At the turn of the 1980s, most PC adventure games were played using only the keyboard. In those days, adventure games didn't use action menus like more modern games, but simply presented the player with a command line where they could freely input text to decide the actions that characters would take and proceed through the story. Free text input systems like these allowed players to feel a great deal of freedom. However, they did come with one common source of frustration: players knowing what action they wanted to perform but being unable to do so because they could not find the right wording. This problem was caused by the limitations of PC performance and NLP technology of the time.

40 years have passed since then, and PC performance has drastically improved, as have the capabilities of NLP technology. Using "The Portopia Serial Murder Case" as a test case, we'd like to show you the capabilities of modern NLP and the impact it can have on adventure games, as well as deepen your understanding of NLP technologies.

Alphabet Incorporated's Google AI division has today revealed a planned update for its Bard conversational artificial intelligence chatbot. The experimental generative artificial intelligence software application will become capable of assisting people in the writing of computer code - the American multinational technology company hopes that Bard will be of great to help in the area of software development. Paige Bailey, a group product manager at Google Research has introduced the upcoming changes: "Since we launched Bard, our experiment that lets you collaborate with generative AI, coding has been one of the top requests we've received from our users. As a product lead in Google Research - and a passionate engineer who still programs every day - I'm excited that today we're updating Bard to include that capability."

The Bard chatbot was made available, on a trial basis, to users in the USA and UK last month. Google's AI team is reported to be under great pressure to advance the Bard chatbot into a suitably powerful state in order to compete with its closest rival - Microsoft Corporation. The Seattle-based giant has invested heavily into Open AI's industry leading ChatGPT application. Google's latest volley against its rivals shows that Bard's has become very sophisticated - so much so that the app is able to chew through a variety of programming languages. Bailey outlines these features in the company's latest blog: "Starting now, Bard can help with programming and software development tasks, including code generation, debugging and code explanation. We're launching these capabilities in more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript. And you can easily export Python code to Google Colab - no copy and paste required." Critics of AI-driven large language models have posited that the technology could potentially eliminate humans from the job market - it will be interesting to observe the coder community's reaction to Google marketing of Bard as a helpful tool in software development.

EdgeCortix Inc., the innovative Edge Artificial Intelligence (AI) Platform company, focused on delivering class-leading compute efficiency and ultra-low latency for AI inference; announced, it is shipping its industry leading, energy-efficient, turn-key, AI co-processor, branded as the EdgeCortix SAKURA-I, to its global Early Access Program members.

"We are very pleased to be announcing the fulfillment of our first-generation semiconductor solution, the EdgeCortix SAKURA-I AI co-processor. Designed and engineered in Japan, SAKURA-I features up to 40 trillion operations per second (TOPs) of dedicated AI performance at sub-10 watts of power consumption.", said Sakyasingha Dasgupta, CEO and Founder of EdgeCortix, "We are delivering a complete Edge AI platform to our Early Access Program members, comprising both software and hardware solutions, which includes our recently updated MERA software suite. Program members include numerous global industry leading enterprise customers across both the commercial and defense sectors. We developed the EdgeCortix Early Access Program (EAP) with a focus on offering customers the opportunity to assess EdgeCortix's products and services at scale, by deploying them within their own complex, heterogeneous environments. The goal of the EAP offering is three-fold: showcasing the ease of integration into customer's existing heterogeneous systems, enabling customers to prove-out the effectiveness and efficiency of EdgeCortix solutions versus competing products and facilitating a direct dialog with EdgeCortix product management, enabling tailor-made fit in certain cases."

Elon Musk has formed a new AI-focused company, as reported by the Wall Street Journal yesterday. The entity registered under the name X.AI was incorporated via a filing in Nevada last month, and Musk appears to be listed as the company's only director with Jared Birchall joining him under the role of secretary. Birchall heads the Musk family office, Excession LLC, and he serves as CEO of Neuralink - a neurotechnology company that was co-founded by Musk back in 2016. It is widely speculated that Birchall serves as a type of fixer - go watch the TV series "Ray Donovan" if you would like to observe a crude (and obviously fictional) example - in corporate affairs.

