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  • ✇Finding God in Video Games
  • Sora and Roxas: Hearts DividedFinding God in Video Games
    Sora and Roxas exist in a unique duality in the Kingdom Hearts series… two distinct beings originally connected by a single heart and seeking control of their own destiny. As the “Nobody” that was created when Sora briefly became a Heartless, Roxas simply wanted to live his own life in his own way… but his will was at odds with the destiny Sora possessed. It was only when Roxas chose to yield his body and be absorbed into Sora’s purpose that he finally found what he was looking for… a life and m
     

Sora and Roxas: Hearts Divided

Sora and Roxas exist in a unique duality in the Kingdom Hearts series… two distinct beings originally connected by a single heart and seeking control of their own destiny. As the “Nobody” that was created when Sora briefly became a Heartless, Roxas simply wanted to live his own life in his own way… but his will was at odds with the destiny Sora possessed. It was only when Roxas chose to yield his body and be absorbed into Sora’s purpose that he finally found what he was looking for… a life and meaning beyond simply existing.

Much like the struggle between Sora and Roxas, we will all find a war within us each day for control of our thoughts and actions, and this duality can make us feel like competing minds in one body trying to live two different lives. Fighting a war from within may seem impossible to win, and without the power of Christ it is a battle we are doomed to lose. But when we willingly submit our minds and bodies to the will of Christ in these times of conflict, a solution can be found… only by bending our knee to His Spirit and denying our desires do we become who we were truly meant to be.

Where do wars and fights come from among you? Do they not come from your desires for pleasure that war in your members? James 4:1

I find then a law, that evil is present with me, the one who wills to do good. For I delight in the law of God according to the inward man. But I see another law in my members, warring against the law of my mind, and bringing me into captivity to the law of sin which is in my members. O wretched man that I am! Who will deliver me from this body of death? I thank God—through Jesus Christ our Lord! Romans 7:21-25

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  • ✇Kotaku
  • Kingdom Hearts, As Told By Steam ReviewsKenneth Shepard
    Kingdom Hearts fans waited nearly 20 years for Sora, Donald, and Goofy’s adventures through Disney worlds to come to PC, which they finally did back in 2021 via the Epic Games Store. But some fans waited even longer for most of the series to come to Steam on June 13. Whatever floats your steamboat, PC players. Use…Read more...
     

Kingdom Hearts, As Told By Steam Reviews

21. Červen 2024 v 20:35

Kingdom Hearts fans waited nearly 20 years for Sora, Donald, and Goofy’s adventures through Disney worlds to come to PC, which they finally did back in 2021 via the Epic Games Store. But some fans waited even longer for most of the series to come to Steam on June 13. Whatever floats your steamboat, PC players. Use…

Read more...

  • ✇Semiconductor Engineering
  • Chip Industry Week In ReviewThe SE Staff
    JEDEC and the Open Compute Project rolled out a new set of guidelines for standardizing chiplet characterization details, such as thermal properties, physical and mechanical requirements, and behavior specs. Those details have been a sticking point for commercial chiplets, because without them it’s not possible to choose the best chiplet for a particular application or workload. The guidelines are a prerequisite for a multi-vendor chiplet marketplace. AMD, Broadcom, Cisco, Google, HPE, Intel, Me
     

Chip Industry Week In Review

31. Květen 2024 v 09:01

JEDEC and the Open Compute Project rolled out a new set of guidelines for standardizing chiplet characterization details, such as thermal properties, physical and mechanical requirements, and behavior specs. Those details have been a sticking point for commercial chiplets, because without them it’s not possible to choose the best chiplet for a particular application or workload. The guidelines are a prerequisite for a multi-vendor chiplet marketplace.

AMD, Broadcom, Cisco, Google, HPE, Intel, Meta, and Microsoft proposed a new high-speed, low-latency interconnect specification, Ultra Accelerator Link (UALink), between accelerators and switches in AI computing pods. The 1.0 specification will enable the connection of up to 1,024 accelerators within a pod and allow for direct loads and stores between the memory attached to accelerators.

