StartUps

The Consumer Electronics Show (CES) is one of the largest trade events in the world. Every year, thousands of companies showcase their state-of-the-art technologies to over 100k attendees.  It brings together global industry leaders, startups, and media, and is used to launch products and signal future tech trends.   Henry Hickson, a Research Associate at the Hauert Lab, attended CES 2026. In this article he reports on the highlights of the show, […]

arXiv:2602.01684v1 Announce Type: cross Abstract: Can artificial intelligence outperform humans at strategic foresight -- the capacity to form accurate judgments about uncertain, high-stakes outcomes before they unfold? We address this question through a fully prospective prediction tournament using live Kickstarter crowdfunding projects. Thirty U.S.-based technology ventures, launched after the training cutoffs of all models studied, were evaluated while fundraising remained in progress and outcomes were unknown. A diverse suite of frontier and open-weight large language models (LLMs) completed 870 pairwise comparisons, producing complete rankings of predicted fundraising success. We benchmarked these forecasts against 346 experienced managers recruited via Prolific and three MBA-trained investors working under monitored conditions. The results are striking: human evaluators achieved rank correlations with actual outcomes between 0.04 and 0.45, while several frontier LLMs exceeded

arXiv:2602.00972v1 Announce Type: new Abstract: The distributed nature of microservice architecture introduces significant resilience challenges. Traditional testing methods, limited by extensive manual effort and oversimplified test environments, fail to capture production system complexity. To address these limitations, we present Cast, an automated, end-to-end framework for microservice resilience testing in production. It achieves high test fidelity by replaying production traffic against a comprehensive library of application-level faults to exercise internal error-handling logic. To manage the combinatorial test space, Cast employs a complexity-driven strategy to systematically prune redundant tests and prioritize high-value tests targeting the most critical service execution paths. Cast automates the testing lifecycle through a three-phase pipeline (i.e., startup, fault injection, and recovery) and uses a multi-faceted oracle to automatically verify system resilience against

Musk's space exploration company and his AI start-up are merging.

The deal further intermingles Mr. Musk’s companies and creates the most valuable private company on earth.

The deal further intermingles Mr. Musk’s companies and creates the most valuable private company on earth.

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of artificial intelligence.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Inside the marketplace powering bespoke AI deepfakes of real women Civitai—an online marketplace for buying and selling AI-generated content, backed by the venture capital firm Andreessen Horowitz—is letting users buy custom instruction files…

As biotech and other sectors of the life sciences industry espouse cautious optimism for a stabler financing environment in 2026, the steady influx of new funds in the space suggests things are trending in a better direction so far. The latest firm to top up its venture capital coffers is Austin, Texas-based Santé Ventures, which on Monday announced its fifth and biggest fund to date.

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of artificial intelligence.

arXiv:2601.22667v1 Announce Type: new Abstract: This paper examines the organizational implications of Generative AI adoption in software engineering through a multiple-case comparative study. We contrast two development environments: a traditional enterprise (brownfield) and an AI-native startup (greenfield). Our analysis reveals that transitioning from Horizontal Layering (functional specialization) to Vertical Integration (end-to-end ownership) yields 8-fold to 33-fold reductions in resource consumption. We attribute these gains to the emergence of Super Employees, AI-augmented engineers who span traditional role boundaries, and the elimination of inter-functional coordination overhead. Theoretically, we propose Human-AI Collaboration Efficacy as the primary optimization target for engineering organizations, supplanting individual productivity metrics. Our Total Factor Productivity analysis identifies an AI Distortion Effect that diminishes returns to labor scale while amplifying

'I did not think it was going to happen to me, but here we are' Nearly every company, from tech giants like Amazon to small startups, has first-hand experience with fake IT workers applying for jobs - and sometimes even being hired. …

The future of engineering-driven health innovation is currently unfolding at Arizona State University.

