Things to Do in L.A. Tap to enable a layout that focuses on the article. A view of cleared lots and sparse construction after the Palisades fire in the Sunset Mesa neighborhood of eastern Malibu on Oct. 21. This is read by an automated voice. Please report any issues or inconsistencies here . Fire survivors can now access a portal with vetted residential templates designed to speed rebuilding and reduce costs, with homes potentially ready by 2026.

In a policy document released this month, China has signaled its ambition to become a world leader in brain-computer interfaces, the same technology that Elon Musk's Neuralink and other US startups are developing. Brain-computer interfaces, or BCIs, read and decode neural activity to translate it into commands. Because they provide a direct link between the brain and an external device, such as a computer or robotic arm, BCIs have tremendous potential as assistive devices for people with severe physical disabilities. In the US, Neuralink, Synchron, Paradromics, and others have sprung up in recent years to commercialize BCIs. Now, China boasts several homegrown BCI companies, and its government is making the development of the technology a priority.

GPT-4.5 is here, and OpenAI's newest generative AI model is bigger and more compute-intensive than ever--it's supposedly also better at understanding what ChatGPT users mean with their prompts. Users who want to be part of the first wave to try GPT-4.5, labeled as a research preview, will be required to pay for OpenAI's 200-a-month ChatGPT Pro subscription. Prior to this launch, 2025 has already been filled with new AI model releases. Anthropic recently put out a hybrid reasoning model for its Claude chatbot. Before that, Chinese researchers at DeepSeek rocked Silicon Valley with their release of a powerful model trained on a tiny budget, prompting OpenAI to drop a "mini" version of its reasoning model a month ago.

In this paper, we propose a systematic framework for fast exploration of complex and large 3-D environments using micro aerial vehicles (MAVs). The key insight is the organic integration of the frontier-based and sampling-based strategies that can achieve rapid global exploration of the environment. Specifically, a field-of-view-based (FOV) frontier detector with the guarantee of completeness and soundness is devised for identifying 3-D map frontiers. Different from random sampling-based methods, the deterministic sampling technique is employed to build and maintain an incremental road map based on the recorded sensor FOVs and newly detected frontiers. With the resulting road map, we propose a two-stage path planner. First, it quickly computes the global optimal exploration path on the road map using the lazy evaluation strategy. Then, the best exploration path is smoothed for further improving the exploration efficiency. We validate the proposed method both in simulation and real-world experiments. The comparative results demonstrate the promising performance of our planner in terms of exploration efficiency, computational time, and explored volume.

A bipartisan group of senators, including Majority Leader Charles E. Schumer, will unveil a long-awaited "road map" for regulating artificial intelligence this week, directing Congress to infuse billions of dollars into research and development of the technology while addressing its potential harms.

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn't easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria. Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI's product intelligence team, told Protocol earlier this year. "The duct tape starts to show," he said. Nokleby, who has since left the company, said that for a long time Lily AI got by using a homegrown system, but that wasn't cutting it anymore.

May 5, 2022Tech-driven innovation is fundamentally reshaping the insurance industry. Emerging capabilities including telematics, artificial intelligence, machine learning, and automation have transformed nearly every aspect of the insurance value chain and continue to create new and improved omnichannel experiences for customers1. Insurtechs are the driving force of this evolution,2 and investors are taking note. Venture capital (VC) investment has grown faster than the more mature private-equity or public-markets funding. In 2021 alone, the total amount of VC invested in insurtechs surpassed $11 billion, double the amount invested in 2020.3

Welcome to Artificial Intelligence ! NON TECHNICAL COURSE specifically created for AI/ML/DL Aspirants, gives insight about Road map to A.I

The humanoid robot Sophia, the world's first robot citizen, will arrive in Dubai on Tuesday, March 8, to participate in the largest smart conference for internal auditors, the 20th Annual Regional Audit Conference (ARAC) from March 7 to 9 at Dubai World Trade Centre. Sophia, who holds Saudi citizenship, will conduct an interactive session on the future of artificial intelligence entitled "Artificial Intelligence in the Internal Audit Profession", on the second day of the annual regional conference on internal auditing, hosted by the Association of Internal Auditors in the United Arab Emirates at the Dubai World Trade Center under the theme "The Revolution and Transformation in Internal Audit". Sophia became the world's first robot citizen after Saudi Arabia granted her citizenship in October 2017. The conference is sponsored by a number of major international companies such as KPMG, Bee'ah, Protiviti and PricewaterhouseCoopers. The conference provides an opportunity for attendees to receive more than 22 CPE credits, in order to enhance their professional development process.

Over the past six months, the Chinese government has rolled out a series of policy documents and public pronouncements that are finally putting meat on the bone of the country's governance regime for artificial intelligence (AI). Given China's track record of leveraging AI for mass surveillance, it's tempting to view these initiatives as little more than a fig leaf to cover widespread abuses of human rights. Anyone who wants to compete against, cooperate with, or simply understand China's AI ecosystem must examine these moves closely. These recent initiatives show the emergence of three different approaches to AI governance, each championed by a different branch of the Chinese bureaucracy, and each at a different level of maturity. Their backers also pack very different bureaucratic punches.