW) rounded out the top five with a 54.25% increase in its stock price to $0.10, reflecting advancements in AI and machine learning for robotic systems [4][6] - The increased trading activity underscores the dynamic nature of the market, where technological advancements can significantly impact company valuations [4][6] Group 5: Market Overview - The market's top gainers demonstrate the impact of technological advancements and strategic developments on company valuations, with Capricor Therapeutics, Nauticus Robotics, iRobot, and Palladyne AI Corp. all experiencing significant stock price increases [5][6] - These movements highlight the importance of innovation and strategic partnerships in driving investor interest and market performance [5]

This founder was a pharmacist first. She was so frustrated by data entry and faxes, she quit to launch an AI startup.Eunice Qu's solution: Asepha, which uses machine learning to process handwritten prescriptions, verify codes, and handle paper faxes (yes, they still exist).Read more: https://t.co/5OqSp7jmnJ #ForbesUnder30 (Photo: Sebastian Nevols for Forbes) ...

Core Insights - American Express Company (AXP) has demonstrated strong performance in the payments sector, achieving a return on equity (ROE) of 35.9% in Q3 2025, an increase from 33.9% year-over-year [1][8] Financial Performance - Total expenses for American Express rose by 10% in 2023, 6% in 2024, and 10% year-over-year in Q3 2025, driven by increased spending on rewards, services, marketing, and business development [2][8] - The Zacks Consensus Estimate for American Express' 2025 earnings is projected at $15.43 per share, indicating a 15.6% increase from the previous year [10] Competitive Landscape - Visa Inc. reported a 13% year-over-year increase in adjusted operating expenses in Q4 fiscal 2025, while returning $6.1 billion to shareholders through buybacks and dividends [5] - Mastercard's adjusted operating expenses rose by 15% year-over-year in Q3 2025, with share buybacks totaling $3.3 billion and dividends of $687 million [6] Strategic Initiatives - American Express is leveraging AI, machine learning, and fraud detection to enhance customer experience and optimize operations, which supports revenue growth amid rising costs [3][8] - The company introduced Amex Ads, a digital advertising platform aimed at improving brand engagement with American Express Card Members [2] Valuation Metrics - American Express trades at a forward price-to-earnings ratio of 20.75X, lower than the industry average of 23.56X, and holds a Value Score of C [9]

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. https://t.co/pFxYUsWxlvAvi Chawla (@_avichawla):Bias-variance tradeoff has a missing detail!Not many ML engineers know about it.Consider fitting a polynomial regression model on some dummy dataset, say, y=sin(x) + noise.As shown in the first plot in the image, as we increase the degree (m):- The training loss will go https://t.co/BIdCfkZRHO ...

Group 1 - V2X, Inc. has been awarded a position on the Automated Test Systems Division's Multiple Award IDIQ contract by the Air Force Life Cycle Management Center [1] - The contract involves providing rapid, full lifecycle support for Automated Test Systems used to sustain critical warfighter operations globally [1] - The systems supported include a variety of aircraft platforms such as fighter jets, bombers, cargo aircraft, unmanned aerial vehicles, and helicopters [1] Group 2 - The IDIQ contract has a base ordering period of five years, with an option to extend for an additional five years [1] - V2X will maintain and sustain both commercial and noncommercial products across the ATS Division's portfolio [1] - The company employs approximately 16,000 professionals and integrates AI and machine learning capabilities to enhance mission success [1]