Network access from China and side hustle as AI upstart CEO aroused suspicion A former Google software engineer has been convicted of stealing AI hardware secrets from the company for the benefit of two China-based firms, one of which he founded. The second startup intended to use these secrets to market its technology to PRC-controlled organizations.…

Civitai—an online marketplace for buying and selling AI-generated content, backed by the venture capital firm Andreessen Horowitz—is letting users buy custom instruction files for generating celebrity deepfakes. Some of these files were specifically designed to make pornographic images banned by the site, a new analysis has found. The study, from researchers at Stanford and Indiana…

People to ditch their keyboards for microphones.

That would be a major jump from the $72 billion that the Silicon Valley tech giant shelled out last year, as it aims to compete in the artificial intelligence race.

A team of NASA scientists deployed on an international mission designed to better understand severe winter storms. The North American Upstream Feature-Resolving and Tropopause Uncertainty Reconnaissance Experiment, or NURTURE, is an airborne campaign that uses a suite of remote sensing instruments to collect atmospheric data on winter weather with a goal of improving the models that feed storm forecasts. This combination of instruments will also serve as a proxy to demonstrate the potential to collect similar observations from space.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The first human test of a rejuvenation method will begin “shortly” Life Biosciences, a small Boston startup founded by Harvard professor and life-extension evangelist David Sinclair, has won FDA approval to proceed with…

Portland, Oregon-based startup Oath Surgical is partnering with tech giant Nvidia to enhance Oath’s AI-powered outpatient surgery center operating system.

arXiv:2601.17656v1 Announce Type: new Abstract: This paper presents a battery-free and gateway-free water leak detection system capable of direct communication over LTE-M (Cat-M1). The system operates solely on energy harvested through a hydroelectric mechanism driven by an electrochemical sensor, thereby removing the need for conventional batteries. To address the stringent startup and operational power demands of LTE-M transceivers, the architecture incorporates a compartmentalized sensing module and a dedicated power management subsystem, comprising a boost converter, supercapacitor based energy storage, and a hysteresis controlled load isolation circuit. This design enables autonomous, direct to cloud data transmission without reliance on local networking infrastructure. Experimental results demonstrate consistent LTE-M beacon transmissions triggered by water induced energy generation, underscoring the system's potential for sustainable, maintenance free, and globally scalable IoT

Executives, investors and engineers are speaking out against the Trump administration after the killings of Alex Pretti and another protester in moves reminiscent of Silicon Valley a decade ago.

The new US-based joint venture blamed a datacenter power outage, but hasn’t elaborated TikTok's new life under majority American ownership is off to a rough start, after users complained of widespread service disruptions the company blamed on a datacenter power outage.…

Former CytoDyn CEO Nader Pourhassan, Ph.D., has received a 30-month prison sentence, or two and a half years, after being convicted on charges related to defrauding biotech investors.

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to automate the creation of artificial intelligence.

Bangalore is a city of contrasts. Known globally as India’s Silicon Valley, it represents the peak of technological

arXiv:2601.16568v1 Announce Type: new Abstract: Venture capital (VC) investments in early-stage startups that end up being successful can yield high returns. However, predicting early-stage startup success remains challenging due to data scarcity (e.g., many VC firms have information about only a few dozen of early-stage startups and whether they were successful). This limits the effectiveness of traditional machine learning methods that rely on large labeled datasets for model training. To address this challenge, we propose an in-context learning framework for startup success prediction using large language models (LLMs) that requires no model training and leverages only a small set of labeled startups as demonstration examples. Specifically, we propose a novel k-nearest-neighbor-based in-context learning framework, called kNN-ICL, which selects the most relevant past startups as examples based on similarity. Using real-world profiles from Crunchbase, we find that the kNN-ICL

Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's Law slows to a crawl and the amount of energy required to deliver generational performance gains grows, some chip designers are looking to alternative architectures for salvation.…

A small Finland-based start-up claims to have made a big, solid-state battery breakthrough. Now, the industry is asking for proof.

Bridging clinical safety and startup agility requires a mindset shift medical school never taught us, but the future of regional healthcare innovation depends on it.

NeuroQure, a startup diagnostics medtech that formed in 2023, has launched a first-of-its-kind test that can identify autism risk at birth, allowing for earlier and more fine-tuned therapies at critical stages of neurodevelopment.

