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Intel has unveiled two new networking chipsets, the Wi-Fi 7 BE200 and Wi-Fi 7 BE202, ahead of the official standard release. These chipsets are based on the IEEE 802.11be (Wi-Fi 7) specification, a standard that is still awaiting final ratification. This development is a clear indication of Intel’s commitment to staying at the forefront of technological innovation, even as it navigates the complex waters of standardization.

The Wi-Fi 7 standard is a game-changer in the realm of wireless technology. It promises data rates that soar as high as 40 Gbit/s, a significant leap from the capabilities of its predecessors. Intel’s BE200 chipset, one of the two newly unveiled chipsets, is designed to operate using 2×2 TX/RX streams with 2.4 GHz, 5 GHz, and 6 GHz bands. However, it’s important to note that the adapter’s maximum speed currently stands at 5 Gbit/s. This suggests that real-world implementations may not immediately reach the theoretical maximum speed, but the potential for future advancements is undeniable.

Intel Wi-Fi 7 BE200 and Wi-Fi 7 BE202

The tech industry is already gearing up for the advent of Wi-Fi 7. Various motherboard manufacturers, such as Gigabyte with its upcoming Aorus Z790 Master X, are planning to integrate this technology into their products. This readiness to embrace Wi-Fi 7 is a testament to the industry’s recognition of the transformative potential of this technology.

What sets Wi-Fi 7 apart from its predecessors is not just its raw speed, but also the underlying technology designed to enhance efficiency and capacity. Features such as Multi-User Multiple-Input Multiple-Output (MU-MIMO) and Orthogonal Frequency-Division Multiple Access (OFDMA), which were first introduced in Wi-Fi 6 and 6E, are mandatory in Wi-Fi 7. These technologies are designed to optimize the performance of wireless networks, making them more suitable for bandwidth-intensive tasks such as augmented reality (AR) and virtual reality (VR).

While the full certification for Wi-Fi 7 is not expected until 2024, and widespread adoption is likely to follow thereafter, the technology is already shaping up to be a significant aspect of our wireless future. Intel’s early adoption of Wi-Fi 7 chipsets, even before the official standard release, is a clear indication of the company’s strategic positioning in anticipation of this shift.

Intel’s launch of Wi-Fi 7 chipsets ahead of the official standard release is a significant development in the tech industry. It not only underscores Intel’s commitment to innovation but also signals the impending arrival of a new era in wireless technology. As the tech world awaits the final ratification of the wireless 7 standard, the industry is already preparing for a future where high-speed, efficient, and capacity-rich wireless networks become the norm.

Gigabyte Aorus Z790 Master X features

• Supports Intel® Core™ 13th and next-gen processors
• Digital direct 20+1+2 phases VRM solution
• Dual Channel DDR5：4*DIMMs with XMP 3.0 memory module support
• PCIe UD Slot X： PCIe 5.0 x16 slot with 10X strength for graphics card
• EZ-Latch Click：M.2 heatsinks with screwless design
• EZ-Latch Plus：PCIe 5.0 x16 slot & M.2 slots with quick release design
• UC BIOS：User-Centred intuitive UX with Quick Access function
• Ultra-Fast Storage：5*M.2 slots, including 1* PCIe 5.0 x4
• Efficient Overall Thermal：VRM Thermal Armor Fins-Array & M.2 Thermal Guard XL
• Fast Networking：10GbE LAN & Wi-Fi 7 with Ultra-high gain antenna
• Extended Connectivity：DP, Front USB-C® 10Gb/s, Front & Dual Rear USB-C® 20Gb/s
• DTS:X® Ultra Audio：ALC1220 & Rear ESS SABRE Hi-Fi 9118 DAC

Source : Intel

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In a significant development in the field of artificial intelligence, NVIDIA has announced a strategic collaboration with Anyscale, a pioneer in unified computing. This partnership aims to accelerate the development of large language models (LLMs), a crucial component in the AI landscape. The collaboration is set to integrate NVIDIA AI into Anyscale’s open-source Ray platform, the Anyscale Platform, and Anyscale Endpoints, a new service designed to embed LLMs into applications.

NVIDIA and Anyscale partnership

The integration of NVIDIA AI into Anyscale’s platforms is expected to enhance the speed and efficiency of generative AI development. It will also bolster security for production AI, a critical aspect in the current digital age where data breaches and cyber threats are rampant. Developers are given the flexibility to deploy open-source NVIDIA software with Ray or opt for NVIDIA AI Enterprise software on the Anyscale Platform, depending on their specific needs and requirements.

