'It's going much too fast': the inside story of the race to create the ultimate AI On the 8.49am train through Silicon Valley, the tables are packed with young people glued to laptops, earbuds in, rattling out code. As the northern California hills scroll past, instructions flash up on screens from bosses: fix this bug; add new script. There is no time to enjoy the view. These commuters are foot soldiers in the global race towards artificial general intelligence - when AI systems become as or more capable than highly qualified humans. Here in the Bay Area of San Francisco, some of the world's biggest companies are fighting it out to gain some kind of an advantage. And, in turn, they are competing with China. This race to seize control of a technology that could reshape the world is being fuelled by bets in the trillions of dollars by the US's most powerful capitalists. Passengers get off a train at Palo Alto station.

Over 700 people at Apple have recently lost their jobs, according to the latest WARN report posted by the Employment Development Department of California (EDD). Most of the people who were laid off worked at Apple's offices in Santa Clara, with 371 of them coming from the company location that primarily dealt with the company's now-defunct electric vehicle project. Under California law, companies are required to file a report with the EDD for each location affected by layoffs under the Worker Adjustment and Retraining Notification (WARN) program. Eight Apple locations in Santa Clara were hit by layoffs, including the main car office, though one of them worked on its in-house MicroLED display project that was reportedly scrapped in March due to costs and technical difficulties. The company was hoping to produce its own screens for iPhones, Macs and its smartwatches, but that clearly isn't happening anytime soon.

The unique capabilities of Large Language Models (LLMs), such as the natural language text generation ability, position them as strong candidates for providing explanation for recommendations. However, despite the size of the LLM, most existing models struggle to produce zero-shot explanations reliably. To address this issue, we propose a framework called Logic-Scaffolding, that combines the ideas of aspect-based explanation and chain-of-thought prompting to generate explanations through intermediate reasoning steps. In this paper, we share our experience in building the framework and present an interactive demonstration for exploring our results.

With years of R&D history in Silicon Valley, Futurewei has a vision of an intelligent and connected world. As a well-funded independent research organization, we are committed to open-source development, fundamental research, and standards development. We are looking for a talented researcher in deep learning to join our ASID team in Santa Clara. We are passionate about applied deep learning research to solve computer vision problems in model acceleration, ViT, CLIP, VAE and Diffusion models, as well as feature embedding, contrastive learning and multi-modal learning etc. Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Running back Ezekiel Elliott has been searching for his next home in the NFL after the Dallas Cowboys released him. He's reportedly narrowed down his search to three teams, all of which could be Super Bowl contenders next season. The Philadelphia Eagles, New York Jets and Cincinnati Bengals are on Elliott's wish list, sources confirmed to Fox News Digital.

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true.

Colovore, provider of the most efficient and scalable colocation solutions in the Bay Area, announced its second data center location in Santa Clara. Located at 3060 Raymond St. and immediately adjacent to its existing data center at 1101 Space Park Drive, the new facility will deliver another 9MW of liquid-cooled, high-density colocation capacity featuring standard 50 kW per rack capacities for customers deploying modern, high-performance A.I., Machine Learning, and Big Data applications and servers. The first phase of capacity will be delivered in Q1 2024. "Companies of all sizes and across all industry verticals continue to deploy more and more compute-intensive servers and they want to optimize those deployments and IT footprints" Since Colovore's launch in 2013, the growth in data-driven applications and processing-intensive computing platforms has been exponential. The modern servers underlying these applications require 10-20x the amount of power and cooling to operate reliably versus just ten years ago, driven principally by advances at the CPU and GPU processing level.

The road to maturity for any technology in the enterprise is long and arduous. Take data and analytics platforms as an example. Data from 451 Research's Voice of the Enterprise series in March found a third of companies surveyed were still yet to fully embrace a data-driven approach to strategic decision making. If that is the case, whither artificial intelligence? Writing for Enterprise Talk earlier this month, Swapnil Mishra notes of businesses still being in the'AI adolescence' phase, citing research from Accenture which found 63% of 1,200 companies polled were still experimenting with projects.

Croquet Corporation, the startup that created the first open Metaverse operating system (OS), announces that its top executives will be speaking at the Ericsson Imagine Possible event in Santa Clara, CA, as well as AWE EU 2022 in Lisbon, Portugal. John Payne, CEO; David Smith, Co-Founder and CTO; and Vanessa Freudenberg, Co-founder and Chief Architect, will emphasize the importance of the Open Metaverse as a communication tool and collaborative experience - a place to augment human intellect and enable our ability to create, explore, understand and solve problems collaboratively. The Ericsson Imagine Possible event will bring together leading innovators and thought leaders from technology frontrunners and enterprises as they share their vision for the future - from Extended Reality (XR) and the Metaverse to the future of Enterprise connectivity. AWE (Augmented World Expo) is the world's leading AR VR conference and expo bringing together a mix of CEOs, CTOs, designers, developers, creative agencies, futurists, analysts, investors and top press in a unique opportunity to learn, inspire, partner and experience firsthand one of the most exciting industries of our times. Croquet recently won the AWE Auggie Award "Startup to Watch" award at AWE 2022 in Santa Clara earlier this year.

Chips to perform AI inference on edge devices such as smartphones is a red-hot market, even years into the field's emergence, attracting more and more startups and more and more venture funding, according to a prominent chip analyst firm covering the field. "There are more new startups continuing to come out, and continuing to try to differentiate," says Mike Demler, Senior Analyst with The Linley Group, which publishes the widely read Microprocessor Report, in an interview with ZDNet via phone. Linley Group produces two conferences each year in Silicon Valley hosting numerous startups, the Spring and Fall Processor Forum, with an emphasis in recent years on those AI startups. At the most recent event, held in October, both virtually and in-person, in Santa Clara, California, the conference was packed with startups such Flex Logix, Hailo Technologies, Roviero, BrainChip, Syntiant, Untether AI, Expedera, and Deep AI giving short talks about their chip designs. Demler and team regularly assemble a research report titled the Guide to Processors for Deep Learning, the latest version of which is expected out this month.