Real-time novel-view image synthesis on mobile devices is prohibitive due to the limited computational power and storage. Using volumetric rendering methods, such as NeRF and its derivatives, on mobile devices is not suitable due to the high computational cost of volumetric rendering. On the other hand, recent advances in neural light field representations have shown promising real-time view synthesis results on mobile devices. Neural light field methods learn a direct mapping from a ray representation to the pixel color. The current choice of ray representation is either stratified ray sampling or Plücker coordinates, overlooking the classic light slab (two-plane) representation, the preferred representation to interpolate between light field views. In this work, we find that using the light slab representation is an efficient representation for learning a neural light field. More importantly, it is a lower-dimensional ray representation enabling us to learn the 4D ray space using feature grids which are significantly faster to train and render. Although mostly designed for frontal views, we show that the light-slab representation can be further extended to non-frontal scenes using a divide-and-conquer strategy. Our method provides better rendering quality than prior light field methods and a significantly better trade-off between rendering quality and speed than prior light field methods.

The availability of Large Language Models (LLMs) which can generate code, has made it possible to create tools that improve developer productivity. Integrated development environments or IDEs which developers use to write software are often used as an interface to interact with LLMs. Although many such tools have been released, almost all of them focus on general-purpose programming languages. Domain-specific languages, such as those crucial for IT automation, have not received much attention. Ansible is one such YAML-based IT automation-specific language. Red Hat Ansible Lightspeed with IBM Watson Code Assistant, further referred to as Ansible Lightspeed, is an LLM-based service designed explicitly for natural language to Ansible code generation. In this paper, we describe the design and implementation of the Ansible Lightspeed service and analyze feedback from thousands of real users. We examine diverse performance indicators, classified according to both immediate and extended utilization patterns along with user sentiments. The analysis shows that the user acceptance rate of Ansible Lightspeed suggestions is higher than comparable tools that are more general and not specific to a programming language. This remains true even after we use much more stringent criteria for what is considered an accepted model suggestion, discarding suggestions which were heavily edited after being accepted. The relatively high acceptance rate results in higher-than-expected user retention and generally positive user feedback. This paper provides insights on how a comparatively small, dedicated model performs on a domain-specific language and more importantly, how it is received by users.

We're on a mission to bring people the knowledge they need to make a difference in the world. Glean was founded by a seasoned team of former Google search and Facebook engineers, who wondered why we don't have an easier way of finding what we need at work. In our personal lives, we have tools to help us find pretty much whatever we need. Why don't we have that at work? And that was the beginning of Glean.

Lightspeed is looking for a full time Sales Data Analyst for our Sales Enablement team in EMEA to support the strategy-setting of the region, monitor performance and partner with senior management to drive our business forward. If you love digging into the root cause of problems, finding patterns, and working with multiple teams, then this is the role for you. What you'll be responsible for What you'll be bringing to the team To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you're proud to come to every day.

A new AI revolution is upon us, and it is no longer a secret. In a matter of only a few months, recent LLM (large language model) breakthroughs have propelled AI from a niche trend to the dominating force behind much of the tech startup landscape. However, unlike other recent hype trends of the past few years, the value of AI has quickly become clear, showing us all how photos, writing, video, and other forms of creative media will vastly evolve in the coming years. Generative AI has the potential to transform content creation and consumption across industries including social media, gaming, immersive reality, entertainment, commerce, among many other consumer categories. However, while much of the world's attention has been focused on AI's impact on creative media in recent months, one of the earliest use cases of AI stands to also greatly benefit from recent tech advancements: AI-powered bots, or non-playable characters (NPCs).

The company then spent the next decade, and billions of dollars, trying to use Watson's artificial intelligence capabilities to solve a broad set of healthcare challenges, from helping doctors diagnose diseases based on symptoms to recommending clinical trials. In January, IBM announced it was selling Watson for parts to PE firm Francisco Partners. AI technologies have come a long way since that game show triumph. Some AI, such as those recommending ads on Google or detecting cancer on medical scans, have become part of everyday life. While improvements for these types of AI have been mostly incremental, over the last year machines suddenly became good at generating images and writing text.

Are you looking for a new opportunity? Well… you might just be in the right place! We're looking for an innovative data engineer to join our team in Auckland. You will be reporting to our Software Development Manager in Australia and work closely with a team of three Senior Data Engineers as well as a Senior Product Manager all located in Auckland. Your role will be to ensure our business has the data they need available.

Lightspeed is looking for a full time Data Analyst for our Sales Enablement team in EMEA to support the strategy-setting of the region, monitor performance and partner with senior management to drive our business forward. If you love digging into the root cause of problems, finding patterns, and working with multiple teams, then this is the role for you. What you'll be responsible for What you'll be bringing to the team To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you're proud to come to every day.