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Jun 11, 2023

Technology For Technology’s Sake Is The Downfall Of The CIO

Posted by in categories: business, finance, robotics/AI

A unique use case for AI is around enhanced transaction monitoring to help combat financial fraud. Traditional rule-based approaches to anti-money laundering (AML) use static thresholds that only capture one element of a transaction, meaning they deliver a high rate of false positives. Not only is this hugely inefficient, but it can also be very demotivating for staff. With AI, multiple factors can be reviewed simultaneously to extract a risk score and develop an intelligent understanding of what risky behavior looks like. A feedback loop based on advanced analytics means that the more data is collected, the more intelligent the solution becomes. Pinpointing financial crime becomes more efficient and employees also benefit from more free time to focus efforts on other areas of importance like strategy and business development.

Thanks to its ever-increasing applications to evolving business challenges, regulators and financial institutions can no longer turn a blind eye to the potential of AI, with the power to revolutionize the financial system. It presents unique opportunities to reduce the capacity for human error, costing highly regulated industries billions each year.

What’s clear is that some technologies will, over time, become too difficult to ignore. As we saw with the adoption of the cloud, failure to embrace innovative technologies means organizations will get left behind. The cloud was once a pipedream, but now it’s a crucial part of all business operations today. Businesses implemented (or are in the process of implementing) huge digital transformation projects to migrate business processes to the cloud. Similarly, new organizations will kickstart their businesses in the cloud. This is a lesson that technologists must remain alert and continue to keep their finger on the pulse when it comes to incorporating fresh solutions.

Jun 11, 2023

Gang-rape and genital electrocution: How Russia’s war crimes in Ukraine could go un-prosecuted

Posted by in categories: habitats, law

One month into living under Russian occupation in northern Ukraine, Marina cycled cautiously through her village. She was five doors from her elderly parents’ blue garden gate when three soldiers ordered her to stop. Grabbing her hair, they dragged Marina into a neighbour’s empty house.

“They forced me to strip naked,” the 47-year-old said, picking at the skin around her fingernails. “I asked them not to touch me, but they said: ‘Your Ukrainian soldiers are killing us’.”

Continue reading “Gang-rape and genital electrocution: How Russia’s war crimes in Ukraine could go un-prosecuted” »

Jun 11, 2023

It’s Alive? This Billionaire Funds Startup Growing Brain Cell ‘Biocomputers’

Posted by in categories: biotech/medical, finance, robotics/AI

Billionaire investor Li Ka-Shing is funding a new technology that can potentially rival artificial intelligence (AI) by using brain cells blended with computers in a technology it calls DishBrain.

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This science fiction-sounding tech comes from Australian biotech firm Cortical Labs. The company recently raised $10 million in a round led by Horizons Ventures, the investment vehicle of the 94-year-old Ka-Shing, the richest person in Hong Kong. Additional investors included Blackbird Ventures, an Australian venture capital (VC) fund; In-Q-Tel, the investment arm of the Central Intelligence Agency; U.S. firm LifeX Ventures; and others.

Jun 11, 2023

A gamma-ray explosion that was so bright it blinded scientists’ equipment is even weirder than first thought

Posted by in category: futurism

The brightest gamma-ray explosion ever caught on record, which was so bright it blinded scientific instruments, just got weirder.

GRB 221,009, first spotted in October 2022, outshone other cosmic explosions on record by “not just a little bit, but a hundred times,” George Washington University graduate student Brendan O’Connor said in a press release.

The explosion earned the nickname BOAT for “Brightest of All Time.”

Jun 11, 2023

Triage Cancer Presents: Supporting Caregivers

Posted by in categories: biotech/medical, employment, finance

Caregivers of individuals with cancer likely have concerns about employment rights, finances, and support. This video will provide some options to support cancer caregivers.

Jun 11, 2023

Warhammer 40K: Necron Hypertech

Posted by in categories: biotech/medical, nanotechnology

Today Loremasters we explore some of hyper technology of the Necrons – the World Engine, Celestial Orrery & the Dolmen Gates.

Masters of Material Technology

The Necrons are the masters of Material technology, and their technological feats may seem magical to lesser races. Their technological masters, Crypteks, can manipulate matter at a fundamental level and wield such arcane concepts as phase-gates, subatomic infusion, and temporal looping. Several Necron super-weapons such as the World Engine and Celestial Orrery have galaxy-devastating capabilities. However it is Living Metal, or Necrodermis, which equips nearly all Necron technology. These billion-strong swarns of nano–Scarabs crawl under the skin of Necrons at a cellular level, allowing for self-repair and regeneration. Also, on particularly rare occasions, a super heavy Necron device called a Necron Pylon is seen. It is feared for its extreme power and ability to appear anywhere on the battlefield.

Jun 11, 2023

Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence

Posted by in category: neuroscience

Camacho et al. show that emotion concepts are represented throughout the brain, giving insight to how the brain perceives real-world emotions. These patterns are present before children enter school and become more standardized across adolescence.

Jun 11, 2023

Here Is the World’s First X-Ray of a Single Atom

Posted by in category: particle physics

Scientists just made the invisible visible.

Jun 11, 2023

Stem Cells Can Defy Their Fates via Mitochondrial Mechanism

Posted by in category: biotech/medical

Stem cell differentiation paths found to permit U-turns, provided mitochondrial signaling loop is engaged.

Jun 11, 2023

Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality

Posted by in categories: habitats, robotics/AI

The explicit modeling of the input modality is typically required for deep learning inference. For instance, by encoding picture patches into vectors, Vision Transformers (ViTs) directly model the 2D spatial organization of images. Similarly, calculating spectral characteristics (like MFCCs) to transmit into a network is frequently involved in audio inference. A user must first decode a file into a modality-specific representation (such as an RGB tensor or MFCCs) before making an inference on a file that is saved on a disc (such as a JPEG image file or an MP3 audio file), as shown in Figure 1a. There are two real downsides to decoding inputs into a modality-specific representation.

It first involves manually creating an input representation and a model stem for each input modality. Recent projects like PerceiverIO and UnifiedIO have demonstrated the versatility of Transformer backbones. These techniques still need modality-specific input preprocessing, though. For instance, before sending picture files into the network, PerceiverIO decodes them into tensors. Other input modalities are transformed into various forms by PerceiverIO. They postulate that executing inference directly on file bytes makes it feasible to eliminate all modality-specific input preprocessing. The exposure of the material being analyzed is the second disadvantage of decoding inputs into a modality-specific representation.

Think of a smart home gadget that uses RGB photos to conduct inference. The user’s privacy may be jeopardized if an enemy gains access to this model input. They contend that deduction can instead be carried out on inputs that protect privacy. They make notice that numerous input modalities share the ability to be saved as file bytes to solve these shortcomings. As a result, they feed file bytes into their model at inference time (Figure 1b) without doing any decoding. Given their capability to handle a range of modalities and variable-length inputs, they adopt a modified Transformer architecture for their model.