iOS 18.1 developer beta introduces Apple Intelligence: Check new features

iOS 18.1 developer beta introduces Apple Intelligence: Check new features


Apple Intelligence (Source: Apple)

Apple has released iOS 18.1 developer beta, packed with an initial set of Apple Intelligence features. Introduced in June at its Worldwide Developers Conference (WWDC), the full suite of Apple Intelligence will be available in beta later this year for iPhone, iPad, and Macs.


Ahead of the public release, the US-based technology giant has rolled out the beta for developers to test the upcoming features as it works on adding fineness to the platform. Though the iOS 18.1 developer beta is available for testing on all eligible iPhone models, the Apple Intelligence features are exclusive to the iPhone 15 Pro and iPhone 15 Pro models.


iOS 18.1 developer beta: What is new


Messages


Messages now have the “Smart Reply” option, which analyses the content and context and offers suggestions. Moreover, eligible iPhones now show a summary of multiple message notifications on the lock screen.


Writing Tools


On iPhones running on iOS 18.1 developer beta, users can select text to access Writing Tools for summaries and other features such as proofreading text for spelling and grammar, word choice and sentence structure mistakes. Apple Intelligence can help users in rewriting the content and modifying the tone without impacting the content. Tones include Friendly, Professional and Concise. Users can also create paragraphs, pull out key points, make a list or create a table in addition to summarising text. Summaries are available in Mail, Messages and more.


Users can accept all suggestions by tapping or they can go through each one of them with explanations.


Siri


Siri now wakes up with a glow around the edges of the iPhone display when it is activated on iPhone, iPad, and CarPlay and it animates according to the sound of the voice of the user to indicate that it is listening.


After double tapping at the bottom of the display, the type-to-Siri interface appears to let users type requests. Siri’s understanding has become contextual and it can also answer questions regarding Apple products.


Mail


Mail now has a summarise button and you can also see a brief summary of the email rather than just a few initial sentences. Mail also has the capacity to show sensitive messages first in addition to a feature to smart reply. Moreover, multiple notifications will be summarised on the lock screen.


Photos


Users can create Memory Movie with a description and add specific images to the memory while creating the prompt. Photos now has natural language search and you can search specific moments in video clips. Search also offers smart complete suggestions.


Transcription


Users can record audio and get a transcript in addition to a summary of the transcript in Notes and other apps.


Focus Mode


A dedicated “Reduce Interruptions Focus Mode” will show only important notifications. Users can toggle to turn on Intelligent Breakthrough and Silencing to let important notifications interrupt you while muting notifications that are not important. Users can override notification settings for specific people just like how it worked before iOS 18.1.


Phone


Phone app has been updated with an option to record calls. All participants are notified that the call is being recorded before the recording starts and then the recorded phone calls are saved in the notes app where users can view the transcript and generate a summary from the transcript.


Safari


Apple intelligence can summarise an article for users when reading an article in Reader Mode.


Apple Intelligence Report


Users can access an Apple Intelligence Report that will let them export the Apple Intelligence data in the Privacy and Security section of the Settings app. FaceID is required to export Apple Intelligence data.

First Published: Jul 30 2024 | 11:18 AM IST



Source link

Meta to let users to create custom AI characters through AI Studio

Meta to let users to create custom AI characters through AI Studio


Users can share their AI characters on the social media giant’s various platforms (Photo: Reuters)


Meta Platforms on Monday said it will roll out a new tool called AI Studio that will allow users to create, share and design personalized AI chatbots.

 


The AI Studio will allow users to create customized AI characters and also allow Instagram creators to use the AI characters “as an extension of themselves” that can handle common DM questions and story replies, Meta said.

 


Users can share their AI characters on the social media giant’s various platforms.

 


The new tool is built with Meta’s Llama 3.1, the biggest version of its mostly free artificial intelligence models released last week, which is available in multiple languages and has performance metrics that compete with paid models from rivals like OpenAI.

 


ChatGPT maker OpenAI is working on a project code-named “Strawberry,” the details of which are tightly kept secret even within OpenAI, as the startup races to show that the types of models it offers are capable of delivering advanced reasoning capabilities, Reuters exclusively reported earlier in July.