Reports emerged earlier this week, with Musk being at the forefront of a massive purchase of GPUs destined to arrive shortly at his data centers - this impressive chunk of hardware is speculated to power AI-related number crunching at Twitter in the near future. The founding of X.AI could provide another home for a portion of the 10,000 GPU order, but industry insiders firmly believe that Twitter will need to tool up quickly for its new AI-driven endeavor - the GPUs will likely be set to work on a ChatBot system to underpin the social media platform. Musk has already recruited researchers from DeepMind and setup a lab for them at one of his operations. It remains to be seen how the X.AI startup will run alongside efforts at other Musk-owned companies - it is theorized that he wants to beat OpenAI at their own game, and compete with similar undertakings at Google, Microsoft and Amazon.

Last Tuesday, Alibaba announced its intentions to put out its own artificial intelligence (AI) chatbot product called Tongyi Qianwen - another rival to take on OpenAI's pioneering ChatGPT natural language processing tool. The Chinese technology giant is hoping to retrofit the new chatbot system into several arms of its business operations. Alibaba had revealed initial plans for chatbot integration earlier this year, and mentioned that it was providing an alternative to the already well established ChatGPT tool. Alibaba's workplace messaging application - DingTalk - is slated to receive the first AI-powered update in the near future, although the company did not provide a firm timeline for Tongyi Qianwen's release window.

The product name "Tongyi Qianwen" loosely translates to "seeking an answer by asking a thousand questions" - Alibaba did not provide an official English language translation at last week's press conference. Their chatbot is reported to function in both Mandarin and English language modes. Advanced AI voice recognition is set for usage in the Tmall Genie range of smart speakers (similar in function to the Amazon Echo). Alibaba expects to expand Tongyi Qianwen's reach into applications relating to e-commerce and mapping services.

Insider sources at Microsoft have spoken of continued efforts to modernize the core of its operating system, with the work-in-progress Windows 12 cited as the ideal candidate for substantial updates. The engineering team is reported to be integrating a modular design, which will allow for a reduced operating system footprint - similar in principle to ChromeOS. According to a Windows Report article the operating system development team is hard at work on a spiritual successor to the abandoned Windows Core OS project. Their newest effort is reported to be called "Windows CorePC" and Microsoft is aiming to hit the same goals it set for its Windows 10X edition, which was cancelled in mid-2021, but they will also target native support for legacy applications on devices that require necessary access.

Windows Core OS was shutdown after years of development and internal testing - it was hoped that a modular Universal Windows Platform-first (UWP-F) operating system would be more lightweight and gain stronger security features, as well as greater access to regular updates. The inside sources stated that Windows Core OS will not be developed any further, at least not for desktop computer purposes. The Microsoft team is anticipating that its new CorePC project will lead onto new configurations of Windows that feature a capability of scaling up and down depending on hardware variations. Windows PCs and devices, in some user case scenarios, do not require full breadth of legacy Win32 application support. CorePC will enable different configurations of Windows to be installed on a custom basis.

Today, Lenovo announced the latest 8th generation of Lenovo Legion Slim laptops, allowing gamers to harness the freedom that the newest series has to offer. The Lenovo Legion Slim series is all about empowering players to crush their gaming goals while also pursuing their creative passions, and there are more options than ever among the new Lenovo Legion Slim 7i and 7 (16", 8), Lenovo Legion Slim 5i and 5 (16", 8), and—an all-new size for this year—the Lenovo Legion Slim 5 (14", 8), which elevates laptop power and portability to a whole new level. This newest generation of the series is also the first to sport the Lenovo Artificial Intelligence (LA) family of chips. These are onboard physical AI chips that power Lenovo AI Engine+, which dynamically adjusts the Lenovo Legion ColdFront 5.0 thermals to optimize cooling on the fly and maintain maximum output with minimal noise.