One of the key features of this collaboration is the support of NVIDIA’s TensorRT-LLM, an open-source software, for Anyscale offerings. TensorRT-LLM is designed to run models in parallel over multiple GPUs, offering up to 8x higher performance on NVIDIA H100 Tensor Core GPUs. This performance boost is expected to significantly enhance the efficiency of LLMs, making them more effective and reliable.

Build Large Language Models (LLMs) faster

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NVIDIA Triton Inference Server software

In addition, the NVIDIA Triton Inference Server software will enable Ray developers to improve efficiency when deploying AI models from various deep learning and machine learning frameworks. This will provide developers with a more streamlined and efficient process for model deployment, reducing the time and resources required.

The NVIDIA NeMo framework, another key component of this collaboration, will allow Ray users to fine-tune and customize LLMs with business data. This customization capability will enable businesses to tailor their AI models to their specific needs, enhancing their effectiveness and relevance.

Anyscale’s platform offers fully managed, enterprise-ready unified computing for building, deploying, and managing scalable AI and Python applications. This collaboration will allow developers to build models on their workstations through NVIDIA AI Workbench and scale them across hybrid or multi-cloud accelerated computing. This scalability is crucial in today’s digital landscape, where businesses need to adapt and scale their operations quickly and efficiently.

The NVIDIA AI integrations with Anyscale are currently in development and are expected to be available by the end of the year. Developers interested in this integration can sign up for updates and a free 90-day evaluation of NVIDIA AI Enterprise. This collaboration between NVIDIA and Anyscale is a significant step forward in the AI industry, promising to bring about faster, more efficient, and more secure AI development.

Source : NVIDIA

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It has been revealed this week that some businesses have already been granted access to Google’s upcoming AI language model, Gemini. As reported by The Information, Google has granted a select group of companies early access to Gemini, marking a significant step towards its integration into consumer services and its availability to businesses via Google’s cloud unit.

In May 2023, at the Google I/O developer conference, Google CEO Sundar Pichai revealed the development of a new artificial intelligence (AI) system, named Gemini. This system, currently under development by Google DeepMind, is poised to compete with other AI systems.

AS you might have already guessed Gemini is designed to compete with OpenAI’s GPT-4 model, which has started to generate substantial revenue for OpenAI. As individuals and businesses are willing to pay for access to the model and the ChatGPT chatbot it powers. This development has raised the stakes for Google, which has been ramping up its investments in generative AI this year to keep pace with its competition.

Gemini is not just another AI system. It is designed to be multimodal, integrating text, images, and other data types to create a more natural conversational ability. This integration of various data types is a significant step forward in the AI industry, as it allows for a more comprehensive and intuitive interaction between humans and AI.

The future capabilities of Gemini are even more intriguing. The system could potentially include memory and planning for tasks that require reasoning. This would be a significant advancement in AI technology, as it would allow the system to not only understand and respond to queries but also to remember past interactions and plan for future ones.

Google Gemini starts rolling out to businesses

The Gemini model is a collection of large-language models that power a wide range of applications, from chatbots to features that can summarize or generate original text based on user preferences. This could include anything from email drafts and music lyrics to news stories. Furthermore, Gemini is expected to assist software engineers in writing code and generating original images based on user requests.

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Early Access

Google’s decision to give developers access to an early version of Gemini is a strategic move. While the current version of Gemini is relatively large, it is not the largest version that Google is developing. The largest version, which is still under development, is expected to be more on par with ChatGPT-4. Google is planning to make Gemini available to companies through its Google Cloud Vertex AI service.

This move aligns with Google’s recent efforts to expand the use of generative AI in its services. Just last month, Google introduced generative AI to its Search tool for users in India and Japan, enabling the tool to show text or visual results in response to prompts, including summaries. Google has also made its AI-powered tools available to enterprise customers at a monthly price of $30 per user.

Capable of processing data across all Google services

Gemini’s potential to process data across all Google services is another aspect that sets it apart. This capability, combined with Google’s proprietary training data, gives Google a significant advantage in the AI industry. However, there is still uncertainty over Gemini’s relationship to Google Bard, another AI project by Google.