First Published: Jul 30 2024 | 11:02 AM IST



Source link

Samsung makes progress in closing gap in making AI memory chips for Nvidia

Samsung makes progress in closing gap in making AI memory chips for Nvidia


By Yoolim Lee and Ian King

Samsung Electronics Co., after a series of setbacks in developing the type of memory chips crucial for the artificial intelligence market, is beginning to make progress in narrowing the gap with rival SK Hynix Inc. 

 


Samsung has made important headway in its comeback, including winning the long-awaited approval from AI giant Nvidia Corp. for a version of its high-bandwidth memory chips called HBM3, according to people familiar with the matter. It also anticipates approval for the next generation, HBM3E, in two to four months, said the people, who asked not to be identified discussing internal developments. 


The advances come after months of stumbles, including development missteps that allowed the smaller SK Hynix to jump out to a huge lead in the fast-growing sector. It’s unusual — and humbling — for South Korea’s largest company to be playing this kind of catchup. Historically, Samsung has led the way in the memory chip market, capitalizing on its scale and engineering expertise. As the company struggled in the HBM field, it took the highly unusual step of replacing the head of its semiconductor division in May. 


“We’ve never seen Samsung in this position,” said Jim McGregor, an analyst at Tirias Research. “The industry and Nvidia more than anyone need Samsung, but they need Samsung to be firing on all cylinders.” 


The company declined to comment on any specific partners but said, in general, it’s collaborating closely with customers and testing is proceeding smoothly.

Samsung’s latest accomplishments are likely to position the company to capitalize on the booming demand for AI products. The HBM market is projected to rise from $4 billion last year to $71 billion in 2027, according to Morgan Stanley. The faster Samsung gets the blessing of Nvidia, the leader in making AI accelerators, the more revenue it can reap from that increase.


“Investors’ perception on Samsung could change soon,” Morgan Stanley analysts Shawn Kim and Duan Liu wrote in a research report this month. “Things are improving quickly.”


The pair anointed Samsung their top stock pick in the report because they figure the company could grab incremental HBM market share of at least 10 per cent in 2025, adding about $4 billion in revenue. While it would still trail SK Hynix in the field, that progress could shift investor perceptions and lift shares.


Samsung is likely to face questions about its HBM strategy when it reports final second-quarter earnings on Wednesday. It’s not clear how much detail the company will provide.


While Samsung appears on track to secure Nvidia’s seal of approval by November, the company is still struggling to resolve certain issues, with unpredictable outcomes given the complexity of AI chips. There’s a chance its timeline will slip into 2025, the people said.


Samsung’s missteps came during an unusual period for the company. Executive Chairman Jay Y. Lee spent years battling prosecutors over bribery and corruption allegations, and, in the meantime, senior leaders didn’t see HBM as a priority. Indeed, the market was a rounding error until OpenAI unveiled ChatGPT in late 2022 and set off a frenzy of demand for the Nvidia chips used to train AI models.


While SK Hynix was ready for the surge, Samsung struggled with the complex engineering problems of the new chips. HBM is made up of a collection of DRAM chips stacked on top of each other, eight high in the most recent generation. Each layer generates substantial heat, and then they are packed with Nvidia’s graphics processing unit, or GPUs, which can reach 100 degrees C on their own. The entire stack risks melting down without the proper dissipation and cooling materials.


“As you increase those layers, the challenge of developing a reasonable yield becomes more difficult,” said Jake Silverman, an analyst with Bloomberg Intelligence. “The issue is thermal: it runs hot because it’s stacked DRAM. It’s really close to the GPU, which runs even hotter.” 


Samsung had trouble solving this so-called thermal coupling, according to one of the people, who asked not to be named discussing confidential work. In May, the company took dramatic action: It announced Kyung Kye-hyun, the head of the semiconductor division, would step aside and Jun Young-hyun would take his place.


Jun, who joined Samsung in 2000 and helped develop its DRAM and flash memory chips, quickly stepped up the pressure to find solutions. The 63-year-old convened a series of meetings to probe technical details and find the root cause of the problem. In one meeting that lasted hours without break, he lamented that HBM could be part of a broader problem, according to a person familiar with the matter. 

Samsung risked falling behind not just on memory chip technicalities, but also in terms of urgency in innovation. To boost collaboration, he reorganized the team dedicated to HBM and appointed a new head.  

chart


Samsung uses a heat management strategy called thermal compression non-conductive film, or TC-NCF, to insulate each layer of DRAM. SK Hynix, on the other hand, pioneered an alternative to improve heat dissipation and production yields.