Lenovo Legion Slim series laptops are designed to meet the multi-faceted needs of gamers, with an SD slot, rapid charging battery technology Windows 11, three months of free Xbox Game Pass Ultimate, as well as access to Nahimic by SteelSeries 3D immersive audio, and Lenovo Vantage helping users get the most out of their machines. Offering peace of mind, Lenovo's Legion Ultimate Support service is available with round-the-clock tech support, guidance and assistance so gamers don't have to miss a beat, and with Legion Arena, users can create their ultimate gaming hub with all their titles accessible in one place rather than having to switch between apps. Additionally, gamers looking to expand their horizons—literally—can look forward to the new Lenovo Legion R45w-30 44.5" 32:9 ultrawide curved display and the new Lenovo Legion Y34wz-30 Gaming Monitor that delivers extreme clarity and vivid color with its 34-inch mini-LED backlit panel.

Intel CEO Pat Gelsinger has issued the news, via a tweet, of Raja Koduri's departure from the silicon giant. Koduri, who currently sits as Executive Vice President and Chief Architect, will be leaving the company at the end of this month. This ends a five year long tenure at Intel, where he started as Chief Architect back in 2017. He intends to form a brand new startup operation that will focus on AI-generative software for computer games. His tweeted reply to Gelsinger reads: "Thank you Pat and Intel for many cherished memories and incredible learning over the past 5 years. Will be embarking on a new chapter in my life, doing a software startup as noted below. Will have more to share in coming weeks."

Intel has been undergoing numerous internal restructures, and Koduri's AXG Graphics Unit was dissolved late last year. He was the general manager of the graphic chips division prior to its split, and returned to his previous role as Chief Architect at Intel. The company stated at the time that Koduri's new focus would be on: "growing efforts across CPU, GPU and AI, and accelerating high-priority technical programmes."

We're starting to open access to Bard, an early experiment that lets you collaborate with generative AI. We're beginning with the U.S. and the U.K., and will expand to more countries and languages over time. Today we're starting to open access to Bard, an early experiment that lets you collaborate with generative AI. This follows our announcements from last week as we continue to bring helpful AI experiences to people, businesses and communities.

You can use Bard to boost your productivity, accelerate your ideas and fuel your curiosity. You might ask Bard to give you tips to reach your goal of reading more books this year, explain quantum physics in simple terms or spark your creativity by outlining a blog post. We've learned a lot so far by testing Bard, and the next critical step in improving it is to get feedback from more people.

The UK Treasury has set aside a budget of £900 million to invest in the development of a supercomputer that would be powerful enough to chew through more than one billion billion simple calculations a second. A new exascale computer would fit the bill, for utilization by newly established advanced AI research bodies. It is speculated that one key goal is to establish a "BritGPT" system. The British government has been keeping tabs on recent breakthroughs in large language models, the most notable example being OpenAI's ChatGPT. Ambitions to match such efforts were revealed in a statement, with the emphasis: "to advance UK sovereign capability in foundation models, including large language models."

The current roster of United Kingdom-based supercomputers looks to be unfit for the task of training complex AI models. In light of being outpaced by drives in other countries to ramp up supercomputer budgets, the UK Government outlined its own future investments: "Because AI needs computing horsepower, I today commit around £900 million of funding, for an exascale supercomputer," said the chancellor, Jeremy Hunt. The government has declared that quantum technologies will receive an investment of £2.5 billion over the next decade. Proponents of the technology have declared that it will supercharge machine learning.

We've created GPT-4, the latest milestone in OpenAI's effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5's score was around the bottom 10%. We've spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

Over the past two years, we rebuilt our entire deep learning stack and, together with Azure, co-designed a supercomputer from the ground up for our workload. A year ago, we trained GPT-3.5 as a first "test run" of the system. We found and fixed some bugs and improved our theoretical foundations. As a result, our GPT-4 training run was (for us at least!) unprecedentedly stable, becoming our first large model whose training performance we were able to accurately predict ahead of time. As we continue to focus on reliable scaling, we aim to hone our methodology to help us predict and prepare for future capabilities increasingly far in advance—something we view as critical for safety.

