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MIPS released its P8700 CPU based on the RISC-V computing architecture to target driver assistance and autonomous vehicle applications.
The San Jose, California-based company, which focuses on developing efficient and configurable intellectual property compute, licenses its designs to other chip makers. Today, it is announcing the general availability launch of the MIPS P8700 Series RISC-V Processor.
Designed to meet the low-latency, highly intensive data movement demands of the most advanced automotive applications such as ADAS (advanced driver assistance system) and autonomous vehicles, the P8700 delivers accelerated compute, power efficiency and scalability, said Sameer Wasson, CEO of MIPS, in an interview with VentureBeat.
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“Automotive is a big segment where we focus. It continues being a very exciting place. Some companies came and some disappeared,” Wasson said. “They lost interest. They came out of COVID and refilled their inventory. But what’s happening in the industry right now is very interesting. I think autonomy is now coming back to that steady growth rate.”
He added, “It is one of the biggest driving forces to continue innovating in terms of bringing better solutions. If you think about the solutions today, most of the deployments in vehicles are driven by what used to be vehicle technology. That was basic microcontrollers, simple stuff. They could open and close doors, run internal combustion engines. As autonomy grows, you’re going to see compute needs evolve toward more AI network compute. That allows you to have higher levels of autonomy.”
“We have technology and we have a play in making it much more mainstream than it has been,” he said.
Typical solutions for ADAS and autonomous driving rely on a brute-force approach of embedding a higher number of cores at higher clock rates driving synthetic, albeit unrealistic and unrealized performance.
The P8700 with its multi-threaded and power-efficient architecture allows MIPS customers to implement fewer CPU cores and much lower thermal design power (TDP) than the current market solutions, thereby allowing OEMs to develop ADAS solutions in an affordable and highly scalable manner. It also mitigates the system bottlenecks of data movement inefficiency by providing highly efficient, optimized and lower power latency sensitive solution specifically tailored for interrupt laden multi-sensor platforms.
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“If you look at the RISC-V space overall, I think these spaces are ready for disruption, with a chance for new architectures coming in,” Wasson said. “Otherwise, EVs will be much more expensive than they need to be.”
For Level 2 or higher ADAS systems with AI Autonomous software stack, the MIPS P8700 can also offload core processing elements that cannot be easily quantized in deep learning and reduced by sparsity-based convolution processing functions, resulting in a greater than 30% better AI Stack software utilization and efficiency.
“The automotive market demands CPUs which can process a large amount of data from multiple sensors in real-time and feed the AI Accelerators to process in an efficient manner,” said Wasson. “The MIPS Multi-threading and other architectural hooks tailored for automotive applications, make it a compelling core for data intensive processing tasks. This will enable automotive OEMs to have high performance compute systems which consume less power and better utilize of AI Accelerators.”
The MIPS P8700 core, featuring multi-core/multi-cluster and multi-threaded CPU IP based on the RISC-V ISA, is now progressing toward series production with multiple major OEMs. Key customers like Mobileye (Nasdaq: MBLY) have embraced this approach for future products for self-driving vehicles and highly automated driving systems.
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“MIPS has been a key collaborator in our success with the EyeQ™ systems-on-chip for ADAS and autonomous vehicles,” said Elchanan Rushinek, executive vice president of engineering for Mobileye, in a statement. “The launch of the MIPS P8700 RISC-V core will help drive our continued development for global automakers, enabling greater performance and excellent efficiency in cost and power usage.”
The P8700 Series is a high-performance out-of-order processor that implements the RISC-V RV64GC architecture, including new CPU and system-level features designed for performance, power, area form factors and additional proven features built on legacy MIPS micro-architecture deployed in more than 30+ car models today across the global OEM market.
Engineered to deliver industry-leading compute density, MIPS’ latest processor harnesses three key architectural features, including MIPS out-of-order multi-threading, which enables execution of multiple instructions from multiple threads (harts) every clock cycle, providing higher utilization and CPU efficiency.
It also has coherent multi-core, multi-cluster, where the P8700 Series scales up to 6 coherent P8700 cores in a cluster with each cluster supporting direct attach accelerators.
And it has functional safety designed to meet the ASIL-B(D) functional safety standard (ISO26262) by incorporating several fault detection capabilities such as end-to-end parity protection on address and data buses, parity protection on software visible registers, fault bus for reporting faults to the system, and more.
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The MIPS P8700 processor is now available to the broader market, with key partnerships already in place. Shipments with OEM launches are expected shortly. MIPS has been around for three decades and billions of its chips have shipped to date.
In the past, Wasson said vendors were using the wrong computer architecture, which was built for entertainment and screen applications, rather than hardcore AI problems.
