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New optical chip design controls light speed in real time, simulations suggest

Seoul National University College of Engineering announced that a joint research team led by Professor Namkyoo Park and Professor Sunkyu Yu of the Department of Electrical and Computer Engineering at SNU, in collaboration with Professor Xianji Piao of the School of Electrical and Computer Engineering at the University of Seoul, has developed a photonic integrated circuit that can slow light on demand.

With the rapid advancement of generative AI and large-scale AI models, computational demands have surged, exposing the limitations of conventional electronic semiconductors, including high power consumption and limited data transmission speeds. As a result, demand for optical computing technologies capable of low-power, ultrafast processing is increasing. However, because light travels at a fixed speed, implementing buffer and memory functions—essential for optical computing—has remained fundamentally challenging.

To address this issue, the joint research team devised a method to freely control both the speed and shape of optical signals using a programmable photonic integrated circuit. Through this approach, the team demonstrated the ability to control “slow light” with a higher degree of freedom than any previously proposed method.

Thinner wires, faster electrons: Quantum material challenges copper at chip scale

Electrical interconnects may very well be the unsung heroes of modern microchips. These tiny wires—typically made of copper due to its high conductivity—string together the billions of transistors that drive our computers and electronic devices. But as the technology advances and additional transistors are piled on, the components must shrink to the nanoscale. And that’s when copper begins to fail.

Cornell researchers have developed a potential replacement for copper interconnects: single-crystal nanowires of niobium arsenide. This topological semimetal paradoxically becomes a better conductor the thinner it gets, boosting electronic performance.

The findings were published July 16 in Science. The lead author is doctoral student Yeryun Cheon. Judy Cha, the Rick and Betty Tsai Ph.D. 1981 Professor in Materials Science and Engineering in the Cornell Duffield College of Engineering, is the paper’s senior author.

UCLA scientists develop offtheshelf immunotherapy for ovarian cancer

When the team tested the novel CAR-NKT therapy on 35 ovarian patient-derived tumor samples, the results were striking. The CAR-NKT cells successfully killed ovarian cancer cells in every single sample — including samples from both newly diagnosed patients and patients whose cancers had recurred after chemotherapy.

“Combating this high rate of recurrence in ovarian cancer is my career mission,” said co-senior author Memarzadeh, a professor of obstetrics and gynecology and a member of the UCLA Broad Stem Cell Research Center and the UCLA Health Jonsson Comprehensive Cancer Center. “When I see these results, I know we’re getting closer to offering patients like mine a more effective and permanent solution.”

Stroke Severity and Functional Benefit of Thrombectomy in Acute M2 Middle Cerebral Artery OcclusionA Multicenter Cohort Study

Background and ObjectivesRecent randomized trials reported no overall functional benefit of endovascular treatment (EVT) for distal medium-vessel occlusion (DMVO) and did not identify consistent effect modifiers to guide patient selection. Consequently,…

Artificial Intelligence Trends That Will Change Everything

*Discover the biggest Artificial Intelligence trends that will reshape the world over the next decade.*

AI is evolving faster than ever. From autonomous AI agents and humanoid robots to AI-generated video, multimodal intelligence, scientific breakthroughs, and personalized software, the next wave of artificial intelligence is already transforming the way we work, create, and live.

In this video, we’ll explore the most important AI trends that could define the future of technology—and why the biggest AI revolution may already be happening around us.

Chapters:
00:00 The Future of Artificial Intelligence.
00:48 Special Thanks to Our Members.
01:17 AI Agents.
03:01 AI Memory.
04:55 Multimodal AI
06:40 AI Robots.
08:21 Personalized AI
09:41 AI-Generated Video.
11:25 AI in Scientific Discovery.
12:54 Small AI Models.
14:07 The Future of Search.
15:24 Human + AI
16:32 The Invisible AI Future.

If you enjoy content about artificial intelligence, future technology, robotics, automation, and emerging innovations, subscribe to *FutureLens* and join us as we explore the technologies shaping tomorrow.

👍 Like the video if you found it valuable.

Most Of The Universe Is Missing And We Don’t Know Why

Everything you see, touch and are built from is a minority of what the universe is actually made of, and the closer physics looks at the rest, the less the picture holds together. Over the next 3 hours, we move outwards through that problem: from the 85 per cent of matter that is invisible, to the visible matter whose textbook description is admittedly unfinished, to a dimension of space that scientists are now building by hand in a lab, and finally to the question of whether we can ever truly know what reality is made of at all.

Watch our interview with Dark Energy Researcher, Tessa Baker: • What If Dark Energy Comes From Space-Time…

00:00:00 Intro.
00:01:39 We May Be Wrong About Dark Matter.
00:31:38 Frank Close: We Were Wrong About Matter.
01:39:09 Scientists Build A Window Into The Fourth Dimension.
02:01:37 Sean Carroll: We May Never Understand Reality.

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