Whether it's generating a shiny new avatar or putting into words something you couldn't quite figure out on your own, new experiences using generative artificial intelligence are popping up every day. However, "tons of people use AI on Discord" might not be news to you: more than 30 million people already use AI apps on Discord every month. Midjourney's server is the biggest on Discord, with more than 13 million members bringing their imaginations to pixels. Overall, our users have created more than 1 billion unique images through AI apps on Discord. And this is just the start.
Almost 3 million Discord servers include an AI experience, ranging from generating gaming assets to groups writing novels with AI, to AI companions, AI companies and AI-based learning communities. More than 10 percent of new Discord users are joining specifically to access AI interest based communities on our platform.

ASUS today announced that Taiwan Web Services (TWS) has launched its AI 2.0 Foundation Model Consulting Services — a one-stop solution that integrates infrastructure, development environment, and professional technical team services for the development of next-generation AI. TWS is the first company in Taiwan to integrate a BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) into a supercomputer.

Despite the recent rapid development of large language models (LLM) and generative AI, it is still tough for an enterprise to conduct an LLM project by itself. That is why using the TWS one-stop AI 2.0 Foundation Model Consulting Services is so powerful — it dramatically reduces the barriers to entry and allows enterprises to concentrate more on research and development projects.

Using the new TWS service, enterprises can immediately start building their own generative AI applications while simultaneously reducing their hardware equipment and human capital costs, as well as lowering development risk and time to completion.

IQM Quantum Computers (IQM), the European leader in quantum computers, announced today it has been selected to deliver quantum processing units for the first Spanish quantum computer to be installed at the Barcelona Supercomputing Center (BSC) and integrated into the MareNostrum 5 supercomputer, the most powerful in Spain. "This is another example of our European leadership, demonstrating our commitment to advancing the Spanish quantum ecosystem in collaboration with both public and private institutions. Through our office in Madrid, we are also able to provide the necessary support for this project."

IQM is a member of the consortium led by Spanish companies Qilimanjaro Quantum Tech and GMV that was selected by Quantum Spain, an initiative promoted by the Ministry of Economic Affairs and Digital Transformation through the Secretary of State for Digitalisation and Artificial Intelligence (SEDIA) in December 2022, to build the first quantum computer for public use in Southern Europe.

Ayar Labs, a leader in the use of silicon photonics for chip-to-chip optical connectivity, today announced public demonstration of the industry's first 4 terabit-per-second (Tbps) bidirectional Wavelength Division Multiplexing (WDM) optical solution at the upcoming Optical Fiber Communication Conference (OFC) in San Diego on March 5-9, 2023. The company achieves this latest milestone as it works with leading high-volume manufacturing and supply partners including GlobalFoundries, Lumentum, Macom, Sivers Photonics and others to deliver the optical interconnects needed for data-intensive applications. Separately, the company was featured in an announcement with partner Quantifi Photonics on a CW-WDM-compliant test platform for its SuperNova light source, also at OFC.

In-package optical I/O uniquely changes the power and performance trajectories of system design by enabling compute, memory and network silicon to communicate with a fraction of the power and dramatically improved performance, latency and reach versus existing electrical I/O solutions. Delivered in a compact, co-packaged CMOS chiplet, optical I/O becomes foundational to next-generation AI, disaggregated data centers, dense 6G telecommunications systems, phased array sensory systems and more.

TYAN, an industry-leading server platform design manufacturer and a MiTAC Computing Technology Corporation subsidiary, today introduced 4th Gen Intel Xeon Scalable processor-based server platforms highlighting built-in accelerators to improve performance across the fastest-growing workloads in AI, analytics, cloud, storage, and HPC.

"Greater availability of new technology like 4th Gen Intel Xeon Scalable processors continue to drive the changes in the business landscape", said Danny Hsu, Vice President of MiTAC Computing Technology Corporation's Server Infrastructure Business Unit. "The advances in TYAN's new portfolio of server platforms with features such as DDR5, PCIe 5.0 and Compute Express Link 1.1 are bringing high levels of compute power within reach from smaller organizations to data centers."