Google’s Chief Scientist, Jeffrey Dean, has revealed that Gemini will utilize Google’s new AI infrastructure, Pathways. This infrastructure will allow Gemini to be trained on diverse datasets, further enhancing its capabilities and potential applications. Demis Hassabis, CEO of DeepMind, has stated that Gemini is not just one model. Instead, it is a series of models, each with different sizes and capabilities. This modular approach allows for a more flexible and adaptable system, capable of handling a wide range of tasks and applications.

Gemini’s development has not gone unnoticed by competitors. Companies like OpenAI and Meta are reportedly interested in Gemini’s performance and are working on their own LLMs to compete. This competition could drive further advancements in the field of AI and natural language processing.

Google’s Gemini has the potential to change the landscape of AI and large language models. Its impressive multimodal capabilities, combined with the strengths of Alphago systems and large language models, make it a formidable competitor in the AI industry. As Google continues to roll out Gemini to businesses, it will be interesting to see how this new AI language model shapes the future of AI technology.

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Google has taken a significant step to ensure the longevity of its Chromebooks. The tech giant announced that all Chromebook platforms will receive regular automatic updates for a decade, a commitment that surpasses any other operating system today. This move is not only a testament to Google’s dedication to providing a seamless user experience but also a reflection of its commitment to sustainability and security.

Chromebooks have gained immense popularity in the education sector due to their affordability and manageability. These devices offer a cost-effective solution for schools, providing students with access to a wealth of educational resources. The introduction of 10-year automatic updates for all Chromebook platforms is set to further enhance their appeal. Starting in 2024, Chromebooks released from 2021 onwards will automatically receive updates for a decade. For those released before 2021 and already in use, users and IT administrators will have the option to extend automatic updates to 10 years from the platform’s release.

Manage Chromebook automatic updates

This move by Google is not just about enhancing the user experience; it’s also about promoting sustainability. The company is working with partners to incorporate more post-consumer recycled materials (PCR) into the production of Chromebooks. This initiative aligns with the global push towards a circular economy, where waste is minimized, and resources are reused and recycled.

In addition to this, Google is rolling out new power-efficient features and quicker repair processes for Chromebooks. These initiatives are aimed at extending the lifespan of these devices, reducing electronic waste, and promoting a more sustainable tech industry. And when a Chromebook reaches the end of its usefulness, Google continues to assist schools, businesses, and everyday users in finding the right recycling option, further emphasizing its commitment to sustainability.

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Chromebooks

Security is another critical aspect of Google’s strategy for Chromebooks. Even if a Chromebook no longer receives automatic updates, it still comes equipped with robust, built-in security features. One such feature is Verified Boot, which performs a self-check every time the Chromebook starts up. If it detects any tampering or corruption, it typically repairs itself, reverting back to its original state. This feature ensures that users can continue to use their Chromebooks with confidence, knowing that their data is secure.

How to disable Chrome automatic updates

Google’s announcement that Chromebooks will receive 10 years of automatic updates is a significant development. It not only enhances the user experience but also promotes sustainability and security. With these initiatives, Google is setting a new standard for the tech industry, demonstrating that it is possible to provide high-quality, affordable technology while also prioritizing sustainability and security. As we move forward, it will be interesting to see how other tech companies respond to this move and whether they will follow suit in making similar commitments.

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In a recent interview with Sam Altman, CEO of OpenAI, and Nicolai Tangen, CEO of Norges Bank Investment Management. A wealth of topics were discussed, ranging from the future of AI and its integration into society, to the role of AI in business and leadership. Altman’s insights provide a fascinating glimpse into the potential of AI and the challenges that lie ahead.

Altman shared OpenAI’s vision for AI-human coexistence, emphasizing the unpredictability of technology’s course. He discussed the evolution of AI technology and society, and the future of AI models and products. The use of AI in various fields was also touched upon, highlighting the role of OpenAI’s team in research, product development, and policy.

One of the key challenges, according to Altman, is aligning AI with human values and sharing its benefits. He believes in the potential for AI to change the world and increase human agency, and provided his definition and potential timeline for achieving Artificial General Intelligence (AGI). Altman also addressed the changing nature of work with the advancement of AI.

Interview with Sam Altman CEO of OpenAI

The conversation then shifted to the future of technology and its impact on work, economy, and society. Altman expressed optimism about the potential for technology to eliminate mundane tasks and allow people to engage in work they love. He acknowledged the excitement and fear surrounding the future of technology in different cultures and contexts. He also discussed the potential for technology to economically uplift developing countries and democratize intelligence, particularly benefiting those who can’t afford expert advice.