Big Red gets to store data, advise on security, and store the 'I'll watch just one more video' algo Made-in-China social network TikTok has announced the formation of a joint venture that will run its US operations, the condition lawmakers required for its flagship app to continue operating in America.…

Karman Industries says it has developed a cooling system that uses SpaceX rocket engine technology to rein in the environmental impact of data centers.

Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Yann LeCun’s new venture is a contrarian bet against large language models     Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in…

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession with large language models is wrong-headed and will ultimately fail to solve many pressing problems.  Instead, he thinks we should be betting on world…

Plans to swing SkyHammer silicon into UALink switches later this year AI networking startup Upscale AI on Wednesday announced it has raised $200 million in Series A funding to challenge Nvidia's dominance of switches for rack-scale AI systems, putting it in competition with the likes of Cisco and AMD.…

Material science plays an absolutely critical role in space exploration. So when a new type of self-healing composite is announced, it’s worth a look–especially when the press release specifically calls out its ability to repair microtears associated with micrometeoroid impacts on satellites. It sounds like just such a composite material was recently invented at North Carolina State University - and it’s even already been spun out into a start-up company.

BitGo is moving its headquarters from Palo Alto to Sioux Falls, S.D.

arXiv:2601.13873v1 Announce Type: new Abstract: In the current era of interconnected cyberspace, there is an adverse effect of ransomware on individuals, startups, and large companies. Cybercriminals hold digital assets till the demand for payment is made. The success of ransomware upsurged with the introduction of Ransomware as a Service(RaaS) franchise in the darknet market. Obfuscation and polymorphic nature of malware make them more difficult to identify by Antivirus system. Signature based intrusion detection is still on role suffering from the scarcity of RaaS packet signatures. We have analysed RaaS samples by network forensic approach to investigate on packet captures of benign and malicious network traffic. The behavior analysis of RaaS family Ransomwares, Ryuk and Gandcrab have been investigated to classify the packets as suspicious, malicious, and non-malicious which further aid in generating RaaS packet signatures for early detection and mitigation of ransomwares belonging

The company, Oklo, plans to use the fuel at a 1.2-gigawatt plant in Ohio that's due as early as 2030. The post Meta Will Buy Startup’s Nuclear Fuel in Unusual Deal to Power AI Data Centers appeared first on SingularityHub.

Update Chainlit to the latest version ASAP Two "easy-to-exploit" vulnerabilities in the popular open-source AI framework Chainlit put major enterprises' cloud environments at risk of leaking data or even full takeover, according to cyber-threat exposure startup Zafran.…

A number of startups and universities that are building AI scientists to design and run experiments in the lab, including robot biologists and chemists, have just won extra funding from the UK government agency that funds moonshot R&D. The competition, set up by ARIA (Advanced Research and Invention Agency), gives a clear sense of how…

Founded by researchers from Anthropic, Google and xAI, the new company, Humans&, is already valued at $4.48 billion.

The prenatal care industry now has access to something genuinely new. BioticsAI, a US-founded company, secured FDA 510(k)

Inward foreign direct investment (IFDI) is known to be a significant driver of local economic development, especially in fostering entrepreneurship. Current studies have conducted in-depth investigations into the impact of IFDI on the survival, productivity, and innovation of established firms.

Owner reverse-engineered his ride, revealing authentication was never properly individualized An Estonian e-scooter owner locked out of his own ride after the manufacturer went bust did what any determined engineer might do. He reverse-engineered it, and claims he ended up discovering the master key that unlocks every scooter the company ever sold.…

A Bengaluru-based aerospace company EtherealX is preparing to fire up its rocket engines this summer, armed with fresh

The Wikimedia Foundation has secured paid partnerships with Microsoft, Meta, Amazon, and several AI startups, creating a new

When inventors move to a U.S. county, the number of successful startups, especially those valued at $1 billion or more, goes up, as inventors become founders, employees and magnets for venture capital investment. But the effects are strongest in places already primed for innovation, according to new research from Cornell SC College of Business.

