Lifeboat Foundation

Li is one of the tech leaders we interviewed for the latest issue of MIT Technology Review, dedicated to the biggest questions and hardest problems facing the world. We asked big thinkers in their fields to weigh in on the underserved issues at the intersection of technology and society. Read what other tech luminaries and AI heavyweights, such as Bill Gates, Yoshua Bengio, Andrew Ng, Joelle Pineau, Emily Bender, and Meredith Broussard, had to say here.

In her newly published memoir, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI, Li recounts how she went from an immigrant living in poverty to the AI heavyweight she is today. It’s a touching look into the sacrifices immigrants have to make to achieve their dreams, and an insider’s telling of how artificial-intelligence research rose to prominence.

When we spoke, Li told me she has her eyes set firmly on the future of AI and the hard problems that lie ahead for the field.

👉For business inquiries: [email protected].
✅ Instagram: https://www.instagram.com/pro_robots.

DARPA: robots and technologies for the future management of advanced US research. DARPA military robots. DARPA battle robots. Military technologies DARPA. Battle robots of the future. Technologies of the future in the US Army.

Continue reading “DARPA — robots and technologies for the future management of advanced US research | PRO Robots” »

Psychologist Yvonne R. Masakowski, Ph.D., a retired Associate Professor in the College of Leadership & Ethics at the USNWC, discusses the threat of psychological warfare in the 21st century and the disturbing possibilities that could shape how we think and act in the future. The Naval War College Foundation hosted this wide-ranging presentation — one of the most popular in our series — on February 23, 2022.

Biological computing machines, such as micro and nano-implants that can collect important information inside the human body, are transforming medicine. Yet, networking them for communication has proven challenging. Now, a global team, including EPFL researchers, has developed a protocol that enables a molecular network with multiple transmitters.

First, there was the Internet of Things (IoT) and now, at the interface of computer science and biology, the Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and health care. The IoBNT refers to biosensors that collect and process data, nano-scale Labs-on-a-Chip that run medical tests inside the body, the use of bacteria to design biological nano-machines that can detect pathogens, and nano-robots that swim through the bloodstream to perform targeted drug delivery and treatment.

“Overall, this is a very, very exciting research field,” explained Assistant Professor Haitham Al Hassanieh, head of the Laboratory of Sensing and Networking Systems in EPFL’s School of Computer and Communication Sciences (IC). “With advances in bio-engineering, synthetic biology, and nanotechnology, the idea is that nano-biosensors will revolutionize medicine because they can reach places and do things that current devices or larger implants can’t,” he continued.

From predicting EV charge times to pinpointing areas of high wildfire risk, AI is transforming our energy network.

The power grid is growing increasingly complex as more renewable energy sources come online.

At this point, Nvidia is widely regarded as the 800 pound gorilla, when it comes to silicon and software for artificial intelligence.

Beyond AI, as I mentioned previously, all of Nvidia’s BUs realized quarterly growth. Though its Automotive group rose a modest 3% to $261M, the company’s automotive design win pipeline is projected at $14 billion in new business (numbers soon to be updated). Automotive design wins have a longer gestation period, and the company has noted that this revenue impact opportunity will begin materializing in 2024 and beyond. Shifting to Nvidia’s Professional Visualization business unit, sequential growth of 9.8% to $416 million was achieved, while the company’s OEM And Other business grew 10.6% to $73 million. Finally, Nvidia’s Gaming group delivered $2.856 billion for the quarter, compared to $2.49 billion in its previous Q2 quarter (up about 15%), and $2.24 billion quarter on quarter from a year ago. Here again, the company’s gaming GPUs and software are widely respected as the performance and feature leaders currently in the PC Gaming industry, though its chief rival AMD is beginning to execute better with its Radeon product line, along with its potent Ryzen CPUs as a 1–2 punch platform solution.

Moving forward, the company guided for a nice round $20 billion for its Q4 FY24 number, representing a projected 11% sequential gain. There will be a bit of headwind of course, from competitors like AMD that is expected to deliver its MI300 GPU AI accelerators in December at its Advancing AI event. That said, it’s going to be a tough slog for all competitors, due to Nvidia’s long-building inertia as the clear leader and incumbent in AI. Another component of the company’s data center silicon portfolio is just coming online now as well, with its Grace-Hopper combined CPU-GPU Superchip, competing for host processor AI data center sockets, which Huang noted is “on a very, very fast ramp with our first data center CPU to a multi-billion dollar product line.”

Continue reading “Nvidia Q3 Earnings Explode On Surging Data Center AI And Gaming Demand” »

A groundbreaking paper in Nature Neuroscience seems straight out of a sci-fi movie.

We are now able to translate human thought into text and images with the help of artificial intelligence. Is this the end of privacy? Here’s everything you need to know.

Well before Washington banned Nvidia’s exports of high-performance graphic processing units to China, the country’s tech giants had been hoarding them in anticipation of an escalating tech war between the two nations.

Baidu, one of the tech firms building China’s counterparts to OpenAI, has secured enough AI chips to keep training its ChatGPT equivalent Ernie Bot for the “next year or two,” the firm’s CEO Robin Li said on an earnings call this week.

“Also, inference requires less powerful chips, and we believe our chip reserves, as well as other alternatives, will be sufficient to support lots of AI-native apps for the end users,” he said. “And in the long run, having difficulties in acquiring the most advanced chips inevitably impacts the pace of AI development in China. So, we are proactively seeking alternatives.”

The robot can help the construction industry overcome its challenges and reduce its environmental impact.

Michael Lyrenmann via Science Robotics.

A team of researchers has developed a 12-ton (approximately 2,000 pounds) autonomous robot that can construct stone walls from natural and recycled materials using advanced technologies. This could help the construction industry overcome its challenges of low productivity, high waste, and labor shortages while reducing its environmental impact and improving its sustainability.