Arm debuted a range of new CPUs, including the Cortex-X925 for on-device generative AI, and the Cortex-A725 with improved efficiency for AI and mobile gaming. It also announced the Immortalis-G925 GPU for flagship smartphones, and the Mali-G725/625 GPUs for consumer devices. Additionally, Arm announced Compute Subsystems (CSS) for Client to provide foundational computing elements for AI smartphone and PC SoCs, and it introduced KleidiAI, a set of compute kernels for developers of AI frameworks. The Armv9-A architecture also added support for the Scalable Matrix Extension to accelerate AI workloads.

TSMC said its 2nm process is on target to begin mass production in 2025. Meanwhile, Samsung is expected to release its 1nm plan next month, targeting mass production for 2026 — a year ahead of schedule, reports Business Korea.

CHIPs for America and NATCAST released a 2024 roadmap for the U.S. National Semiconductor Technology Center (NSTC), identifying priorities for facilities, research, workforce development, and membership.

China is investing CNY 344 billion (~$47.5 billion) into the third phase of its National Integrated Circuit Industry Investment Fund, also known as the Big Fund, to support its semiconductor sector and supply chain, according to numerous reports.

Malaysia plans to invest $5.3 billion in seed capital and support for semiconductor manufacturing in an effort to attract more than $100 billion in foreign investments, reports Reuters. Prime Minister Anwar Ibrahim announced the effort to create at least 10 companies focused on IC design, advanced packaging, and equipment manufacturing.

imec demonstrated a die-to-wafer hybrid bonding flow for Cu-Cu and SiCN-SiCN at pitches down to 2µm at the IEEE’s ECTC conference. This breakthrough could enable die and wafer-level optical interconnects.

The chip industry is racing to develop glass for advanced packaging, setting the stage for one of the biggest shifts in chip materials in decades — and one that will introduce a broad new set of challenges that will take years to fully resolve.

Quick links to more news:

In-Depth
Global
Product News
Markets and Money
Security
Research and Training
Quantum
Events and Further Reading


In-Depth

Semiconductor Engineering published its Systems & Design newsletter featuring these top stories:


Global

STMicroelectronics is building a fully integrated SiC facility in Catania, Italy.  The high-volume 200mm facility is projected to cost over $5 billion.

Siliconware Precision Industries Co. Ltd.(SPIL) broke ground on an RM 6 billion (~$1.3 billion) advanced packaging and testing facility in Malaysia. Also, Google will invest $2 billion in Malaysia for its first data center, and a Google Cloud hub to meet growing demand for cloud services and AI literacy programs, reports AP.

In an SEC filing, Applied Materials received additional subpoenas from the U.S. Department of Commerce’s (DoC) Bureau of Industry and Security related to shipments of advanced semiconductor equipment to China. This comes on the heels of similar subpoenas issued last year.

A Chinese contractor working for SK hynix was arrested in South Korea and is being charged with funneling more than 3,000 copies of a paper on solving process failure issues to Huawei, reports South Korea’s Union News.

VSORA, CEA-Grenoble, and Valeo were awarded $7 million from the French government to build low-latency, low-power AI inference co-processors for autonomous driving and other applications.

In the U.S., the National Highway Traffic Safety Administration (NHTSA) is investigating unexpected driving behaviors of vehicles equipped with Waymo‘s 5th Generation automated driving system (ADS), with details of nine new incidents on top of the first 22.


Product News

ASE introduced powerSIP, a power delivery platform designed to reduce signal and transmission loss while addressing current density challenges.

Infineon announced a roadmap for energy-efficient power supply units based on Si, SiC, and GaN to address the energy needs of AI data centers, featuring new 8 kW and 12 kW PSUs, in addition to the 3 kW and 3.3 kW units available today. The company also released its CoolSiC MOSFET 400 V family, specially developed for use in the AC/DC stage of AI servers, complementing the PSU roadmap.

