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Showing posts with label Intel. Show all posts
Showing posts with label Intel. Show all posts

Friday, 14 March 2025

Muar-born Tan Lip-Bu is new CEO of Intel

New Intel Corp CEO Tan Lip-Bu. — Photo courtesy of Intel

PETALING JAYA: Malaysian-born Tan Lip-Bu (Americanised to Lip-Bu Tan) has been appointed chief executive officer (CEO) of troubled technology firm Intel Corp, effective March 18, with many industry observers aching to see what strategies the new boss has in place to turn around the chip giant.

He takes over from Pat Gelsinger, three months after the company veteran was forced out by Intel’s board because his costly and ambitious plan to improve the firm’s performance was seen as faltering and sapping investor confidence.

Notably, Tan’s appointment will also attract the attention of Donald Trump, with the US president eager for Intel to rebound in his push for more manufacturing in the country, threatening tariffs on imports that have roiled global markets for weeks.

Independent analyst Jack Gold told Reuters that Tan would be able to leverage his experience and especially his industry connections, while pursuing excellence within Intel. 

“Hopefully the board will stay out of his way as he makes the necessary changes,” Gold said.

Tan moves in the same social circle as Lisa Su from Advanced Micro Devices and Nvidia’s Jensen Huang, two artificial intelligence (AI) chip leaders who, according to Reuters, had been pitched to invest in Intel.

Born in Muar in 1959, Tan grew up in Singapore and was educated there, graduating from Nanyang University with a Bachelor of Science degree, majoring in Physics. He later completed a Master of Science in nuclear engineering at the Massachusetts Institute of Technology (MIT) in the United States.

Now a naturalised American, Tan began his doctoral studies in nuclear engineering at MIT, before moving to the University of San Francisco in California, where he graduated with a Master of Business Administration and founded venture capital firm Walden International in 1987.

A former Intel board member himself, he had been seen as a contender for the CEO’s post thanks to his deep experience in the chip industry and his status as a long-time technology investor in promising startups.

For example, he took a stake in Annapurna Labs, a startup later purchased by Amazon.com Inc for US$370mil that has become the heart of its inhouse chip division.

He also invested in Nuvia, which Qualcomm bought for US$1.4bil in 2021, making it a central part of its push to compete with Intel in the laptop and PC chip markets.

Tan remains actively involved with startups that could either become competitors or acquisition targets for Intel, exemplified by the fact that earlier this week he invested in AI photonic startup Celestial AI, which is backed by Intel rival Advanced Micro Devices.

In a letter to Intel employees on Wednesday, Tan said: “Together, we will work hard to restore Intel’s position as a world-class products company, establish ourselves as a world-class foundry and delight our customers like never before.”

Intel shares surged 12% in extended trading on Wednesday, and analysts welcomed the move which they said was likely to bring some stability to the chipmaker.

The company’s stock had declined by 60% in 2024.

From 2009 to 2021, Tan was CEO of Cadence Design Systems, a chip design software firm whose fortunes he revived by focusing Cadence around supplying the software for sophisticated designs and partnering closely with Taiwan Semiconductor Manufacturing Co (TSMC), which from its founding days swore it would focus only on manufacturing.

During Tan’s time at Cadence, the firm’s stock appreciated 3,200% and it landed Apple as one of its largest customers, as the iPhone maker shifted away from suppliers such as Intel and toward its own chips.

Cadence’s tools also became central to chip industry firms such as Broadcom, which helps Google, Amazon and others design their own AI chips and have them made by TSMC.

“He did a really good job of pointing (Cadence) in the right direction. Cadence really aligned itself with TSMC – they saw them as a leader and the go-to shop,” Karl Freund, an analyst with Cambrian AI Research, told Reuters.

Intel is undergoing a historic transition as it attempts to emerge from one of its bleakest periods.

While struggling to cash in on a boom in investment in advanced AI chips that has fired up the fortunes of market leader Nvidia and other chipmakers, the company is spending heavily to become a contract manufacturer of chips for other companies, leading some investors to worry about pressure on its cash flow.