The agreement with the start-up Cerebras is the latest in a series intended to expand the A.I. company’s computing power.

If SpaceX, OpenAI and Anthropic go public, they will unleash gushers of cash for Silicon Valley and Wall Street.

The Belitsoft custom software development company introduces a guide for startup founders, CTOs, and procurement managers in the

New Space is a term now commonly used around the rocketry and satellite industries to indicate a new, speed focused model of development that takes its cue from the Silicon Valley mindset of "move fast and (hopefully don't) break things." Given that several of the founders of rocketry and satellite companies have a Silicon Valley background, that probably shouldn't be a surprise, but the mindset has resulted in an exponential growth in the number of satellites in orbit, and also an exponential decrease in the cost of getting them to orbit.

A new study reveals how entrepreneurs can win support for their ideas from audiences who never speak up. The research shows that the way entrepreneurs engage with a few vocal participants in online discussions can crucially shape how the larger, silent audience perceives and supports their ideas.

Step 1: Ask for deposit. Step 2: ??? Step 3: Build Moon hotel empire Everest has been turned into a run-of-the-mill tourist attraction. Space tourism is over now that any celebrity can blast off into orbit. Next up: a hotel on the Moon, now taking reservations for only about six years from now, if you're willing to make a small deposit.…

A new study published in Business Strategy and the Environment, from the University of Eastern Finland offers a fresh perspective on how circular economy startups succeed in developing their business in markets where consumer demand for sustainable products is equivocal, institutional support is lacking and dominant players are slow to adapt.

New Space is a term now commonly used around the rocketry and satellite industries to indicate a new, speed focused model of development that takes its cue from the Silicon Valley mindset of “move fast and (hopefully don’t) break things.” Given that several of the founders of rocketry and satellite companies have a Silicon Valley background, that probably shouldn’t be a surprise, but the mindset has resulted in an exponential growth in the number of satellites in orbit, and also an exponential decrease in the cost of getting them to orbit. A new paper, recently published in pre-print form in arXiv from researchers at Schmidt Space and a variety of research institutes, lays out plans for the Lazuli Space Observatory, which hopes to apply that same mindset to flagship-level space observatory missions.

For the last two years, the cultivated meat industry has been experiencing growing pains. Many startups have shrunk, shut down, or pivoted. Their advances aren't going to waste, though.

More large donations from wealthy Silicon Valley figures are expected as they try to marshal opposition to a proposed ballot measure that would impose a new tax on billionaires.

Many Americans agree that it’s acceptable to screen embryos for severe genetic diseases. Far fewer say it’s okay to test for characteristics related to a future child’s appearance, behavior, or intelligence. But a few startups are now advertising what they claim is a way to do just that. Preimplantation genetic testing (PGT) has been around…

The billionaire investor Peter Thiel (or maybe his ghostwriter) once said, “We were promised flying cars, instead we got 140 characters.” That quip originally appeared in a manifesto for Thiel’s venture fund in 2011. All good investment firms have a manifesto, right? This one argued for making bold bets on risky, world-changing technologies rather than…

My “unicorn” Volvo V90 plug-in hybrid wagon is almost four years old. Here’s how healthy its high-voltage battery is.

Eric and Wendy Schmidt are backing a start-up-like approach to building a giant space telescope and powerful ground observatories.

Eric and Wendy Schmidt are backing a start-up-like approach to building a giant space telescope and powerful ground observatories.

Here at MIT Technology Review we’ve been writing about the gene-editing technology CRISPR since 2013, calling it the biggest biotech breakthrough of the century. Yet so far, there’s been only one gene-editing drug approved. It’s been used commercially on only about 40 patients, all with sickle-cell disease. It’s becoming clear that the impact of CRISPR…

Authentication is basically solved. Authorization is another thing entirely... CrowdStrike has signed a $740 million deal to buy identity security startup SGNL. The move underscores the growing threat of identity-based attacks as companies struggle to secure skyrocketing numbers of non-human identities, including AI agents.…

Regulators said they will look at whether the deal for Manus, a Singapore start-up with Chinese roots, complied with China’s export and investment rules.