Intel today marked one of the most important product launches in company history with the unveiling of 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids), the Intel Xeon CPU Max Series (code-named Sapphire Rapids HBM) and the Intel Data Center GPU Max Series (code-named Ponte Vecchio), delivering for its customers a leap in data center performance, efficiency, security and new capabilities for AI, the cloud, the network and edge, and the world's most powerful supercomputers.

Working alongside its customers and partners with 4th Gen Xeon, Intel is delivering differentiated solutions and systems at scale to tackle their biggest computing challenges. Intel's unique approach to providing purpose-built, workload-first acceleration and highly optimized software tuned for specific workloads enables the company to deliver the right performance at the right power for optimal overall total cost of ownership. Additionally, as Intel's most sustainable data center processors, 4th Gen Xeon processors deliver customers a range of features for managing power and performance, making the optimal use of CPU resources to help achieve their sustainability goals.

TYAN, an industry-leading server platform design manufacturer and a MiTAC Computing Technology Corporation subsidiary, brings its upcoming server platforms powered by 4th Gen Intel Xeon Scalable processors optimized for HPC and storage markets at SC22 on November 14-17, Booth#2000 in the Kay Bailey Hutchison Convention Center Dallas.

"Greater availability of new technology like 4th Gen Intel Xeon Scalable processors continue driving the changes in the HPC landscape", said Danny Hsu, Vice President of MiTAC Computing Technology Corporation's Server Infrastructure Business Unit. "The advances in chip technology coupled with the rise in cloud computing has brought high levels of compute power within reach for smaller organizations. HPC now is affordable and accessible to a new generation of users."

IBM Research has published information about the company's latest development of processors for accelerating Artificial Intelligence (AI). The latest IBM processor, called the Artificial Intelligence Unit (AIU), embraces the problem of creating an enterprise solution for AI deployment that fits in a PCIe slot. The IBM AIU is a half-height PCIe card with a processor powered by 23 Billion transistors manufactured on a 5 nm node (assuming TSMC's). While IBM has not provided many details initially, we know that the AIU uses an AI processor found in the Telum chip, a core of the IBM Z16 mainframe. The AIU uses Telum's AI engine and scales it up to 32 cores and achieve high efficiency.

The company has highlighted two main paths for enterprise AI adoption. The first one is to embrace lower precision and use approximate computing to drop from 32-bit formats to some odd-bit structures that hold a quarter as much precision and still deliver similar result. The other one is, as IBM touts, that "AI chip should be laid out to streamline AI workflows. Because most AI calculations involve matrix and vector multiplication, our chip architecture features a simpler layout than a multi-purpose CPU. The IBM AIU has also been designed to send data directly from one compute engine to the next, creating enormous energy savings."

Taiwan-based leading server manufacturing company Inventec's powerhouse GPU accelerator system, Rhyperior, is everything any modern-day business needs in the digital era, especially those relying heavily on Artificial Intelligence (AI) and Machine Learning (ML). A unique and optimal combination of GPUs and CPUs, this 4U GPU accelerator system is based on the NVIDIA A100 Tensor Core GPU and Intel Xeon 3rd Gen (Whitley platform). Rhyperior also equips an NVIDIA NVSwitch to enhance performance dramatically, and its power can be an effective tool for modern workloads.

In a world where technology is disrupting our lives as we know it, GPU acceleration is critical: essentially speeding up processes that would otherwise take much longer. Acceleration boosts execution for complex computational problems that can be broken down into similar, parallel operations. In other words, an excellent accelerator can be a game changer for industries like gaming and healthcare, increasingly relying on the latest technologies like AI and ML for better, more robust solutions for consumers.

AMD today announced it is joining the newly created PyTorch Foundation as a founding member. The foundation, which will be part of the non-profit Linux Foundation, will drive adoption of Artificial Intelligence (AI) tooling by fostering and sustaining an ecosystem of open source projects with PyTorch, the Machine Learning (ML) software framework originally created and fostered by Meta.