Fig. 1: Infineon’s 8kW PSU. Source: Infineon

Infineon also introduced two new generations of high voltage (HV) and medium voltage (MV) CoolGaN TM devices, enabling customers to use GaN in voltage classes from 40 V to 700 V. The devices are built using Infineon’s 8-inch foundry processes.

Ansys launched Ansys Access on Microsoft Azure to provide pre-configured simulation products optimized for HPC on Azure infrastructure.

Foxconn Industrial Internet used Keysight Technology’s Open RAN Studio solution to certify an outdoor Open Radio Unit (O-RU).

Andes Technology announced an SoC and development board for the development and porting of large RISC-V applications.

MediaTek uncorked a pair of mobile chipsets built on a 4nm process that use an octa-core CPU consisting of 4X Arm Cortex-A78 cores operating at up to 2.5GHz paired with 4X Arm Cortex-A55 cores.

The NVIDIA H200 Blackwell platform is expected to begin shipping in Q3 of 2024 and will be available to data centers by Q4, according to TrendForce.

A room-temperature direct fusion hybrid bonding system from Be Semiconductor has shipped to the NHanced advanced packaging facility in North Carolina. The new system offers faster throughput for copper interconnects with submicron pad sizes, greater accuracy and reduced warpage.


Markets and Money

Frore Systems raised $80 million for its solid-state active cooling module, which removes heat from the top of a chip without fans. The device in systems ranging from notebooks and network edge gateways to data centers.

Axus Technology received $12.5 million in capital equity funding to make its chemical mechanical planarization (CMP) equipment for semiconductor wafer polishing, thinning, and cleaning, including of silicon carbide (SiC) wafers.

Elon Musk’s xAI announced a series B funding round of $6 billion.

Micron was ordered to pay $445 million in damages to Netlist for patent infringement of the company’s DDR4 memory module technology between 2021 and 2024.

Global revenue from AI semiconductors is predicted to total $71 billion in 2024, up 33% from 2023, according to Gartner. In 2025, it is expected to jump to $91.9 billion. The value of AI accelerators used in servers is expected to total $21 billion in 2024 and reach $33 billion by 2028.

NAND flash revenue was $14.71 billion in Q1 2024, an increase of 28.1%, according to TrendForce.

The optical transceiver market dipped from $11 billion in 2022 to $10.9 billion in 2023, but it is predicted to reach $22.4 billion by 2029, driven by AI, 800G applications, and the transition to 200G/lane ecosystem technologies, reports Yole.

Yole also found that ultra-wideband technical choices and packaging types used by NXP, Apple, and Qorvo vary considerably, ranging from 7nm to 90nm, with both CMOS and finFET transistors.

The global market share of GenAI-capable smartphones increased to 6% in Q1 2024 from 1.3% in the previous quarter, reports Counterpoint. The premium segment accounted for over 70% of sales with Samsung on top and contributing 58%. Meanwhile, global foldable smartphone shipments were up 49% YoY in Q1 2024, led by Huawei, HONOR, and Motorola.


Security

The National Science Foundation awarded Worcester Polytechnic Institute researcher Shahin Tajik almost $0.6 million to develop new technologies to address hardware security vulnerabilities.

The Hyperform consortium was formed to develop European sovereignty in post-quantum cryptography, funded by the French government and EU credits. Members include IDEMIA Secure Transactions, CEA Leti, and the French cybersecurity agency (ANSSI).

In security research:

  • University of California Davis and University of Arizona researchers proposed a framework leveraging generative pre-trained transformer (GPT) models to automate the obfuscation process.
  • Columbia University and Intel researchers presented a secure digital low dropout regulator that integrates an attack detector and a detection-driven protection scheme to mitigate correlation power analysis.
  • Pohang University of Science and Technology (POSTECH) researchers analyzed threshold switch devices and their performance in hardware security.

The U.S. Defense Advanced Research Projects Agency (DARPA) seeks proposals for its AI Quantified program to develop technology to help deploy generative AI safely and effectively across the Department of Defense (DoD) and society.

