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OAKLAND, California, March 28 (Reuters) — Artificial intelligence chip startup Cerebras Systems on Tuesday said it released open source ChatGPT-like models for the research and business community to use for free in an effort to foster more collaboration.

Silicon Valley-based Cerebras released seven models all trained on its AI supercomputer called Andromeda, including smaller 111 million parameter language models to a larger 13 billion parameter model.

“There is a big movement to close what has been open sourced in AI…it’s not surprising as there’s now huge money in it,” said Andrew Feldman, founder and CEO of Cerebras. “The excitement in the community, the progress we’ve made, has been in large part because it’s been so open.”

Energy production in nature is the responsibility of mitochondria and chloroplasts, and is crucial for fabricating sustainable, synthetic cells in the lab. Mitochondria are “the powerhouses of the cell,” but are also one of the most complex intracellular components to replicate artificially.

In Biophysics Reviews, by AIP Publishing, researchers from Sogang University in South Korea and the Harbin Institute of Technology in China identified the most promising advancements and greatest challenges of artificial mitochondria and chloroplasts.

“If scientists can create artificial mitochondria and chloroplasts, we could potentially develop synthetic cells that can generate energy and synthesize molecules autonomously. This would pave the way for the creation of entirely new organisms or biomaterials,” author Kwanwoo Shin said.

In this weeks episode of The Futurists, cognitive scientist and AI researcher Ben Goertzel joins the hosts to talk the likely path to Artificial General Intelligence. Goertzel is the founder of SingularityNet, Chairman at OpenCog Foundation, and previously as the Chief Scientist at Hanson Robotics he helped create Sophia the robot. Goertzel is on a different level, get ready to step up. Follow @bengoertzel.

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Subscribe and listen to TheFuturists.com Podcast where hosts Brett King and Robert TerceK interview the worlds foremost super-forecasters, thought leaders, technologists, entrepreneurs and futurists building the world of tomorrow. Together we will explore how our world will radically change as AI, bioscience, energy, food and agriculture, computing, the metaverse, the space industry, crypto, resource management, supply chain and climate will reshape our world over the next 100 years. Join us on The Futurists and we will see you in the future!

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The transformative changes brought by deep learning and artificial intelligence are accompanied by immense costs. For example, OpenAI’s ChatGPT algorithm costs at least $100,000 every day to operate. This could be reduced with accelerators, or computer hardware designed to efficiently perform the specific operations of deep learning. However, such a device is only viable if it can be integrated with mainstream silicon-based computing hardware on the material level.

This was preventing the implementation of one highly promising deep learning accelerator—arrays of electrochemical random-access memory, or ECRAM—until a research team at the University of Illinois Urbana-Champaign achieved the first material-level integration of ECRAMs onto silicon transistors. The researchers, led by graduate student Jinsong Cui and professor Qing Cao of the Department of Materials Science & Engineering, recently reported an ECRAM device designed and fabricated with materials that can be deposited directly onto silicon during fabrication in Nature Electronics, realizing the first practical ECRAM-based deep learning accelerator.

“Other ECRAM devices have been made with the many difficult-to-obtain properties needed for deep learning accelerators, but ours is the first to achieve all these properties and be integrated with silicon without compatibility issues,” Cao said. “This was the last major barrier to the technology’s widespread use.”

Do you really want to live forever? Futurist Ray Kurzweil has predicted that humans will achieve immortality in just seven years. Genetic engineering company touts ‘Jurassic Park’-like plan to ‘de-extinct’ dodo bird Elon Musk ‘comfortable’ putting Neuralink chip into one of his kids.

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One can only hope.

A former Google engineer has just predicted that humans will achieve immortality in eight years, something more than likely considering that 86% of his 147 predictions have been correct.

Ray Kurzweil visited the YouTube channel Adagio, in a discussion on the expansion of genetics, nanotechnology and robotics, which he believes will lead to age-reversing ‘nanobots’.

Continue reading “Former Google engineer predicts humans will achieve immortality within eight years” »

Cybersecurity researchers have discovered a fundamental security flaw in the design of the IEEE 802.11 WiFi protocol standard, allowing attackers to trick access points into leaking network frames in plaintext form.

WiFi frames are data containers consisting of a header, data payload, and trailer, which include information such as the source and destination MAC address, control, and management data.

These frames are ordered in queues and transmitted in a controlled matter to avoid collisions and to maximize data exchange performance by monitoring the busy/idle states of the receiving points.

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In this educational film scientists and engineers explain the construction of materials beginning at an atomic scale.

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So, just find some of those.