Yet Samsung opted to stick with TC-NCF and improve it, rather than considering other approaches. A company spokesperson said TC-NCF is “well-proven technology” that it will use in future products. 


Ultimately, the company modified the HBM design to address heating and power consumption issues, the people said. That led to the approval of HBM3 for Nvidia.


Samsung said that Jun, since taking over, has prioritized the company’s culture of collective discussion and persistence in solving problems. It added there has been “no issue related to heating and power consumption in our HBM products” and it has made “no design changes” for specific customers.


Samsung’s saving grace may be that much of AI’s growth lies ahead. Tech firms like Microsoft Corp., Google-parent Alphabet Inc., Amazon.com Inc., Apple Inc. and Meta Platforms Inc. are all investing huge sums to develop their capabilities. 


Samsung has been producing HBM3 chips since the second half of last year, according to details from its quarterly reports. Companies like Google, which design their own chip capabilities, are expected to continue using HBM3 for much of this year. Samsung has started supplying HBM3 to Nvidia for its H20 chip, a product customized for China to meet US export controls.


As for HBM3E, the technology hit the market for the first time this year as Nvidia paired the SK Hynix chip with its own H200. Nvidia will keep using HBM3E with virtually all of its products through 2025 and chip rivals will stick with it even in 2026, Sanford C. Bernstein analysts said in a July report. 


“Samsung is late, but the window of HBM3E will remain open for Samsung to catch up,” the analysts, led by Mark Li, wrote. 


In a sign of its tardiness, Micron Technology Inc. announced earlier this year that Nvidia had approved its HBM3E chips for use with the company’s AI gear. Micron, which has historically trailed its Korean rivals in scale, is now claiming leadership in some areas of memory manufacturing and product introduction, a further sign of the erosion of Samsung’s dominance.


One significant advantage Samsung holds however is its financial resources and production capacity. Once it meets Nvidia’s criteria for approval, it can ramp up output rapidly, addressing shortages that have held back Nvidia and other AI advocates.

“Micron and Hynix don’t have the capacity yet to support the entire market,” said Bloomberg Intelligence’s Silverman. Nvidia Chief Executive Officer Jensen Huang “wants to encourage them” because he needs more supply, he added.

Chart


SK Hynix isn’t letting up. It’s in the rare position of stealing the spotlight from its higher-profile rival — its shares have surged more than 150 per cent since the start of 2023, more than triple Samsung’s performance. 


SK Hynix said last week it’s accelerating production of HBM3E products to grab growth of more than 300%. The company also said it plans to mass produce next-generation, 12-layer HBM3E chips this quarter and start supplying a customer in the fourth quarter, a likely indication that certification from Nvidia is imminent. 


Under Jun’s leadership, Samsung is making progress. It developed its own 12-layer HBM3E technology and is working to get Nvidia’s approval for that generation of chips, as well as eight-layer HBM3E. It’s an indication of the market’s promise. 


“This is a $71 billion revenue opportunity by 2027e (on our estimates), and growing, that did not exist two years ago,” the Morgan Stanley analysts wrote. “The key debate for Samsung is whether it can execute as a strong second source to Nvidia.”



Source link

Apple used Google's chips to train two AI models, shows research paper

Apple used Google's chips to train two AI models, shows research paper


Apple did not comment on Monday (Photo: PTI)


Apple relied on chips designed by Google rather than industry leader Nvidia to build two key components of its artificial intelligence software infrastructure for its forthcoming suite of AI tools and features, an Apple research paper published on Monday showed.


Apple’s decision to rely on Google’s cloud infrastructure is notable because Nvidia produces the most sought-after AI processors.

 


Including the chips made by Google, Amazon.com and other cloud computing companies, Nvidia commands roughly 80% of the market.

 


In the research paper, Apple did not explicitly say that it used no Nvidia chips, but its description of the hardware and software infrastructure of its AI tools and features lacked any mention of Nvidia hardware.

 


Apple did not comment on Monday.

 


The iPhone maker said that to train its AI models, it used two flavors of Google’s tensor processing unit (TPU) that are organized in large clusters of chips.