Vanderbilt University and Oak Ridge National Laboratory (ORNL) partnered to develop dependable AI for national security applications.

The Cybersecurity and Infrastructure Security Agency (CISA) issued a number of alerts/advisories.


Research and Training

New York continues to amp up their semiconductor offerings. NY CREATES and Raytheon unveiled a semiconductor workforce training program. And Syracuse  University is hosting a free virtual course focused on the semiconductor industry this summer.

In research news:

  • A team of researchers at MIT and other universities found that extreme temperatures up to 500°C did not significantly degrade GaN materials or contacts.
  • University of Cambridge researchers developed adaptive and eco-friendly sensors that can be directly and imperceptibly printed onto biological surfaces, such as a finger or flower petal.
  • Researchers at Rice University and Hanyang University developed an elastic material that moves like skin and can adjust its dielectric frequency to stabilize RF communications and counter disruptive frequency shifts that interfere with electronics when a substrate is twisted or stretched, with potential for stretchable wearable electronic devices.

The National Science Foundation (NSF) awarded $36 million to three projects chosen for their potential to revolutionize computing. The University of Texas at Austin-led project aims to create a next-gen open-source intelligent and adaptive OS. The Harvard University-led project targets sustainable computing. The University of Massachusetts Amherst-led project will develop computational decarbonization.


Quantum

Singapore will invest close to S$300 million (~$222 million) into its National Quantum Strategy to support the development and deployment of quantum technologies, including an initiative to design and build a quantum processor within the country.

Several quantum partnerships were announced:

  • Riverlane and Alice & Bob will integrate Riverlane’s quantum error correction stack within Alice & Bob’s larger quantum computing system based on cat qubit technology.
  • New York University and the University of Copenhagen will collaborate to explore the viability of hybrid superconductor-semiconductor quantum materials for the production of quantum chips and integration with CMOS processes.
  • NXP, eleQtron, and ParityQC showed off a full-stack, ion-trap based quantum computer demonstrator for Germany’s DLR Quantum Computing Initiative.
  • Photonic says it demonstrated distributed entanglement between quantum modules using optically-linked silicon spin qubits with a native telecom networking interface as part of a quantum internet effort with Microsoft.
  • Classiq and HPE say they developed a rapid method for solving large-scale combinatorial optimization problems by combining quantum and classical HPC approaches.

Events and Further Reading

Find upcoming chip industry events here, including:

Event Date Location
Hardwear.io Security Trainings and Conference USA 2024 May 28 – Jun 1 Santa Clara, CA
SWTest Jun 3 – 5 Carlsbad, CA
IITC2024: Interconnect Technology Conference Jun 3 – 6 San Jose, CA
VOICE Developer Conference Jun 3 – 5 La Jolla, CA
CHIPS R&D Standardization Readiness Level Workshop Jun 4 – 5 Online and Boulder, CO
SNUG Europe: Synopsys User Group Jun 10 – 11 Munich
IEEE RAS in Data Centers Summit: Reliability, Availability and Serviceability Jun 11 – 12 Santa Clara, CA
3D & Systems Summit Jun 12 – 14 Dresden, Germany
PCI-SIG Developers Conference Jun 12 – 13 Santa Clara, CA
AI Hardware and Edge AI Summit: Europe Jun 18 – 19 London, UK
DAC 2024 Jun 23 – 27 San Francisco
Find All Upcoming Events Here

Upcoming webinars are here, including integrated SLM analytics solution, prototyping and validation of perception sensor systems, and improving PCB designs for performance and reliability.


Semiconductor Engineering’s latest newsletters:

Automotive, Security and Pervasive Computing
Systems and Design
Low Power-High Performance
Test, Measurement and Analytics
Manufacturing, Packaging and Materials

The post Chip Industry Week In Review appeared first on Semiconductor Engineering.

