Author: Carter

In Episode 242 of The Robot Report Podcast, Neal Hansch—managing partner and CEO of Silicon Foundry—joins the show to discuss how startups can effectively engage with large enterprises, the rapidly evolving world of physical AI and robotics, and how broader economic trends are shaping innovation strategies. Neal Hansch, CEO, Silicon Foundry. With over 25 years of experience in venture capital, corporate development, and tech operations, Hansch advises Fortune 2,000 companies on driving innovation. His background includes leadership roles in investment, emerging markets, and M&A at firms such as Rustic Canyon Partners, MEST, and Macromedia. A graduate of Duke University and…

Image by Editor # Introduction Let’s face it: the clean, textbook version of data science rarely holds up in practice. We learn methods using perfectly curated, normally distributed data, but real-world projects throw us curveballs — extreme outliers, heavily skewed distributions, and wildly uneven variances. In an earlier piece on building an exploratory data analysis (EDA) pipeline with Pingouin, we saw how statistical tests can flag when data breaks key assumptions like normality or homoscedasticity. But what happens when those tests come back failed? Discarding the data isn’t the answer — going robust is. This article walks you through the…

As cloud workloads grow more autonomous and AI systems process increasingly sensitive data, trust needs to be baked directly into the underlying infrastructure. Azure Integrated HSM embeds hardware-level key protection natively within Azure, stretching cryptographic trust from the chip itself all the way up to running services through a design that is both verifiable and transparent. Cloud workloads are becoming more autonomous, and AI systems are handling data that is more critical than ever. Because of this, trust must be woven into infrastructure at every level. At Microsoft, security is built into the very foundation of our cloud platform, starting…

In recent years, a range of innovative solutions have emerged that enable organizations to collaborate using their own data—and that of their partners—without unnecessarily exposing sensitive information. Technologies such as clean rooms, trusted research environments, and tokenization are paving the way for what’s known as collaborative intelligence. This approach recognizes a key limitation: relying solely on internal data often leads to incomplete or unrepresentative datasets.No single organization has access to all the data it needs. This creates a significant opportunity—especially in highly regulated sectors like life sciences and financial services—for institutions to work together. By diversifying datasets through partnerships, everyone…

Elyse Betters Picaro / ZDNETStay updated with ZDNET: Set us as a favored source on Google.ZDNET’s main highlightsZDNET evaluates AI through hands-on, real-world applications.Companies cannot preview or alter reviews.Consistent testing guarantees fair “best of” evaluations.At ZDNET, we recognize the significant duty we carry. Many of you rely on our assessments to guide your buying choices, so we strive to deliver clear, impartial, and carefully considered insights. This ensures you have a dependable foundation for investing both your money and time wisely.We apply the same commitment to free offerings, recognizing that time is just as valuable as cash. We aim to…

Morning Minute is a daily newsletter written by Tyler Warner. The views and analysis presented are his own and don’t necessarily align with those of Decrypt. Also, be sure to tune into our new daily news show that breaks down all the top stories in under 5 minutes—available for download on Apple Podcasts or Spotify.⚡️ MegaETH Rolls Out Its MEGA Token With Fresh Tokenomics ModelMegaETH went live with its native MEGA token on Thursday morning, accompanied by a generous airdrop and ICO unlock for early participants.For anyone new to the space, MegaETH is an Ethereum Layer-2 scaling solution designed to…

Achiam, J. et al. GPT-4 technical report. Preprint at arXiv (2023). Touvron, H. et al. Llama 2: open foundation and fine-tuned chat models. Preprint at arXiv (2023). Anil, R. et al. PaLM 2 technical report. Preprint at arXiv (2023). Radford, A. et al. Learning transferable visual models from natural language supervision. In Proc. 38th International Conference on Machine Learning (eds Meila, M. & Zhang, T.) 8748–8763 (PMLR, 2021). Tung, C., Lin, Y., Yin, J., Ye, Q. & Chen, H. Exploring vision language pretraining with knowledge enhancement via large language model. In International Workshop on Trustworthy Artificial Intelligence for Healthcare, 81–91…

I’ll paraphrase the article while keeping the HTML structure intact and maintaining the original language (English). Business email compromise (BEC) continues to flourish even within organizations that have rolled out multi-factor authentication (MFA). As security professionals, we tend to treat MFA as the ultimate solution for email protection, yet real-world breaches tell a different story. Attackers take advantage of human tendencies, procedural weaknesses, and operational gaps that MFA by itself simply cannot cover. In numerous contemporary BEC incidents, no account is actually compromised, which means these attacks fall entirely outside the scope of MFA defenses. In 2019, Toyota Boshoku Corporation…

When we first launched Workers eight years ago, it was a direct-to-developers platform. Over the years, we have expanded and scaled the ecosystem so that platforms could not only build on Workers directly, but they could also enable their customers to ship code to us through many multi-tenant applications. We now see on Workers: Applications where users describe what they want, and the AI writes the implementation. Multi-tenant SaaS where every customer’s business logic is, at runtime, some TypeScript the platform has never seen before. Agents that write and run their own tools. CI/CD products where every repo defines its…

As the world grows more dependent on technology—and billions of connected devices now make up the Internet of Things (IoT)—protecting identity systems has never been more crucial. Every organization needs strong defenses to block unauthorized access. Reliable barriers against data breaches help maintain trust. In this post, we will break down how these safeguards enable secure operations and why they matter for every digital and IoT environment today.Why Identity Security MattersIdentity systems regulate who and what can access sensitive resources across IT networks and connected devices. In IoT deployments, this covers sensors, gateways, and cloud platforms. Without adequate defenses, attackers…