“What we are trying to do is go focus on building compute for ADAS and higher levels of autonomy, from the ground up,” he said.
Vasanth Waran, worldwide head of business development at MIPS, said in an interview with VentureBeat that other architectures have been pushing performance forward through brute force, adding more complexity and scaling, but not necessarily coming up with affordable designs.
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“If you want to bring it to a larger market, you want autonomy to be affordable, and you want it to scale,” Waran said. “There needs to be a more pure approach, given the lack of a better word, and that’s what motivated us. The 8700 from the ground up is where you can move data seamlessly between different parts of a design. If you look at a car, you have a lot of sensors with data coming in, from cameras, radar, LiDAR, in some cases, and the inputs from these need to be processed. It needs to be pushed out to an AI accelerator system. And then that data needs to help you make a decision.”
MIPS’ designs try to offload a lot of the performance from AI accelerators, whether it’s in pre-processing or post-processing. With a general-purpose processor, new software can be supported, and such software for AI accelerators is changing all the time.
RISC-V has been building up its ecosystem in the past couple of years, and its ecosystem is now at the right size to support applications.
“The other big thing that’s happening is software defined vehicles. Our products can be used for a holistic software-defined vehicle architecture,” Waran said. “We’re focused completely on the autonomous journey.”
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Wasson said his company will be at the CES 2025 event coming up in Las Vegas in January, where pitching automakers will be a big task for the company.
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Seagrass punches above its weight. The marine plant only occupies 0.1% of the ocean floor but can be credited with supporting marine ecosystems of plants and fish, filtering ocean water, and capturing quite a bit of carbon. Seagrass is also being destroyed, due to climate change and other factors, with meadows reducing 7% globally each year. Ulysses Ecosystem Engineering wants to restore it.
Ulysses’ autonomous robot can be loaded with seeds and programmed to go to specific areas of the ocean floor to plant seagrass. Akhil Voorakkara, a co-founder and CEO at San Francisco-based Ulysses, told TechCrunch that the robot they’ve built has been able to speed up restoration by 100x compared to having volunteers plant the grass seeds by hand and at a fraction of the cost of other robots.
Jamie Wedderburn, now CTO, got the idea for the company while on a surf trip with friends on the West Coast of Scotland in early 2023. One of his friends mentioned a recent awful volunteering experience they had that involved planting seagrass on a particularly harsh day of Scottish weather. More than 40 volunteers painfully planted seagrass that ended up just getting wiped away by rough conditions.
Wedderburn hadn’t known about the importance of seagrass, and hearing this story sent him down a rabbit hole. He thought there must be a way to use technology to make processes like that better. Wedderburn pitched the idea to Voorakkara, who proceeded to also fall down the same rabbit hole. The company’s other two co-founders, Colm O’Brien and Will O’Brien, had similar reactions.
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“I knew that would be fun immediately,” Will O’Brien told TechCrunch. “Also getting the opportunity to build a mission-driven company that works primarily in the oceans, and is really focused on nature and biodiversity, is just like, you know, it was that was extremely compelling to me as well. Growing up as a kid, my hero was Steve Irwin.”
Voorakkara said that the team decided to pursue this problem by building a robot because, while none of them had marine biology experience, they did have experience building robots. They quickly made a 3D prototype which wasn’t waterproof and leaked when they used it, but it worked well enough at injecting sesame seeds, to show them there was something there. Once they had conviction they turned to experts for help.
“None of us are marine biologists,” Voorakkara said. “You won’t get anything unless you ask and we did ask for help and advice very early on in our journey to the top people working in seagrass restoration and making sure it wasn’t crazy. These people were super excited about what we are doing and were super willing to work with us.”
Ulysses launched in early 2024 and has since earned nearly $1 million in revenue from both private companies and government organizations. The startup has partnerships with multiple government agencies in places like Florida and Australia for large-scale restoration projects too.
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The startup is now emerging from stealth and announcing a $2 million pre-seed funding round led by Lowercarbon Capital with participation from VCs Superorganism and ReGen Ventures, in addition to angel investors. Voorakkara said the startup will use the funds to bolster its team of five by adding engineers and people focused on go-to-market strategies.
Timing is on Ulysses’ side, as many governments are putting more emphasis and urgency on restoring seagrass meadows. Earlier this year the European Union passed a new regulation focused on restoring different habitats by 2030 and 2050, with seagrass specifically named.
Voorakkara said that this month the company will be testing a new capability for the robot: being able to harvest seeds from approved seagrass beds and then planting those seeds where they are needed.
While seagrass is currently the company’s main focus, they think of it as the beginning. Will O’Brien said that the tech is really autonomous drones connected to a main platform so it can expand into other areas like coastal management, coastal security and other types of restoration.
