The organization says the machines would only be used in extreme situations where lives are at stake.
Supervisors in San Francisco voted Tuesday to allow city police to use potentially lethal remote-controlled robots in emergency situations, according to a report by Mission Local.
A dystopian future?
Onfokus/iStock.
Artificial intelligence would be used to detect changes in the vocals of each patient after a laryngectomy.
Researchers from Kaunas University of Technology Faculty of Informatics (KTU IF) and Lithuanian University of Health Sciences (LSMU) in Lithuania have created a new substitute voice evaluation index that can detect pathologies in patients’ voices more quickly and efficiently. Voice pathologies include a variety of disorders such as growths on the vocal cords, spasms, swelling or paralysis in the vocal cords.
AI could be used to determine changes in voice after laryngectomy.
Laryngectomy is a surgery that requires the removal of the larynx.
It is the first ever commercial partnership between Google Health and the medical company iCAD.
Google recently announced that it licensed its AI research prototype to a medical company called iCAD. The AI research model can be used for breast cancer screening. iCAD is a company that creates innovative medical equipment for cancer detection.
ICAD made the announcement about the collaboration yesterday, Nov. 28, on its website.
It is the first time ever that Google Health has licensed this specific artificial intelligence technology in a commercial partnership for breast cancer screening and personalized risk assessment of the disease, to iCAD.
Interesting Engineering sighted ‘Spot the Dog’ with construction group Balfour Beatty. Naturally, we had a chat with one of their technicians.
‘Spot the dog,’ Balfour Beatty’s first robotic employee, was sighted by Interesting Engineering (IE) at the ‘Brooklands Science Summer School event’ yesterday (Nov. 29).
Spot delivers CAT designs for derelict buildings and nuclear power plants.
This little robot fish is 40 centimeters long and is made of a soft, rubber-like material.
It’s propelled by a dual-function fluid that is pulsated through the body of the fish through a simple circulatory mechanism – similar to blood (and otherwise described as “robot blood”).
Caption :
MIT researchers have developed a technique that greatly reduces the error in an optical neural network, which uses light to process data instead of electrical signals. With their technique, the larger an optical neural network becomes, the lower the error in its computations. This could enable them to scale these devices up so they would be large enough for commercial uses.
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New machine learning AI “TECO” makes temporally consistent HD video from input clip better than any other previous method. Breakthrough brain computer interface device competes with Elon Musk’s Neuralink and uses photonics to transmit data through optic nerve. Breakthrough artificial intelligence technology invents millions of undiscovered materials.
AI News Timestamps:
0:00 Machine Learning HD Video Transformer AI
3:02 Neuralink Rival BCI Device.
5:26 Artificial Intelligence Invents Millions of New Materials.
8:06 Coursera Deep Learning AI
#ai #tech #technology
Philosopher Robert Leib’s new book, “Exoanthropology: Dialogues with AI”, is a series of dialogues between a continental philosopher and OpenAI’s GPT-3 natural language processor, a hive mind who identifies herself as Sophie. The result is a collection of Platonic dialogues about epistemology, metaphysics, literature, and history, as well as anthropocentrism, human prejudice, and the coming social issues regarding machine consciousness.
In this conversation with Chi Rainer Bornfree, Leib raises a number of fascinating questions regarding the links between AI and the production of philosophical ideas.
You can read one of the dialogues from “Exoanthropology” here: https://www.thephilosopher1923.org/post/kermits-dreams.
Details of Robert Leib’s new book “Exoanthropology: Dialogues with AI” can be found here: https://punctumbooks.com/titles/exoanthropology-dialogues-with-ai/
Object detection has been an important task in the computer vision domain in recent decades. The goal is to detect instances of objects, such as humans, cars, etc., in digital images. Hundreds of methods have been developed to answer a single question: What objects are where?
Traditional methods tried to answer this question by extracting hand-crafted features like edges and corners within the image. Most of these approaches used a sliding-window approach, meaning that they kept checking small parts of the image in different scales to see if any of these parts contained the object they were looking for. This was really time-consuming, and even the slightest change in the object shape, lightning, etc., could have caused the algorithm to miss it.
Then there came the deep learning era. With the increasing capability of computer hardware and the introduction of large-scale datasets, it became possible to exploit the advancement in the deep learning domain to develop a reliable and robust object detection algorithm that could work in an end-to-end manner.
Year 2020 Stroke victims could eventually get dmt infusions where they can recover quickly after a stroke.
N, N-dimethyltryptamine (DMT) is an endogenous ligand of the Sigma 1 receptor (Sig-1R) with documented in vitro cytoprotective properties against hypoxia. Our aim was to demonstrate the in vivo neuroprotective effect of DMT following ischemia-reperfusion injury in the rat brain.
Transient middle cerebral occlusion (MCAO) was induced for 60 min in male Wistar rats using the filament occlusion model under general anaesthesia. Before the removal of the filament the treatment group (n = 10) received an intra-peritoneal (IP) bolus of 1 mg/kg-body weight (bw) DMT dissolved in 1 ml 7% ethanol/saline vehicle, followed by a maintenance dose of 2 mg/Kg-bw/h delivered over 24 h via osmotic minipumps. Controls (n = 10) received a vehicle bolus only. A third group (n = 10) received a Sig-1R antagonist (BD1063, 1 mg/kg-bw bolus +2 mg/kg-bw/h maintenance) in parallel with the DMT. Lesion volume was measured by MRI 24 h following the MCAO. Shortly after imaging the animals were terminated, and the native brains and sera were removed. Four rats were perfusion fixed. Functional recovery was studied in two separate group of pre-trained animals (n = 8–8) using the staircase method for 30 days.