Protein degradation biotech EpiBiologics has brought in $107 million in a star-studded series B round headed up by Johnson & Johnson's and Google's respective venture arms.

arXiv:2601.03476v1 Announce Type: new Abstract: Vehicle-to-building (V2B) systems integrate physical infrastructures, such as smart buildings and electric vehicles (EVs) connected to chargers at the building, with digital control mechanisms to manage energy use. By utilizing EVs as flexible energy reservoirs, buildings can dynamically charge and discharge them to optimize energy use and cut costs under time-variable pricing and demand charge policies. This setup leads to the V2B optimization problem, where buildings coordinate EV charging and discharging to minimize total electricity costs while meeting users' charging requirements. However, the V2B optimization problem is challenging because of: (1) fluctuating electricity pricing, which includes both energy charges ($/kWh) and demand charges ($/kW); (2) long planning horizons (typically over 30 days); (3) heterogeneous chargers with varying charging rates, controllability, and directionality (i.e., unidirectional or bidirectional);

New research highlights how Silicon Valley-style investment strategies are reshaping housing—and why this matters for renters.

The artificial intelligence start-up, which competes with OpenAI, is aiming to raise around $10 billion amid talk of a potential initial public offering.

Who can lift a 77-pound box into the overhead? Fancy having an AI system packed with Nvidia H200 GPUs that you can take with you from place to place? According to hardware maker Odinn, now you can, so long as you don't mind carrying a 35 kg (77 pound) box around.…

The Fierce Biotech Fundraising Tracker records venture capital rounds of $50 million or more secured by biotechs.

Launching an online project doesn’t have to be complicated or time-consuming. Today, AI-powered platforms help startups, creators, and

arXiv:2601.03193v1 Announce Type: new Abstract: While Unified Multimodal Models (UMMs) have achieved remarkable success in cross-modal comprehension, a significant gap persists in their ability to leverage such internal knowledge for high-quality generation. We formalize this discrepancy as Conduction Aphasia, a phenomenon where models accurately interpret multimodal inputs but struggle to translate that understanding into faithful and controllable synthesis. To address this, we propose UniCorn, a simple yet elegant self-improvement framework that eliminates the need for external data or teacher supervision. By partitioning a single UMM into three collaborative roles: Proposer, Solver, and Judge, UniCorn generates high-quality interactions via self-play and employs cognitive pattern reconstruction to distill latent understanding into explicit generative signals. To validate the restoration of multimodal coherence, we introduce UniCycle, a cycle-consistency benchmark based on a Text to

arXiv:2601.02601v1 Announce Type: new Abstract: We study the current state of the Quantum Software Engineering (QSE) ecosystem, focusing on the achievements, activities, and engagements from academia and industry, with a special focus on successful entrepreneurial endeavors in this arena. Our research methodology is a novel one, featuring the state-of-the-art in Artificial Intelligence (AI), namely Large Language Models (LLMs), especially Generative Pretrained Transformers (GPT). We use one of such models, namely the OpenAI GPT-5 model, through the ChatGPT tool. The goal is to identify institutions and companies that are highly active and have achieved distinguished results in QSE, evidenced by peer-reviewed publications or raised capital in the venture capital market.

The funding is part of an A.I. frenzy, as investors aggressively plow enormous sums into fast-growing start-ups at sky-high valuations.