 


To build the AI model that will operate on iPhones and other devices, Apple used 2,048 of the TPUv5p chips. For its server AI model, Apple deployed 8,192 TPUv4 processors.

 


Nvidia does not design TPUs but rather focuses its efforts on so-called graphics processing units (GPUs) that are widely used for AI efforts.

 


Unlike Nvidia, which sells its chips and systems as standalone products, Google sells access to TPUs through its Google Cloud Platform. Customers interested in buying access must build software through Google’s cloud platform in order to use the chips.

 


Apple is rolling out portions Apple Intelligence to its beta users this week.

 


Reuters reported the use of the TPU chips in June, but Apple did not disclose the full extent of its reliance on Google hardware until Monday’s research paper.

 


Google did not return a request for comment, while Nvidia declined to comment.

 


Apple’s engineers said in the paper it would be possible to make even larger, more sophisticated models with Google’s chips, than the two models it discussed in the paper.

 


Apple unveiled a slew of new AI features at its June developer conference, including integrating OpenAI’s ChatGPT technology into its software.

First Published: Jul 30 2024 | 10:05 AM IST



Source link

Nvidia releases software, services to boost rapid adoption of GenAI

Nvidia releases software, services to boost rapid adoption of GenAI


The software and services are included in its Nvidia AI Enterprise product, which costs $4,500 per graphics processor used per year | Photo: Bloomberg


By Ian King

 


Nvidia Corp., the world’s most valuable chipmaker, announced a raft of updates to its software offerings that aim to make it easier for a wider variety of businesses to use generative artificial intelligence.

 


The chip company officially released what it calls NIMs, or Nvidia inference micro services, which are software packages that take care of many of the logistical issues needed to use AI for a specific purpose. Generative AI, the technology behind chatbots, voice recognition and other automated human interactions with computers, often requires the orchestration of numerous pieces of hardware, software and information retrieval. Many companies don’t have the expertise so Nvidia is trying to do that for them, for a fee. 


Nvidia founder and Chief Executive Officer Jensen Huang showcased his company’s latest offerings Monday at the Siggraph conference in Denver. He’s at the graphics technology conference — the latest in a stream of appearances at public events — seeking to persuade as many industries as possible to start using his technology and make AI pervasive in the economy. Later, he is scheduled to appear on stage at the conference with Meta Platforms Inc. CEO Mark Zuckerberg.


Nvidia’s chips have become central to the surge in building new systems being deployed to support artificial intelligence computing. The company’s revenue doubled last year and is on course to double again in the current fiscal year. 


The software and services are included in its Nvidia AI Enterprise product, which costs $4,500 per graphics processor used per year. The software and services are designed to work on Nvidia hardware.


“The Nvidia NIM is a comprehensive solution for deploying generative AI simplified for developers, but built for applications at scale,” said Kari Briski, Nvidia’s vice president of product management for AI and HPC software development kits.


Nvidia had made about 100 of the inference micro services available in preview and is now releasing completed versions. For example, Getty Images Holdings’ services is getting improved high-resolution image generation by making the software better at understanding text prompts. Shutterstock Inc.’s Edify three-dimensional image generator is going live with the ability to respond to text or images.


Most AI is used by knowledge workers to help with digital tasks, according to Nvidia. To get generative AI into broader circulation, Nvidia is providing software and services that will allow, for example, users of Apple Inc.’s Vision Pro headset to create virtual worlds. So-called virtual twins will be used for tasks such as training robotic computers to act more like humans, cutting out the need for developers to do it manually, Nvidia said.

First Published: Jul 30 2024 | 8:21 AM IST



Source link

Rise of ByteDance's CapCut threatens market share of Adobe and Canva

Rise of ByteDance's CapCut threatens market share of Adobe and Canva


ByteDance’s better-known app TikTok has been the subject of long-running concern from lawmakers about potential security threats to users from the Chinese government. Photo: Bloomberg


By Brody Ford and Alicia Clanton


CapCut, a video-editing app owned by Chinese tech powerhouse ByteDance Ltd., is rapidly gaining steam, threatening to lure users away from Adobe Inc. and Canva Inc.