As a founding member, AMD joins others in the industry to prioritize the continued growth of PyTorch's vibrant community. Supported by innovations such as the AMD ROCm open software platform, AMD Instinct accelerators, Adaptive SoCs and CPUs, AMD will help the PyTorch Foundation by working to democratize state-of-the-art tools, libraries and other components to make these ML innovations accessible to everyone.

The CXL Consortium, an industry standards body dedicated to advancing Compute Express Link (CXL) technology, today announced the release of the CXL 3.0 specification. The CXL 3.0 specification expands on previous technology generations to increase scalability and to optimize system level flows with advanced switching and fabric capabilities, efficient peer-to-peer communications, and fine-grained resource sharing across multiple compute domains.

"Modern datacenters require heterogenous and composable architectures to support compute intensive workloads for applications such as Artificial Intelligence and Machine Learning - and we continue to evolve CXL technology to meet industry requirements," said Siamak Tavallaei, president, CXL Consortium. "Developed by our dedicated technical workgroup members, the CXL 3.0 specification will enable new usage models in composable disaggregated infrastructure."

Phison Electronics Corp., a global leader in NAND flash controller and storage solutions, today announced the launch of its X1 controller based solid state drive (SSD) platform that delivers the industry's most advanced enterprise SSD solution. Engineered with Phison's technology to meet the evolving demands of faster and smarter global data-center infrastructures, the X1 SSD platform was designed in partnership with Seagate Technology Holdings plc, a world leader in mass-data storage infrastructure solutions. The X1 SSD customizable platform offers more computing with less energy consumption. With a cost-effective solution that eliminates bottlenecks and improves quality of service, the X1 offers more than a 30 percent increase in data reads than existing market competitors for the same power used.

"We combined Seagate's proprietary data management and customer integration capabilities with Phison's cutting-edge technology to create highly customized SSDs that meet the ever-evolving needs of the enterprise storage market," said Sai Varanasi, senior vice president of product and business marketing at Seagate Technology. "Seagate is excited to partner with Phison on developing advanced SSD technology to provide the industry with increased density, higher performance and power efficiency for all mass capacity storage providers."

Cerebras Systems, the pioneer in high performance artificial intelligence (AI) computing, today announced, for the first time ever, the ability to train models with up to 20 billion parameters on a single CS-2 system - a feat not possible on any other single device. By enabling a single CS-2 to train these models, Cerebras reduces the system engineering time necessary to run large natural language processing (NLP) models from months to minutes. It also eliminates one of the most painful aspects of NLP—namely the partitioning of the model across hundreds or thousands of small graphics processing units (GPU).

"In NLP, bigger models are shown to be more accurate. But traditionally, only a very select few companies had the resources and expertise necessary to do the painstaking work of breaking up these large models and spreading them across hundreds or thousands of graphics processing units," said Andrew Feldman, CEO and Co-Founder of Cerebras Systems. "As a result, only very few companies could train large NLP models - it was too expensive, time-consuming and inaccessible for the rest of the industry. Today we are proud to democratize access to GPT-3 1.3B, GPT-J 6B, GPT-3 13B and GPT-NeoX 20B, enabling the entire AI ecosystem to set up large models in minutes and train them on a single CS-2."

ZOTAC Technology, a global manufacturer of innovation, joins COMPUTEX 2022 with exclusive unveilings at our Virtual Booth for you to discover. From the Metaverse ready wearable PC and professional mini workstation, to the smallest full featured system and ultimate graphics cards, our strong line up of innovative products invites all visitors to re imagine how we create, play and work in the new digital universe.

The next generation ZOTAC VR GO 4.0 brings unprecedented freedom of movement and the most reliable connectivity that no wireless VR device can provide. The all-new VR GO 4.0 Backpack PC is now equipped with more advanced technologies, enabling individual developers and 3D designers to visualize and realize all things creative in Virtual Reality (VR), Augmented Reality (AR), or Mixed Reality (MR) for VR content development, virtual entertainment, and more technical scenarios. While for everyone else, the addition of more powerful hardware allows for more visual fidelity and immersive VR experiences.