AI data engineering startup acquisition brings ETL and Spark automation in-house Microsoft has bought Osmos, an AI-assisted data engineering platform, in a bid to enrich its Fabric data platform, encroaching on so-called partners' markets.…

arXiv:2601.00810v1 Announce Type: cross Abstract: Exit timing after an IPO is one of the most consequential decisions for venture capital (VC) investors, yet existing research focuses mainly on describing when VCs exit rather than evaluating whether those choices are economically optimal. Meanwhile, large language models (LLMs) have shown promise in synthesizing complex financial data and textual information but have not been applied to post-IPO exit decisions. This study introduces a framework that uses LLMs to estimate the optimal time for VC exit by analyzing monthly post IPO information financial performance, filings, news, and market signals and recommending whether to sell or continue holding. We compare these LLM generated recommendations with the actual exit dates observed for VCs and compute the return differences between the two strategies. By quantifying gains or losses associated with following the LLM, this study provides evidence on whether AI-driven guidance can improve

arXiv:2601.00912v1 Announce Type: new Abstract: When someone asks ChatGPT to recommend a project management tool, which products show up in the response? And more importantly for startup founders: will their newly launched product ever appear? This research set out to answer these questions. I randomly selected 112 startups from the top 500 products featured on the 2025 Product Hunt leaderboard and tested each one across 2,240 queries to two different large language models: ChatGPT (gpt-4o-mini) and Perplexity (sonar with web search). The results were striking. When users asked about products by name, both LLMs recognized them almost perfectly: 99.4% for ChatGPT and 94.3% for Perplexity. But when users asked discovery-style questions like "What are the best AI tools launched this year?" the success rates collapsed to 3.32% and 8.29% respectively. That's a gap of 30-to-1 for ChatGPT. Perhaps the most surprising finding was that Generative Engine Optimization (GEO), the practice

The EV startup produced more vehicles than ever in 2025, but fell short of targets it set out early in the year.

CEO Nikesh Arora's trip to Tel Aviv last month sparked rumors. Palo Alto Networks is on shopping spree. The company is reportedly considering a $400 million purchase of Israeli cybersecurity start up Koi, which raised $48 million in funding last year. …

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Welcome to Kenya’s Great Carbon Valley: a bold new gamble to fight climate change In June last year, startup Octavia Carbon began running a high-stakes test in the small town of Gilgil in…

Venture capitalists see the writing on the wall: artificial intelligence isn’t just changing how we work anymore—it’s about

What, weekend warriors from Silicon Valley not good enough? The US Army has been all-in on becoming an AI-powered outfit for some time, and now it's creating a career path for officers to specialize in making its automation dreams come true. …

speculates about what GPUzilla really gets out of the deal This summer, AI chip startup Groq raised $750 million at a valuation of $6.9 billion. Just three months later, Nvidia celebrated the holidays by dropping nearly three times that to license its technology and squirrel away its talent.…

A factory in space has been switched on and has reached temperatures of about 1,000C.

The tech giant wants to build into its own AI tools which do complex things with minimal interaction.

arXiv:2512.23489v1 Announce Type: new Abstract: Most venture capital (VC) investments fail, while a few deliver outsized returns. Accurately predicting startup success requires synthesizing complex relational evidence, including company disclosures, investor track records, and investment network structures, through explicit reasoning to form coherent, interpretable investment theses. Traditional machine learning and graph neural networks both lack this reasoning capability. Large language models (LLMs) offer strong reasoning but face a modality mismatch with graphs. Recent graph-LLM methods target in-graph tasks where answers lie within the graph, whereas VC prediction is off-graph: the target exists outside the network. The core challenge is selecting graph paths that maximize predictor performance on an external objective while enabling step-by-step reasoning. We present MIRAGE-VC, a multi-perspective retrieval-augmented generation framework that addresses two obstacles: path

arXiv:2512.23379v1 Announce Type: new Abstract: Deploying massive diffusion models for real-time, infinite-duration, audio-driven avatar generation presents a significant engineering challenge, primarily due to the conflict between computational load and strict latency constraints. Existing approaches often compromise visual fidelity by enforcing strictly unidirectional attention mechanisms or reducing model capacity. To address this problem, we introduce \textbf{SoulX-LiveTalk}, a 14B-parameter framework optimized for high-fidelity real-time streaming. Diverging from conventional unidirectional paradigms, we use a \textbf{Self-correcting Bidirectional Distillation} strategy that retains bidirectional attention within video chunks. This design preserves critical spatiotemporal correlations, significantly enhancing motion coherence and visual detail. To ensure stability during infinite generation, we incorporate a \textbf{Multi-step Retrospective Self-Correction Mechanism}, enabling