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Sunday, 20 October 2013

Kinect Technologies for PCs, can track you through walls

Intel’s gesture control tech will be built into PCs from 2014

Ever since Microsoft’s Kinect came out, it has been wondering when the technology would get built into PCs. Yes, there is Kinect for Windows, but it’s a peripheral — about having advanced motion detection capabilities in the webcam, as a bridge to exciting future user interfaces.

Well, today, such technology is on its way, but not from Microsoft. No, it’s Intel that the PC manufacturers are talking to, and it’s not Kinect that’s the base: it’s Intel’s perceptual computing technology.

According to Paul Tapp, senior product manager in Intel’s perceptual computing division, manufacturers have “committed to doing it” in 2014 – “it” being the integration of an Intel-designed motion-detection system into their machines. And in the meanwhile, peripherals maker Creative put its $210 Senz3D, the first retail device to use the technology.

Intel Portal 2 gesture control demoCreative’s Senz3D camera is up for pre-order. It’s the first peripheral to use Intel’s perceptual computing tech, which will be built into computers from next year. >>

Contributed by By David Meyer Gigaom.com


MIT’s ‘Kinect of the future’ can track you through walls


Researchers from MIT have unveiled a new form of motion tracking that uses a three-point system to follow a person’s position, even through a totally opaque wall. Though the word “Kinect” has been thrown around quite liberally for the sake of accessibility, this is strictly a positional tracker — that means that it won’t be interpreting sign language or reading lips any time soon. Rather than being a control mechanism, this device is purely for keeping tabs on users as they move both within and between rooms. At present the tracker is set up directionally, so it can only see through the single wall at which it is pointed, but the obvious end goal is an omnidirectional tracker that could follow a user through the whole house, upstairs and down.

The system works using three radio antennas spaced about a meter apart to bounce signals off a person’s body. Even through the researchers’ office wall, it can follow people with an accuracy of up to 10 centimeters (four inches), better than WiFi localization can currently provide. Though the device is exploded and sitting as component parts at present, one grad student working on the project said they expect to be able to condense it down to a final unit no larger than Microsoft’s Kinect sensor.

Beyond the loss of Kinect-like image and silhouette tracking, the MIT system can also only track a single person at a time. A second moving object within the system’s field of view will cause confusion and make the system useless — though that problem is, of course, to be addressed soon. It also has trouble with stationary objects, but they already have a first pass on an algorithm to get around this by recognizing the motion of a person breathing.

Applications for the technology, assuming its kinks and limitations are addressed, are numerous. There are the obvious gaming applications, perhaps blurring the line between real and virtual locations as players stalk through real hallways full of video-game enemies. All Oculus Rift fantasies aside though, there are plenty of more substantive reasons to be excited about the ability to keep track of people without their need to carry a transmitter. Rather than installing motion trackers in every corner of the home, a single tracker near the center might be able to intelligently turn the lights on and off as you move from room to room.

Architects and advertising researchers would love to know how people move through a particular space, where they spend their time, and what places they tend to avoid. The health care industry could keep better track of people in need of supervision, receiving an alert if, say, a person with dementia begins to wander away.
Though it's a sprawling array today, the researchers say they the device could end up smaller than a Kinect.
Though it’s a sprawling array today, the researchers say that the device could end up smaller than a Kinect.>>

Of course, there are also the more troubling possible uses. WiFi localization currently requires users to hold a tracking device, while more versatile options like holographic localization are slow and low fidelity. MIT is now bringing a high degree of accuracy and usability together with the versatility that comes with being able to track people who have never consented to be tracked. If the signal could be made strong enough, it could render prison break-outs virtually impossible, or let law enforcement quickly check the number and position of people in a hostage situation.

Human and civil rights activists might have something to say about such applications, however. That’s really the downfall of a catch-all people-tracker for use outside of private homes: I can’t imagine a world in which its use would remain legal for long. People are leery enough about ad agencies tracking their online activities — how might people react to the idea of a company monetizing their walking path through the local mall? The Kinect has already got certain people up in arms over just the possibility of always-on functionality, and that would only have mattered when the user was standing directly in front of their television.

The team has a patent pending for the technology, but the concept seems like it would be easy enough to adapt with slight changes. It’s still in its infancy, but finding a person through a wall by picking up on their breathing is about as strong a proof of concept as they could ever have hoped for.

Contributed by Graham Templeton Extremetech.com

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