  • ✇Ars Technica - All content
  • Matrix multiplication breakthrough could lead to faster, more efficient AI modelsBenj Edwards
    Enlarge / When you do math on a computer, you fly through a numerical tunnel like this—figuratively, of course. (credit: Getty Images) Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually accelerate AI models like ChatGPT, which rely heavily on matrix multiplication to function. The findings, presented in two recent papers, have led to w
     

Matrix multiplication breakthrough could lead to faster, more efficient AI models

8. Březen 2024 v 22:07
Futuristic huge technology tunnel and binary data.

Enlarge / When you do math on a computer, you fly through a numerical tunnel like this—figuratively, of course. (credit: Getty Images)

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually accelerate AI models like ChatGPT, which rely heavily on matrix multiplication to function. The findings, presented in two recent papers, have led to what is reported to be the biggest improvement in matrix multiplication efficiency in over a decade.

Multiplying two rectangular number arrays, known as matrix multiplication, plays a crucial role in today's AI models, including speech and image recognition, chatbots from every major vendor, AI image generators, and video synthesis models like Sora. Beyond AI, matrix math is so important to modern computing (think image processing and data compression) that even slight gains in efficiency could lead to computational and power savings.

Graphics processing units (GPUs) excel in handling matrix multiplication tasks because of their ability to process many calculations at once. They break down large matrix problems into smaller segments and solve them concurrently using an algorithm.

Read 11 remaining paragraphs | Comments

One Minute of Sora by OpenAI: Over an Hour of Generation Time

21. Únor 2024 v 13:47
OpenAI Sora

OpenAI, the renowned research organization behind GPT-3 and DALL-E 2, recently unveiled its latest innovation: Sora, a text-to-video model. It is capable of generating high-quality videos up to a ...

The post One Minute of Sora by OpenAI: Over an Hour of Generation Time appeared first on Gizchina.com.

  • ✇Ars Technica - All content
  • Will Smith parodies viral AI-generated video by actually eating spaghettiBenj Edwards
    Enlarge / The real Will Smith eating spaghetti, parodying an AI-generated video from 2023. (credit: Will Smith / Getty Images / Benj Edwards) On Monday, Will Smith posted a video on his official Instagram feed that parodied an AI-generated video of the actor eating spaghetti that went viral last year. With the recent announcement of OpenAI's Sora video synthesis model, many people have noted the dramatic jump in AI-video quality over the past year compared to the infamous spa
     

Will Smith parodies viral AI-generated video by actually eating spaghetti

20. Únor 2024 v 15:50
The real Will Smith eating spaghetti, parodying an AI-generated video from 2023.

Enlarge / The real Will Smith eating spaghetti, parodying an AI-generated video from 2023. (credit: Will Smith / Getty Images / Benj Edwards)

On Monday, Will Smith posted a video on his official Instagram feed that parodied an AI-generated video of the actor eating spaghetti that went viral last year. With the recent announcement of OpenAI's Sora video synthesis model, many people have noted the dramatic jump in AI-video quality over the past year compared to the infamous spaghetti video. Smith's new video plays on that comparison by showing the actual actor eating spaghetti in a comical fashion and claiming that it is AI-generated.

Captioned "This is getting out of hand!", the Instagram video uses a split screen layout to show the original AI-generated spaghetti video created by a Reddit user named "chaindrop" in March 2023 on the top, labeled with the subtitle "AI Video 1 year ago." Below that, in a box titled "AI Video Now," the real Smith shows 11 video segments of himself actually eating spaghetti by slurping it up while shaking his head, pouring it into his mouth with his fingers, and even nibbling on a friend's hair. 2006's Snap Yo Fingers by Lil Jon plays in the background.

In the Instagram comments section, some people expressed confusion about the new (non-AI) video, saying, "I'm still in doubt if second video was also made by AI or not." In a reply, someone else wrote, "Boomers are gonna loose [sic] this one. Second one is clearly him making a joke but I wouldn’t doubt it in a couple months time it will get like that."

Read 2 remaining paragraphs | Comments

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