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Altman also touched on the potential for technology to disrupt the global balance of power, and the development and availability of advanced AI models like GPT-4. He spoke about the role of competition in advancing AI technology, and the relationship and alignment of goals between tech companies and partners like Microsoft. He stressed the need for self-regulation and government regulation in the AI space, and the potential for AI to dramatically increase productivity.

The interview also delved into the role of AI in business and leadership, and the importance of long-term thinking and risk-taking in innovation. Altman discussed the potential of AI in increasing productivity and changing leadership roles. He emphasized the importance of risk-taking and overcoming fear of failure in innovation, and the role of long-term thinking in achieving ambitious goals. He also shared his thoughts on the process of developing leaders and managing talent in a company.

Altman explains about the decline of research and innovation culture in Silicon Valley, but expressed optimism about the potential of fusion energy and AI in creating abundance. He also shared his views on the future of cryptocurrency and its current shortcomings. Altman underscored the importance of reading and continuous learning in personal development, and the focus on solving immediate problems over contemplating legacy in leadership.

Sam Altman’s interview provided a comprehensive overview of the current state and future prospects of AI, its impact on society, and its role in business and leadership. His insights underscore the transformative potential of AI, the challenges it presents, and the need for thoughtful and responsible development and deployment of AI technologies.

Image Credit : Norges Bank Investment Management

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Quantum computing, a field that has seen significant advancements in recent years, is poised to revolutionize the way we process data. At the heart of this technology are quantum bits, or qubits, which can assume a value of one and zero simultaneously due to a quantum phenomenon known as superposition. This unique characteristic allows quantum computers to process information in ways that classical computers cannot, opening up new possibilities for applications, particularly in simulating the natural world.

What is Quantum computing?

Quantum computing is a type of computing that leverages the principles of quantum mechanics to perform calculations. Unlike classical computing, which uses bits to represent a 0 or a 1, quantum computing uses quantum bits or qubits. A qubit can exist in a superposition of states, allowing it to represent both 0 and 1 simultaneously.

The key principles that make this new technology a unique are superposition, entanglement, and quantum gates. Superposition enables parallelism at the qubit level, meaning a quantum computer can explore multiple solutions at once. Entanglement allows qubits that are entangled to be correlated with each other; changing the state of one instantly affects the state of the other, no matter the distance separating them. Quantum gates manipulate an input of qubits into a different output of qubits by changing the probabilities of the qubits’ states.

Because of these properties, quantum computers have the potential to solve certain problems much faster than classical computers. For example, they could excel at optimization problems, factorization, and simulation of quantum systems. However, building a practical, scalable quantum computer is a significant engineering challenge due to issues like qubit stability (decoherence) and error rates.

Investment

IBM, Google, Microsoft, and Amazon are among the leading companies investing heavily in quantum computing. IBM has been at the forefront, with its IBM Q Network, a community of Fortune 500 companies, academic institutions, and research labs working on quantum computing. Google, on the other hand, claimed “quantum supremacy” in 2019 when its quantum computer solved a problem in 200 seconds that would take a supercomputer 10,000 years. Microsoft is developing a topological qubit that could make quantum computers more stable and easier to control. Amazon, meanwhile, offers quantum computing as a service through its cloud platform, AWS.

In the past, quantum computer ardour was largely confined to experimental labs. However, the landscape has changed dramatically. Tech giants like IBM and Google have been at the forefront of developing experimental quantum computers. IBM, for instance, announced a 433 qubit Osprey processor in November 2022. D-Wave Systems, another pioneer in the field, boasts a quantum computer with over 5000 qubits.

Availability via Cloud access

But this new powerful  technology is not just for tech giants. Cloud access to quantum computer processing is now available from major providers like Microsoft Azure and Amazon Web Services, who have partnered with quantum hardware pioneers. This has democratized access to  the latest technology, allowing a wider range of researchers and developers to experiment with this cutting-edge technology.

Despite these advancements, quantum computers are not intended to replace classical computers. Instead, they offer a new way to run applications, particularly those that simulate the natural world. This is because quantum computers can process vast amounts of data simultaneously, making them ideal for tasks that require complex computations.

