Lifeboat Foundation

Devices such as cellphones, laptops and smartwatches are constant companions for most people, spending days and nights in their pocket, on their wrist, or otherwise close at hand.

But when these technologies break down or a newer model hits stores, many people are quick to toss out or replace their device without a second thought. This disposability leads to rising levels of electronic waste—the fastest-growing category of waste, with 40 million tons generated each year.

Continue reading “Scientists create living smartwatch powered by slime mold” »

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With Qualcomm, Mediatek, and Samsung now sporting ray tracing GPUs, is this the turning point for mobile gaming graphics?

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach.

Neurotechnology and Brain-Computer Interfaces are advancing at a rapid pace and may soon be a life-changing technology for those with limited mobility and/or paralysis. There are already two brain implants, Blackrock Neurotech’s NeuroPort and Synchron’s Stentrode, that have been approved to start clinical trials under an Investigational Device Exemption. In this video, we compare these devices on the merits of safety, device specifications, and capability.

Thanks to Blackrock Neurotech for sponsoring this video. The opinions expressed in this video are that of The BCI Guys and should be taken as such.

Continue reading “Brain Implants are Here: Blackrock’s Neuroport & Synchron’s Stentrode” »

A new computational analysis by theorists at the U.S. Department of Energy’s Brookhaven National Laboratory and Wayne State University supports the idea that photons (a.k.a. particles of light) colliding with heavy ions can create a fluid of “strongly interacting” particles. In a paper just published in Physical Review Letters, they show that calculations describing such a system match up with data collected by the ATLAS detector at Europe’s Large Hadron Collider (LHC).

As the paper explains, the calculations are based on the hydrodynamic particle flow seen in head-on collisions of various types of ions at both the LHC and the Relativistic Heavy Ion Collider (RHIC), a DOE Office of Science user facility for nuclear physics research at Brookhaven Lab. With only modest changes, these calculations also describe flow patterns seen in near-miss collisions, where photons that form a cloud around the speeding ions collide with the ions in the opposite beam.

“The upshot is that using the same framework we use to describe lead-lead and proton-lead collisions, we can describe the data of these ultra-peripheral collisions where we have a photon colliding with a lead nucleus,” said Brookhaven Lab theorist Bjoern Schenke, a co-author of the paper. “That tells you there’s a possibility that in these photon-ion collisions, we create a small dense strongly interacting medium that is well described by hydrodynamics—just like in the larger systems.”

Korean tech giant claims big performance, energy efficiency gains with memory tech.

Year 2015 😗

The power of rats’ and monkeys’ brains has been pooled by wiring them up. If we could do the same with humans, it could allow non-verbal collaboration.

Year 2018 😗

State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10% of the human cortex at a resolution of individual neurons and synapses. Due to an upper limit on the number of incoming connections of a single neuron, network connectivity becomes extremely sparse at this scale. To manage computational costs, simulation software ultimately targeting the brain scale needs to fully exploit this sparsity. Here we present a two-tier connection infrastructure and a framework for directed communication among compute nodes accounting for the sparsity of brain-scale networks. We demonstrate the feasibility of this approach by implementing the technology in the NEST simulation code and we investigate its performance in different scaling scenarios of typical network simulations. Our results show that the new data structures and communication scheme prepare the simulation kernel for post-petascale high-performance computing facilities without sacrificing performance in smaller systems.

Modern neuroscience has established numerical simulation as a third pillar supporting the investigation of the dynamics and function of neuronal networks, next to experimental and theoretical approaches. Simulation software reflects the diversity of modern neuroscientific research with tools ranging from the molecular scale to investigate processes at individual synapses (Wils and De Schutter, 2009) to whole-brain simulations at the population level that can be directly related to clinical measures (Sanz Leon et al., 2013). Most neuronal network simulation software, however, is based on the hypothesis that the main processes of brain function can be captured at the level of individual nerve cells and their interactions through electrical pulses. Since these pulses show little variation in shape, it is generally believed that they convey information only through their timing or rate of occurrence.

Japan wants to get back into the leading-edge semiconductor business and very recently a new company was formed to reboot its semiconductor industry. The company is named Rapidus, referring to rapid production of new chips, a clear reference to how the company plans to differentiate its business from other foundries such as TSMC, Samsung, and Intel. The company has announced a partnership with IBM Research to develop IBM’s 2nm technology in fabs that Rapidus plans to build in Japan during the second part of this decade. Previously, Rapidus announced a collaboration with the Belgium-based microelectronics research hub IMEC on advanced semiconductor technologies. Imec is collaborative semiconductor research organization working the world’s major foundries, IDMs, fabless and fablite companies, material and tool suppliers, EDA companies and application developers.

The IBM process uses gate-all-around transistors — IBM refers to them as nano sheet FETs — which is the next generation of transistor design that enables device scaling beyond today’s FinFETs. The 2nm structures will require Rapidus to use ASML’s EUV manufacturing equipment. Business details with IBM were not disclosed, but there’s likely two parts to the deal: a cross-licensing agreement for the intellectual property necessary to build the product and a joint development agreement. While the announcement is nominally for IBM’s 2nm process, it likely includes a long-term commitment to build advanced semiconductor chips going beyond the 2nm process node.

Rapidus was formed by semiconductor veterans such as Rapidus President Atsuyoshi Koike, with backing by leading Japanese technology and financial firms, including Denso, Kioxia, Mitsubishi UFJ Bank, NEC, NTT, Softbank, Sony, and Toyota Motor. The Japanese government is also subsidizing Rapidus. The big change for Japan compared to prior national efforts is the collaboration with international organizations. It’s a recognition Japan cannot go it alone. This appears to be a fundamental change in Japanese attitudes. Building a fab in Japan will be helped by Japan’s strong manufacturing ecosystem of materials, equipment, and engineering talent.