 


The app is a streamlined tool for making videos — especially with effects popular on TikTok, the social platform also owned by ByteDance. Since launching outside China in 2020, CapCut has picked up more than 300 million monthly mobile active users and commands 81% of the total active users for mobile video editing, according to market intelligence firm Sensor Tower.


That sudden dominance is tough news for Adobe, the longtime leader in desktop creative software. Its investors have worried that users would leave behind complicated professional-oriented applications like Photoshop for simplified tools made by startups like Canva or, more recently, OpenAI.

chart


Jalen, a lifestyle content creator with nearly 20,000 TikTok followers who asked to be identified by his first name, said he was drawn to CapCut because of its simple interface and popularity with other TikTokers. CapCut templates let users quickly match video formats and export finished content directly to TikTok. Posted videos are watermarked with a CapCut link, inviting viewers to try the template themselves. The whole app is “very user friendly and ergonomic,” Jalen said.


Mass adoption of CapCut threatens the pipeline of new users to Adobe’s Premiere Pro or After Effects, where video makers traditionally land when they need more advanced tools, said Tyler Radke, an analyst at Citigroup Inc. The emergence of generative artificial based tools such as OpenAI’s Sora threatens to further complicate the picture, he added.


For now, more seasoned video-makers such as freelance advertising editor Brianna Thompson still rely on Adobe for complex projects. But she and other professionals have started using CapCut for simpler videos. “In comparison to Adobe it’s not all the way there yet, but it’s really accessible,” she said. 


And with a new desktop app, suite of tools for small businesses and a pro version priced at $9.99 per month in the US, CapCut is branching further into professional users. Sensor Tower estimates CapCut has made $125 million so far this year on mobile. A spokesperson for ByteDance declined to comment.


Deepa Subramaniam, Adobe vice president of product marketing for creative apps, said the company is working on ways to make their tools more accessible and powerful, such as the web-based Adobe Express and by adding generative AI features.


Adobe has been developing a slimmed-down version of Premiere aimed at casual users that would run in a web browser, according to a person familiar with the issue who asked not to be identified because they weren’t authorized to discuss the topic. An Adobe spokesperson declined to comment.


Still, Subramaniam said, Adobe offers “a level of precision and control in tools that professional video editors want and cannot find anywhere else — that’s really who we’re focusing on.”


Thus far, Adobe’s attempts to gain share in the mobile editing market have not panned out — its two apps that can edit video have less than 2% of the active users of CapCut, according to the Sensor Tower data.


Canva, an Australian software firm that is among the world’s most-valuable startups, has been viewed as a disrupter in creative software. But the company’s efforts to build the definitive all-in-one visual media editor may be stymied by the rise of CapCut. Canva has been “continuously investing in video,” head of product Rob Kawalsky said in a statement. Social media video creation on Canva is up 44% compared with last year, a spokesperson said.


ByteDance’s better-known app TikTok has been the subject of long-running concern from lawmakers about potential security threats to users from the Chinese government. In April, President Joe Biden signed a law to give TikTok 270 days to find a buyer or be banned in the US, with some possibility of an extension.


That divest-or-ban law was written to include CapCut, according an aide to a House Democrat who worked on the bill and wasn’t authorized to speak publicly. As part of TikTok’s appeal to the US Justice Department against the potential ban, multiple creators touted the ease-of-use of CapCut. 


While the CapCut development team is separate from TikTok, US employees share office space in Los Angeles, according to a person familiar with the company who asked not to be identified. The division is led by ByteDance executive Kelly Zhang, who in her previous role headed TikTok’s domestic sibling Douyin.


Content creator and video editing instructor Camilo Castañeda said a CapCut ban would provide an obstacle for those starting out with video-making, or balancing it with a different job. He has already seen the effects on his students in India, where TikTok and CapCut have been banned since 2020 over data privacy concerns. “Those tools have allowed people to, without friction, create content — for those apps to go, you’re literally losing a whole revenue stream,” he said. 


If CapCut is banned, Jalen said he would look for another mobile editing app with a robust amount of promotion and tutorials from popular influencers.


“I would just have to learn a new platform, but I still don’t know if I’d necessarily go with what Adobe has to offer,” Jalen said. “I’ve never really used Premiere before but from what I’ve seen in tutorials, it seems very intricate.”

First Published: Jul 29 2024 | 11:23 PM IST



Source link

YouTube
Instagram
WhatsApp