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“The oceans really are this frontier in humanity that is extremely under explored,” O’Brien said. “There is not a lot of novel technological solutions and it’s because it’s an extremely difficult domain, dealing with currents, [it’s] very unforgiving when you have all these things. [We want to] bring SpaceX levels of innovation to this new domain here on earth.”
There are other companies looking to build underwater robots too. Terradepth is one that has raised more than $30 million in VC to focus on mapping the ocean floor for both commercial and government goals. Eelume is another out of Norway that is focused on ocean discovery.
“In five years, we don’t want to just be doing seagrass restoration, we want to be managing hundreds of kilometers of coastline,” Voorakkara said. “We want to supercharge groups like NOAA the [United States] Coast Guard and everyone working on serving the ocean and protecting it in a much more efficient manor.”
Audi is making a big change to its branding for the Chinese market with a new logo that lacks the automaker’s famous four-ring emblem. Today in Shanghai, the company showed off the new “AUDI” logo — yes, it’s just Audi in all caps — on the front of a new E concept electric Sportback that notably lacks its broadly used “E-Tron” branding.
In a press release, Audi’s CEO Gernot Döllner said it’s hoping to tap into China’s “more tech-savvy” customers who “expect leading connectivity as well as automated driving.” Reuters reported in August that Audi was planning a rebrand for China, where the automaker sold less than 10,000 vehicles in the country in the first half of 2024.
Audi says the AUDI E concept represents a preview of three upcoming mid- and full-sized models it will introduce starting in mid-2025. Audi formed a partnership with Chinese state-owned SAIC Motors and placed its former electric models head, Fermín Soneira, as the new team’s CEO. A new Advanced Digitized Platform was developed through the partnership, featuring an 800-volt architecture that underpins the E concept.
Soneir, who has been with Audi parent company Volkswagen for 25 years, says the partnership is set up to “jointly organize development, purchasing, production, and sales.”
ChatGPT search (the new search engine built into ChatGPT that combines conversational AI with real-time information straight from the web) has recently launched for everybody who was signed up to the waitlist, or is a ChatGPT Plus subscriber.
What’s more, OpenAI recently leveled up ChatGPT search with a shiny new Google Chrome extension that means you can use it from the address bar. If you’re already using Google Chrome, this makes for a much more useful way to find and gather up-to-date information while simultaneously giving you more personalized filters and a way to leverage that information for new and fun activities.
Here are three practical and creative ways to take full advantage of ChatGPT search.
1. Trend spotting
Keeping up with every new trendy hobby, TV show, book, or game that I might enjoy is impossible. Add in the things my friends and family care about that I want to be aware of for conversation (and birthday present planning), and no one who isn’t a teenager could keep up, even with hours on social media.
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ChatGPT search can handle that for me now. The AI can look up all of the latest news on subjects of interest to me and explain the latest buzz about those I am just curious about. As the AI adds more about me to its memory, it’s going to be even better at curating those details. Asking “What’s trending today?” will get me the new video game buzz for games I might like as well as the conclusion of the latest episode of Survivor, which I need to know to be able to keep up when going to dinner with my in-laws.
2. Recipe roulette
I like looking up new recipes to try, especially if I don’t want to go shopping and just use ingredients I have on hand. ChatGPT has always had the ability to come up with meal ideas, but the hallucinations and offline database meant I never really trusted what the AI wrote. Now, when I ask for specific kinds of dishes using ChatGPT search, like vegetarian meat sauce for pasta or the best methods for making gravlax, ChatGPT will not only remember previous requests and either reshare them or ask if I want new ideas, but it will actually use recipe websites to find them for me.
Even if I ask for recipes based on random ingredients like sweet potatoes, quinoa, and a mixed bag of herbs, ChatGPT search will find options that fit my palette without me worrying that it will suggest rocks as an appetizer.
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3. Instant trivia host
Have you ever been hanging out with friends and felt like playing a trivia game without having to go to a bar? Well, ChatGPT search can use web search to pull together facts on everything from recent Oscar or Grammy award winners to the latest TikTok dance trends and act as your host for the night. I’ve found the right prompt can even get the AI to inject some humor into the game, while the web search keeps it from making up answers.
Even if you’re not playing a game, having your own personal fact-checker is nice. Sure, there’s Google, but ChatGPT search means you don’t have to open a new tab or click through multiple websites (assuming Google AI Overview doesn’t have an answer). And, because it looks online, you don’t have to worry nearly as much about the response being a hallucination.
If you have watched any football – or soccer – over the past few years, you will know that the game has been consumed by controversies over its new refereeing technology. The video assistant referee (VAR) system was introduced to the English Premier League in 2019 to reduce refereeing errors and get more decisions right. Instead, it has created new kinds of uncertainty and undermined our understanding of fundamental rules like offside and handball. It has also infuriated fans, who can often be heard chanting “it’s not football any more” after a long-winded VAR check.