Quantum computing in 2023

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However, quantum computing is not without its challenges. Qubits are highly susceptible to noise from the environment or component imperfections, which can lead to errors in the results. To overcome this, quantum pioneers are working on refining existing qubit technologies, improving quantum error correction, and developing new qubit technologies. IBM and Google, for instance, have reported progress in quantum error correction and the manipulation of noise.

Superconducting qubits

Various methods are being used to create quantum states of matter for computation. These include superconducting qubits, trapped iron qubits, photonic qubits, and silicon spin qubits. Intel has even released a new 12 qubit quantum research silicon chip called Tunnel Falls, which is available to universities and federal labs for research. Other technologies being developed include neutral atom qubits and topological qubits based on Majorana zero modes.

Microsoft, for its part, is focusing on developing topological qubits and has released experimental data and simulations of their topological quantum devices. Microsoft’s Azure Quantum is also supporting the wider quantum computing ecosystem by providing online resources for learning about quantum computers and programming.

Applications

Interest in the potential applications of larger scale, fault-tolerant quantum computers is growing. Funding is being provided by organizations like DARPA and the Australian government to further explore these possibilities. It is predicted that a large-scale, fault-tolerant quantum computer will be built in the next 10 years. Such a computer could be used for tasks like molecular modeling to improve our understanding of chemistry and material science.

In a rapidly evolving field, with significant advancements being made in both hardware and software. While challenges remain, the potential of this technology to revolutionize computing is undeniable. As we move forward, we can expect to see this powerful technology become an increasingly important part of our digital landscape. To learn more about the progress of quantum computing and how IBM are pushing the technology forward jump over to the official website.

Image Source :IBM

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In a significant move to meet the growing demand for customized workloads, enhanced AI capabilities, and lower total cost of ownership, Intel has broadened its Programmable Solutions Group (PSG) offerings and expanded its Intel Agilex FPGA portfolio. This expansion is a testament to Intel’s commitment to providing flexible and customizable platform capabilities for demanding applications and workloads, a role that Intel’s FPGAs have been playing crucially.

The new products and technologies were showcased at Intel’s FPGA Technology Day on Sept. 18, marking a significant milestone in Intel’s FPGA business. In 2023 alone, Intel has released 11 of the expected 15 new products, setting a record for the number of new product introductions in a single year.

Intel’s PSG business unit has been performing exceptionally well, as evidenced by a 35% revenue growth year-over-year reported in its second quarter 2023 earnings call. This growth is a clear indication of the increasing demand for Intel’s FPGA solutions and the company’s ability to meet this demand with innovative and efficient products.

The expanded Intel Agilex portfolio includes feature advancements designed to help developers build solutions more quickly. This is a strategic move by Intel to empower developers and accelerate the development of new applications and solutions.

In a bid to foster open-source development, Intel is releasing Open FPGA Stack (OFS) to open source. This is a significant step towards promoting transparency and collaboration in the development of FPGA solutions. Developers now have full access to the open-source Open FPGA Stack (OFS) hardware code, software code, and technical documentation for platform and workload development.

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Intel has also launched the first production adapter based on Intel’s F2000X infrastructure processing unit (IPU) platform. The first F2000X IPU-based production adapters have been launched, with production adapters available from Napatech. This marks a significant milestone in Intel’s IPU platform development.

In addition to these, Intel revealed additional information about two new Intel Agilex 3 FPGA Series: the B-Series and C-Series. These new series are expected to further enhance the capabilities of Intel’s FPGA portfolio and provide more options for developers and businesses.

Intel is also expanding its early access program for the Intel Agilex 5 FPGA E-Series, which delivers cost-effective power and performance for embedded edge applications. This expansion is expected to provide more developers with the opportunity to leverage the capabilities of the E-Series for their applications.

Furthermore, Intel Agilex 7 FPGAs with R-Tile are now shipping CXL IP with 2.0 features in volume. This is a significant development that is expected to enhance the performance and capabilities of the Agilex 7 FPGAs.

Finally, Intel is launching a new processor in the Nios V family: the Nios V/c compact microcontroller. This is a free, soft-core IP based on the RISC-V architecture, further expanding the options available to developers.

In conclusion, Intel’s expansion of its FPGA portfolio and the broadening of its PSG offerings is a strategic move to meet the increasing demand for customized workloads, enhanced AI capabilities, and lower total cost of ownership. With the release of new products and technologies, Intel continues to play a crucial role in providing flexible and customizable platform capabilities for demanding applications and workloads.

Source: Intel

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