arXiv:2512.22608v1 Announce Type: new Abstract: Due to the high value and high failure rate of startups, predicting their success has become a critical challenge across interdisciplinary research. Existing approaches typically model success prediction from the perspective of a single decision-maker, overlooking the collective dynamics of investor groups that dominate real-world venture capital (VC) decisions. In this paper, we propose SimVC-CAS, a novel collective agent system that simulates VC decision-making as a multi-agent interaction process. By designing role-playing agents and a GNN-based supervised interaction module, we reformulate startup financing prediction as a group decision-making task, capturing both enterprise fundamentals and the behavioral dynamics of potential investor networks. Each agent embodies an investor with unique traits and preferences, enabling heterogeneous evaluation and realistic information exchange through a graph-structured co-investment network.

arXiv:2512.22534v1 Announce Type: new Abstract: Cloud computing has fundamentally transformed application development, yet a gap remains between the serverless promise of simplified deployment and its practical realization due to fragmentation across function runtimes, state management, and orchestration. This dissertation addresses this gap through empirical validation and technical innovation, establishing the Object-as-a-Service (OaaS) paradigm as a unified approach to cloud-native development. Grounded in evidence from three studies - practitioner interviews (21 participants), a human study on developer experience (39 participants), and NSF I-Corps customer discovery (101 interviews across 86 organizations) - this work demonstrates that infrastructure complexity taxes productivity, with practitioners prioritizing automation and maintainability over cost optimization. The dissertation makes five major contributions: (1) the OaaS paradigm unifies resource, state, and workflow

arXiv:2512.22164v1 Announce Type: new Abstract: This study presents a comprehensive bibliometric analysis of the emerging intersection between artificial intelligence (AI) and lean startup methodology. Using the PRISMA 2020 framework, we systematically analyzed 12 peer-reviewed articles published between 2010 and June 2025, sourced from the Scopus database. The analysis employed VOS viewer software to conduct co-authorship, keyword co-occurrence, and citation network analyses. Results reveal three distinct research clusters: operational integration of AI within startup experimentation processes, AI-enhanced learning systems for entrepreneurial contexts, and strategic implications of AI for uncertainty management in startups. The findings indicate a developing research domain characterized by fragmented authorship networks, limited international collaboration, and geographic concentration in developed economies, particularly the United States and Germany. Key research themes include

Just like past tech booms, the latest frenzy has produced a group of billionaires — at least on paper — from smaller start-ups.

Three start-ups are aiming to create gene-edited babies. Columnist Michael Le Page has no doubt that editing our offspring will one day become routine, but not like this

Companies like Phoenix Tailings, which recently began producing metal in New Hampshire, are using new processing methods to compete with Chinese suppliers.

arXiv:2512.21555v1 Announce Type: new Abstract: As the complexity of mobile applications grows exponentially and the fragmentation of user device environments intensifies, ensuring online application stability faces unprecedented challenges. Traditional methods, such as static logging and post-crash analysis, lack real-time contextual information, rendering them ineffective against "ghost bugs" that only manifest in specific scenarios. This highlights an urgent need for dynamic runtime observability: intercepting and tracing arbitrary methods in production without requiring an app release. We propose XTrace, a novel dynamic tracing framework. XTrace introduces a new paradigm of non-invasive proxying, which avoids direct modification of the virtual machine's underlying data structures. It achieves high-performance method interception by leveraging and optimizing the highly stable, built-in instrumentation mechanism of the Android ART virtual machine. Evaluated in a ByteDance

In supercharged AI race, defenders need to keep up interview  According to Remedio CEO Tal Kollender, the only way to beat the bad guys hacking into corporate networks is to "think like a hacker," and because not everyone is a teenage hacker turned cybersecurity startup chief executive, she built an AI to do this.…

At the Q2B Silicon Valley conference, scientific and business leaders of the quantum computing industry hailed "spectacular" progress being made towards practical devices – but said that challenges remain