It is fair to say that football fans like to get irate, especially when refereeing decisions go against their team. But as I argue in my new book, I Can’t Stop Thinking About VAR, there’s more to this than meets the eye. As someone whose job involves developing new methods of measuring educational attainment, I have thought long and hard about the reasons why VAR has been so frustrating. I believe its problems relate to the challenge of pinning down objective reality, the difficulty of precise measurement and the human dislike of uncertainty.
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What I have also come to realise, however, is that VAR exemplifies the limits of rationality in many walks of life far beyond the football field. As such, a brief exploration of the history of measurement more broadly – from attempts to pin down the boiling point of water in the 18th century to the struggle to accurately assess the…
The developers behind inZOI announced a 2025 early access release date on Thursday despite assurances that the hyper-realistic life sim would still launch sometime this year.
Game producer and director Hyungjun “Kjun” Kim posted an open letter to the community on the inZOI Discord saying that the game will be coming out on March 28, 2025, instead of in late 2024 so that the developers can give the game “the best possible start.”
While inZOI never received a concrete release date until Thursday, a spokesperson for the team at Krafton told PC Gamer just last month that the plan was to release it in 2024. In August, the studio released inZOI: Character Studio on Steam, a demo of its character creator. It was only up for five days, but immediately drew the attention of players who wanted to re-create fictional characters and real-life people with ridiculous amounts of detail.
inZOI: Character Studio Official Announcement
Following feedback from that demo, along with various playtests, Kim said the team needed to work more to give players “the most complete experience possible.”
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“It is said that among primates, raising a human child to adulthood takes the longest time because humans must be prepared to endure and adapt to their ever-changing surroundings,” Kim wrote. “The extra love and care that is required to properly nurture a child is how I see our journey with inZOI—a game that we will be nurturing together from its Early Access birth. This change in our release date represents our dedication to giving inZOI a stronger foundation, so we can embark on this journey together in the best way possible.”
InZOI is poised to be a real The Sims competitor, and is one of the few still due for release after Paradox Interactive canceled its entry in the genre, Life by You, before it could even reach early access. At the time of this writing, it’s the 12th most wishlisted game on Steam.
Caroline Ellison, former chief executive officer of Alameda Research LLC, arrives at court in New York, US, on Tuesday, Sept. 24, 2024.
Michael Nagle | Bloomberg | Getty Images
Caroline Ellison, the star witness in the prosecution of FTX founder Sam Bankman-Fried, reported to a low-security federal prison in Connecticut on Thursday, according to a spokesman for the Bureau of Prisons.
In September, Ellison was sentenced to two years in prison and ordered to forfeit $11 billion for her role in the massive fraud and conspiracy that doomed the cryptocurrency exchange once valued at $32 billion.
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The federal Probation Department had recommended that Judge Lewis Kaplan sentence Ellison to three years of supervised release, with no time behind bars. Defense lawyers also had requested a punishment that didn’t include prison time.
While Kaplan praised Ellison for her extensive cooperation with prosecutors — which led to the conviction of Bankman-Fried — the judge said her criminal sentence needed to deter other potential bad actors from committing fraud.
Ellison ran Alameda Research, which was a sister hedge fund of FTX. She was also romantically involved with Bankman-Fried.
Alameda received much of the $8 billion in customer funds looted by Bankman-Fried from FTX. The stolen money was used for Alameda’s trading operation and other purposes.
Kaplan called FTX the greatest financial fraud perpetrated in the history of the U.S., and told the court in Manhattan during the sentencing that a “literal get-out-of-jail-free card I can’t agree to.”
“I’ve seen a lot of cooperators over the years and I’ve never seen one quite like Miss Ellison,” said Kaplan, who also said he believed that Ellison was genuinely remorseful for her crimes and that her cooperation carried a steep price for her emotionally.
Late last month, Former FTX executive Nishad Singh was sentenced to time served and three years of supervised release, becoming the fourth ex-employee of the collapsed crypto exchange to be punished.
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At her sentencing, Ellison read from a statement in a shaky voice while crying at times as she apologized to the people she had hurt and said she was deeply ashamed. She also said she was sorry for not being brave enough to walk away from FTX and Bankman-Fried.
Kaplan allowed Ellison to remain free on bail until surrendering to prison either on or after Nov. 7.
Bankman-Fried chose to stand trial and was convicted of all seven criminal fraud charges against him. He was sentenced to 25 years in prison in March and also was ordered to pay $11 billion in forfeiture by Kaplan.
Both Bankman-Fried and Ellison had faced the same statutory maximum sentence of about 110 years in prison for their crimes.
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